Monday, October 13, 2025

< + > Big Deal, Little Deal, No Deal – Healthcare IT Today Podcast Episode 177

For the 177th episode of the Healthcare IT Today Podcast, we are doing another round of big deal, little deal, no deal! For these episodes, we discuss a variety of hot and trending topics to discuss whether we think they are a big deal, a little deal, or no deal at all.

Here’s a preview of the topics we discuss in this episode:

  • Quest Selects Epic for Project Nova
  • $100k H1B visa
  • RevSping Acquires Kyruus Health
  • AI – MIT Studies – “95% of generative AI pilots at companies are failing” and “ChatGPT May Be Eroding Critical Thinking Skills”

Now, without further ado, we’re excited to share with you the next episode of the Healthcare IT Today podcast.

We publish a new Healthcare IT Today podcast every ~2 weeks. Thanks to our friends at Healthcare Now Radio, you’ll be able to listen to the latest episodes of Healthcare IT Today on their radio station for the first two weeks. Then, we’ll be publishing each episode as a podcast and YouTube video here after it finishes on the radio.

You can also subscribe to the Healthcare IT Today podcast on any of the following platforms:

Thanks for listening to Healthcare IT Today and if you enjoy the content we’re sharing, please rate the podcast on your favorite podcasting platform.

Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube.  Plus, all of the audio and video versions will be made available to stream on HealthcareITToday.com.

If you work in Healthcare IT, we’d love to hear where you agree and/or disagree with the perspectives we shared. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, with @Colin_Hung or @techguy on Twitter, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes.

Thanks so much for listening!

Listen to Our Latest Episodes:



< + > From Bottlenecks to Breakthroughs: AI’s Role in Timely Patient Discharges

The following is a guest article by Mike Coen, Chief Product & Technology Officer at TeleTracking Technologies

Hospitals share a common challenge: patients are staying longer than they should because discharges are delayed. Every extra hour a patient spends in a hospital bed after they are clinically ready to leave has a ripple effect, backing up the emergency department, reducing surgical throughput, and straining staff – ultimately putting patient outcomes at risk.

Discharge delays are not only a matter of efficiency, but also a matter of safety and quality. Patients who stay longer than necessary are more likely to experience complications, hospital-acquired infections, or functional decline. Meanwhile, those waiting for beds in the emergency department or post-anesthesia care unit face delays in receiving the care they urgently need.

The good news is that technology, specifically AI-based decision support tools, is beginning to shift the paradigm. By building real-time visibility and actionable insights into centralized command centers, health systems can streamline workflows, eliminate unnecessary delays, speed safe discharges, and improve outcomes for patients across the continuum of care. 

The Cost of Delayed Discharges

On the surface, a discharge delay may be the result of a minor administrative hiccup, a prescription that isn’t ready, or transport that is running late. When multiplied across dozens of patients every day, these small issues add up to major consequences:

  • Emergency Department Crowding: Patients ready to be admitted can’t move upstairs, leaving others waiting on stretchers
  • Cancelled or Delayed Surgeries: Lack of available post-operative beds forces surgical teams to reschedule
  • Staff Stress and Burnout: Nurses and physicians juggle competing demands without enough capacity to manage them efficiently
  • Patient Harm: Prolonged hospital stays increase exposure to hospital-acquired conditions and reduce patient satisfaction

Preventing discharge delays isn’t just about logistics; it’s central to a hospital’s mission of delivering safe, timely, high-quality care. It also impacts the availability of that bed to host the next patient in line. 

Closing Systemwide Blind Spots 

One of the biggest obstacles to timely discharges is a lack of systemwide visibility. Different teams may have partial information. For example, nurses know who might be close to leaving, case managers track pending authorizations, and transport sees upcoming requests. Unfortunately, the big picture is often missing.

Traditional dashboards offer some help, but they typically describe the problem (“20 discharges pending”) without pointing to solutions. What hospitals need is technology that not only aggregates real-time data across units but also transforms that data into actionable steps: who should be discharged next, what tasks must be completed, and how to coordinate multiple teams to make it happen.

AI is transforming the discharge process from reactive to proactive. Instead of waiting until late in the day to identify potential discharges, predictive models can highlight likely candidates much earlier. This allows case managers to secure post-acute placements, pharmacists to prepare medications, and patients to coordinate transportation before the physician writes the final order.

Even more powerful is the ability to prioritize discharges based on system-wide impact. For example, freeing up an ICU bed may be more urgent than a general medical bed if surgical patients are waiting. By aligning discharges with expected admissions, hospitals can make better use of limited capacity and reduce unnecessary bottlenecks.

Coordinating the Discharge Workflow

A timely discharge requires more than a physician’s order; it is a sequence of interconnected steps involving multiple departments. Nurses must complete education and final checks, the pharmacy must prepare take-home medications, and transport may need to be called to move the patient out of the room. After all that happens, the room must then be cleaned by Environmental Services before it can be ready for the next patient. 

Technology can help orchestrate this complex process. Real-time task management tools now automatically notify each team when it’s their turn, sequencing tasks in the most efficient order, and even reassigning work dynamically if delays occur. For frontline staff, this reduces uncertainty and unnecessary work. For patients, it translates into a smoother, faster transition out of the hospital and a better overall patient experience.

Patients discharged earlier in the day are known to have lower readmission rates, better satisfaction scores, and improved continuity of care. Delayed discharges, on the other hand, can erode trust, frustrate families, complicate handoffs to post-acute providers, and result in worse outcomes.

Technology supports improved outcomes by ensuring that patients leave at the right time, with the right support in place. That means their medications are ready, instructions are clear, follow-up appointments are scheduled, and the receiving facility or caregiver is prepared. By standardizing these processes and reducing the risk of last-minute scrambling, hospitals can deliver safer and more reliable transitions of care.

The Role of Command Centers

Many health systems are now turning to centralized operations or “command centers” to coordinate patient flow across the enterprise. These centers bring together real-time data on census, admissions, and discharges to help leaders make informed decisions.

When integrated with advanced technology, command centers can move beyond monitoring to active coordination. They not only provide visibility to the problem but, with the integration of AI, can also make thoughtful recommendations on steps to solve the problem. For example, they can identify when discharges are not keeping pace with admissions, escalate barriers that require intervention, and recommend redeploying resources where they are needed most.

As technology evolves, the command center’s role has shifted further – from currently being a manual coordination hub to becoming a workflow orchestrator via AI-driven processes. However, the principle remains the same: visibility and coordination are key to preventing delays.

Empowering Staff, Not Replacing Them

While technology can streamline processes, it’s important to recognize that healthcare is ultimately human. Nurses, physicians, case managers, and support staff bring judgment, empathy, and expertise that no algorithm can replace.

The goal of technology should be to empower staff by removing administrative friction. Instead of spending valuable time chasing down tasks, staff can focus on engaging with patients, answering questions, and ensuring that the discharge experience feels seamless and supportive. This way, technology doesn’t diminish the human touch, it protects it.

Adopting new technology requires more than installing software. Staff need to trust the system, understand why it recommends certain actions, and feel confident that it supports rather than overrides their professional judgment.

Successful hospitals take a deliberate approach to change management by:

  • Engaging frontline staff early in the design and rollout of new tools
  • Providing transparency into how data and recommendations are generated
  • Training teams on how to use technology in real workflows
  • Celebrating quick wins that show measurable impact on patient flow and outcomes

The vision for the future is clear: Hospitals where discharge planning begins on day one, where every department works in sync, and where patients leave on time with confidence in the next step of their care.

Technology will continue to play a central role in this future by predicting discharges earlier, prioritizing based on system needs, and orchestrating tasks seamlessly across teams. The payoff will be felt not only in operational metrics like length of stay and ED boarding, but also in the experiences and outcomes of patients and families.

Preventing discharge delays isn’t just about running hospitals more efficiently. It’s about making sure every patient gets the right care, in the right place, at the right time. With the right technology, that goal can become reality.

About Mike Coen

Mike Coen, Chief Product & Technology Officer at TeleTracking Technologies, is a seasoned engineering executive with experience developing web-scale platforms, consumer cloud services, and enterprise products while building world-class, high-performing global engineering teams.  

Prior to TeleTracking, Mike was the Director of Engineering at Leidos in the Commercial Healthcare Group. He was also Sr. Manager of Software Development at Amazon and was a key individual leading the design and implementation of Amazon’s Advertising Analytics Platform. At the time of his departure, this platform was one of the largest Apache Hadoop clusters in the world. Mike has also held various Architect and Engineering roles at Lockheed Martin and Koch Industries.

Mike holds a Bachelor of Science in Computer Engineering and a Bachelor of Science in Electrical Engineering from West Virginia University and attended Syracuse University in Graduate Studies in Computer Engineering.



< + > Truven Acquires Springbuk to Help Employers Make Better, Faster Healthcare Decisions

Truven’s Portfolio of Real-World Data, Healthcare Analytics, and Member Engagement Solutions Expands to Include Springbuk’s Health Intelligence Platform and Activate Marketplace

Truven by Merative, a leading portfolio of healthcare analytics and real-world data solutions, has acquired Springbuk, a leading health intelligence platform for employers and their advisors. This transaction adds more than 7,500 small- and mid-market employers to the Truven customer base that already includes more than 40 percent of Fortune 100 employers and 7 of the top 10 U.S. health plans by enrollment.

Employer-sponsored healthcare, often the second-largest expense for companies after the cost of goods and services, is a key focus as businesses emphasize employee wellbeing. Over the last five years, the average premium for family coverage has increased by 24%. Truven and Springbuk share a common goal of using data, analytics, and software platforms to identify the insights and actions required to inform healthcare program decisions and reduce the rising costs of employer-sponsored healthcare.

“Truven and Springbuk are a powerful combination that can scale to meet a wide range of employer needs,” said Marcy Tatsch, Executive Vice President and General Manager at Truven. “From small businesses looking for streamlined options to the nation’s largest employers and health plans with complex analytics and care management needs, Truven’s portfolio can quickly get them the actionable insights they require.”

Truven and Springbuk bring together several proven solutions that will continue to serve the employer market. The solutions include:

  • Truven Health Insights – a comprehensive data management and healthcare analytics solution that analyzes, visualizes, and reports on benefits program performance among hundreds of the largest U.S. employers, benefit advisors, public plan sponsors, and health plans; it helps clients understand how programs in place are working, find effective interventions to optimize healthcare spend, and improve employee and health plan performance; Health Insights is exclusively enabled by the full portfolio of MarketScan Benchmarks
  • Truven MarketScan Databases – a rich, longitudinal source of research-grade real-world data and evidence used by 17 of the world’s top 20 pharmaceutical companies and 50 leading academic institutions; the dataset provides fully adjudicated closed claims and productivity data from more than 350 employer sources and covers more than 300 million unique patient lives; it helps clients develop conclusive evidence with confidence and efficiency
  • Springbuk Health Intelligence Platform – a cloud-native software solution providing fast, actionable insights for benefits leaders and their consultants and brokers, with strong influence in the small- and mid-size employer markets; more than 7,500 employers use the platform that helps clients answer complex health benefits questions with its intuitive, fast-acting reporting and software
  • Springbuk Activate Marketplace – Once employers and benefits advisors uncover actionable opportunities using Springbuk Insights, they can turn to the Marketplace to find possible partners; it matches employers based on their population’s health needs or risks, showing them opportunities in savings and program engagement, all in one place

“Our team remains relentlessly focused on tackling the issues of rising healthcare costs, benefits program effectiveness, and improving the health of employees,” said Joy Powell, Chief Executive Officer at Springbuk. “By joining Truven, Springbuk will scale and help more employers leverage the benefits of Truven’s one-of-a-kind MarketScan data, industry benchmarks, and advanced analytics.”

Raymond James & Associates, Inc. served as financial advisor, and Holland & Knight LLP served as legal counsel to Springbuk, Inc., while Benesch Friedlander Coplan & Aronoff LLP served as legal counsel to Merative.

About Truven

Truven is a portfolio of healthcare data and analytics solutions, backed by 40 years of deep healthcare expertise. We help organizations understand, enhance, and maximize healthcare data to drive better health and financial outcomes. Through best-in-class data quality and market-leading solutions like Health Insights and MarketScan, Truven serves 7 of the top 10 U.S. health plans, more than 40% of the Fortune 100, and the top global pharmaceutical companies. Truven is part of Merative, a standalone company established by majority investor Francisco Partners in July 2022. Learn more at truven.com

About Springbuk

Springbuk is a premier data and analytics partner for health benefits and point solutions. Our team’s mission is to guide every healthcare decision with data. Since 2015, we’ve helped organizations unlock data-driven insights to strengthen their health investments, personalize condition management, and drive ROI-backed wellbeing strategies. By combining advanced data science with clinical expertise, Springbuk equips employers and their advisors with the clarity and confidence to take action – before costs rise or opportunities are missed. With Springbuk, it’s more than health benefits data. It’s direction. Learn more at springbuk.com.

Originally announced September 10, 2025



< + > Strive Health Raises $550 Million in Series D Funding

The Value-Based Kidney Care Company Currently Manages Nearly $5 Billion of Annual Medical Spend, and this Funding Allows it to Further Scale its Business to Support More Patients and Providers

Strive Health, the national leader in value-based kidney care, raised $300 million in a Series D equity round and secured $250 million in debt financing for a combined $550 million capital raise. New Enterprise Associates (NEA) led the equity funding, and additional investments were received from CVS Health Ventures, CapitalG, Echo Health Ventures, Town Hall Ventures, and Redpoint, alongside several new institutional investors, including funds and accounts managed by affiliates of BlackRock, Inc.. Hercules Capital led the debt financing.

Over 35 million Americans have kidney disease; however, 90% of people are unaware of their underlying condition until it progresses to the point when dialysis or a transplant is necessary. Strive’s value-based care approach to kidney disease emphasizes early intervention and preventative care and has demonstrated the ability to deliver meaningful impacts, including a 20% reduction in the total cost of kidney care and a 41% reduction in hospitalizations, while achieving 94% overall patient satisfaction.

With this funding, Strive and its team of over 700 employees — aka “Strivers” — will strengthen end-to-end strategic partnerships, grow its multi-specialty services, and enhance its value-based care model through advanced technology, including AI-driven tools and analytics, as it works to continue delivering tailored kidney care solutions.

“When we founded Strive in 2018, the team set out to transform kidney care,” said Chris Riopelle, Co-Founder and CEO at Strive. “The continued investments from NEA, Strive’s founding capital partner, alongside a syndicate of leading financial institutions, combined with valued tech and healthcare strategics, is a clear signal that the Strive team is delivering on that mission. By transforming kidney care, we will ultimately make the healthcare system work better for patients and providers.”

Since its founding, Strive has conducted over 1.3 million patient touchpoints and generated more than $400 million in savings for its health plan and provider partners. Strive currently partners with more than 6,500 providers across all 50 states and manages nearly $5 billion of annual medical spend for over 145,000 people. Over the past few years, Strive has launched or expanded relationships with many leading payors, health systems, and provider partners. Strive’s standard of excellence for its partners and patients is achieved through high-touch, preventative care and AI solutions that generate reductions in total cost of care and improved clinical outcomes.

“We recognize that clinician-led healthcare solutions with meaningful scale are where AI implementations will have the most impact when it comes to improving outcomes for chronic disease management and preventive care — but those companies also happen to be exceedingly rare,” said Mohamad Makhzoumi, Co-CEO at NEA. “NEA remains a proud supporter of Strive’s mission of deploying its innovative care model to slow the progression of kidney disease and we are excited at the potential for Strive’s impact to grow exponentially with this more than half a billion-dollar capital raise.”

About Strive Health

Strive Health is the nation’s leader in value-based kidney care and partner of choice for innovative healthcare payors and providers. Using a unique combination of AI technology, care interventions, and seamless integration with local providers, Strive forms an integrated care delivery system that supports the entire patient journey from chronic kidney disease (CKD) to end-stage kidney disease (ESKD). To help patients, Strive partners with commercial and Medicare Advantage payors, Medicare, health systems, and physicians through flexible value-based payment arrangements, including risk-based programs. Strive serves over 145,000 people with CKD and ESKD across 50 states and partners with over 6,500 providers. Strive’s case management and population health programs are accredited by the National Committee for Quality Assurance (NCQA), and its technology platform, CareMultiplier, is certified by HITRUST. To learn more, visit strivehealth.com.

Originally announced September 9th, 2025



Sunday, October 12, 2025

< + > Bonus Features – October 12, 2025 – 29% of healthcare employees feel pressure to adopt AI, 72% of orgs hit with cyberattacks face patient care disruptions, plus 25 more stories

Welcome to the weekly edition of Healthcare IT Today Bonus Features. This article will be a weekly roundup of interesting stories, product announcements, new hires, partnerships, research studies, awards, sales, and more. Because there’s so much happening out there in healthcare IT we aren’t able to cover in our full articles, we still want to make sure you’re informed of all the latest news, announcements, and stories happening to help you better do your job.

Studies

Partnerships

Products

Implementations

Company News

If you have news that you’d like us to consider for a future edition of Healthcare IT Today Bonus Features, please submit them on this page. Please include any relevant links and let us know if news is under embargo. Note that submissions received after the close of business on Thursday may not be included in Bonus Features until the following week.



Saturday, October 11, 2025

< + > Weekly Roundup – October 11, 2025

Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives you a chance to catch up on anything you may have missed during the week.

Oracle Wants to Be Healthcare’s Partner; Will the Industry Let It? Colin Hung interviewed Seema Verma at the 2025 Oracle Health and Life Sciences Summit. The Oracle Health EVP and GM said Oracle sees its open ecosystem as a competitive advantage. Verma also said real improvement in healthcare depends on tying ERP, HR, and supply chain tools to the EHR. Read more…

How a Community Hospital Benefits From a Consolidated EHR. Kim Landers at Illinois-based Morris Hospital and Healthcare Centers talked to John Lynn about the benefits of unifying ambulatory and inpatient EHRs, particularly in support of population health and SDoH efforts. Read more…

The Pearl, the Pitch, and the Panels: A HLTH 2025 Preview. Check out this preview of the upcoming HLTH USA conference happening just over a week from now in Las Vegas.  Let us know what you’re most looking forward to at the HLTH conference this year. Read more…

AI Scribes Are More Than Time Saved; Mental Space Is Also a Benefit. Colin chatted with Dr. Scott Eshowsky at Beacon Health System about reducing clinician’s cognitive load thanks to AI agents – especially when they’re integrated with the EHR. Read more…

The Future of Data Sharing. We had the Healthcare IT Today community gaze into a crystal ball. Seamless data sharing at scale and better infrastructure are in the future, many of you said – but only if the industry moves away from obsolete protocols. Read more…

Data-Sharing Strategies Everyone Should be Adopting. Real-time data utilization, adoption of interoperability standards, and alignment with real-world needs are just some of the suggestions from the Healthcare IT Today community. Read more…

Proactively Addressing Common Cybersecurity Threats. We also asked for input on this all-important topic. Healthcare IT Today readers recommended focusing on the supply chain, reducing complexity, addressing legacy apps and devices, and emphasizing penetration testing. Read more… 

Building an Automated Scribe for Physical Therapy From the Ground Up. John connected with Christina Rama at Fownd, which created an ambient voice recording system to document evaluations, assessments, and plans for physical therapy and its unique visits types, workflows, and terminology. Read more…

Life Sciences Today Podcast: Making Drug Development More Efficient. Danny Lieberman sat down with Rajesh Krishna at Certara, which is using modeling, simulation, and AI to help drugmakers companies design better trials, predict outcomes, and reduce risk. Read more…

An Expert’s Guide to Designing a National Provider Directory. Scott Williams and David Hoffert at Epic wrote the provider directory concept paper the company shared with CMS. The paper emphasized that a directory needs the right data structures, the right contributors, and the right processes. Read more…

How to Build a Cohesive Patient Experience. Healthcare’s myriad physical and digital touchpoints, along with the need to balance security, patient trust, and ease of use, can make a seamless experience tricky. Minimizing onboarding, adopting MFA, and enabling access control should help, said Rishi Bhargava at Descope. Read more…

Modern Risk Adjustment: Building a Framework for Resilience and Precision. Collaboration, automation, data normalization, and partnership are critical for accurate risk adjustment in an increasingly complex regulatory environment, according to Katie Sender at Cotiviti. Read more…

The Key to Making Agentic AI Work. AI can only make recommendations based on the information it has, noted Tomas Gorny at Nextiva. That’s why some organizations are turning to Unified Patient Experience Management platforms to aggregate and update records in real time. Read more…

Bridging the Health IT Skills Gap With Affordable, Scalable Online Learning. Dani Foust at Pluralsight described how subscription-based online learning meets healthcare tech workers where they are, which is critical as they juggle project deadlines, on-call responsibilities, and unpredictable job demands. Read more…

Using Generative AI to Transform Behavioral Health. Demand for autism therapy is surging far beyond current capacity. Ryan Cox at Acclaim Autism explained how the provider modernized IT infrastructure to improve workflow processes, augment patient care, and reduce staff burnout. Read more…

Why Patients Call Instead of Using Your $2M Healthcare Portal. This is a fascinating look at the patient portal and why so many patients don’t use the portal and hit your call center instead.  Check out their practical tips for making the portal experience better so patients actually use it.  Read more…

This Week’s Health IT Jobs for October 8, 2025: Roles in privacy analysis, cybersecurity, and financial services. Read more…

Bonus Features for October 5, 2025: 85% of healthcare professionals use their EHR during “pajama time;” meanwhile, 55% of virtual care leaders say improving patient engagement is their top priority. Read more…

Funding and M&A Activity:

Thanks for reading and be sure to check out our latest Healthcare IT Today Weekly Roundups.



Friday, October 10, 2025

< + > The Pearl, the Pitch, and the Panels: A HLTH 2025 Preview

It’s easy to dismiss the annual HLTH conference as nothing more than a spectacle. Yes, the branding and production value are unmatched, but the content and programming have real weight too. From interoperability stages to interesting panels to hosted buyer meetings at scale, HLTH has always been about more than flash

At HLTH2025, I expect AI to once again dominate the discussion. Over 20 sessions have “AI” in the title. But I expect the conversations to be focused more on the practical implementation of AI rather than on the hype of AI.

My secret hope is that the workforce shortage and access crisis get more attention, because that is something Health IT will have to help address in the years ahead.

Here is what else I’m looking forward to at HLTH 2025.

There’s no shortage of sessions I’m eager to attend:

As always, I’ll be making time for the HLTH exhibit hall – an eclectic mix of software, devices, and services that shows just how crowded the field for provider, payer, and pharma mindshare has become. I’m excited to see the Patient Lounge (with Savvy Coop), the artwork, the Puppy Park, and the different booth designs.

HLTH is still a spectacle, but it’s also where important conversations take place.

What are you looking forward to in Las Vegas this year?



< + > Drug Development with Certara – Life Sciences Today Podcast Episode 30

We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Rajesh Krishna, Senior Distinguished Scientist at Certara and a recognized leader in drug development. With 25+ years of experience, he’s shaped model-informed strategies for biologics, vaccines, and small molecules, and is consistently ranked among the top 2% of influential scientists.

Drug development is too slow and expensive. Certara helps companies design better trials, predict outcomes, and reduce risk using modeling, simulation, and AI. The goal is straightforward: make it faster and more efficient to bring safe and effective drugs to patients.

Check out the main topics of discussion for this episode of the Life Sciences Today podcast:

  • Tell me about your journey.
  • Tell me about Certara.
  • Who are your customers?
  • How do you create value?
  • How do you capture value from customers?
  • What are 3 things you want to do for your customers in the next 12-18 months?

Now, without further ado, we’re excited to share with you the next episode of the Life Sciences Today podcast.

 

Be sure to subscribe to the Life Sciences Today Podcast on your favorite podcasting platform:

Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube.  Plus, all of the audio and video versions will be made available to stream on Healthcare IT Today. As a former pharma-tech founder who bootstrapped to exit, I now help TechBio and digital health CEOs grow revenue—by solving the tech, team, and go-to-market problems that stall your progress. If you want a warrior by your side, connect with me on LinkedIn.

If you work in Life Sciences IT, we’d love to hear where you agree and/or disagree with our takes on health IT innovation in life sciences. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes.

Thanks so much for listening!



< + > Why Patients Call Instead of Using Your $2M Healthcare Portal

The following is a guest article by Rishi Bhargava, Co-Founder at Descope

It’s never been more important for healthcare organizations to provide an exceptional patient experience, and adopting better methods for authentication and identity management is a crucial piece of that puzzle. Patients today have more choices than ever: They want providers that make getting care easy and streamlined, and they won’t hesitate to switch institutions if they repeatedly encounter barriers on their healthcare journey.

According to a recent survey from Deloitte, people’s “interactions with the retail and finance sectors are raising their expectations for health systems and doctors.” Healthcare organizations have taken notice of these changing expectations, and that same study found that 72 percent of health system executives listed “improve consumer experience, engagement, and trust” as a priority for 2025.

The gold standard looks something like this: A patient uses their provider’s app to schedule an appointment. They check in at their local clinic’s kiosk using facial recognition or a QR code, and go to a diagnostic lab at a different location for additional testing. They later access their test results from their laptop—all without the need to create separate accounts or remember multiple passwords. Seamless, secure experiences like this are critical for patient retention and satisfaction.

But building a cohesive experience is incredibly complex since healthcare involves so many different touchpoints, both digital and physical. Patients book appointments via an online portal, a mobile app, or by phone; they visit different physical locations associated with their provider, ranging from clinics to hospitals to pharmacies, and they may also receive care remotely, whether over the phone or through video conferencing platforms.

This presents a significant challenge for developers, who are tasked with balancing security, patient trust, and ease of use. Healthcare data is—and always will be—a prime target for cybercriminals, but patients still need to quickly and easily access their accounts across every channel. Whether they’ve built authentication on their own or rely on a legacy provider, it’s not enough to simply apply workforce-grade identity management solutions to patient experiences and hope for the best.

Here’s how developers can support a frictionless, secure, and omnichannel patient experience:

Minimize Onboarding and Login Complexity

Some degree of “paperwork” and identity verification will always be necessary in healthcare due to legal and regulatory requirements. But that doesn’t mean the rest of the onboarding and login process has to be complicated. Developers can implement tools that eliminate the need for passwords—like passkeys and magic links—to make setting up and logging on to patient portals fast and secure.

Progressive profiling is another effective way to reduce the onboarding complexity that causes patient frustration. Instead of front-loading information collection, progressive profiling allows patients to provide only the information necessary for their immediate treatment needs and per regulatory requirements. Something as simple as asking the right questions at the right time goes a long way in minimizing friction.

Create a Unified Omnichannel Experience

Developers need to build a unified omnichannel experience spanning both digital and in-person touchpoints. Whether a patient is signing into their portal via web or mobile, they should be able to use the same login credentials. This should apply to any clinic, lab, or other entity associated with their provider. This also has the added benefit of giving healthcare organizations deeper visibility into the patient journey so they can offer a higher level of care.

Secure and seamless authentication methods are important for the call center as well. Asking patients to verify their identity by stating their name, date of birth, and address isn’t enough since these details can easily be stolen by scammers online. Instead, developers can create authentication pathways that let patients verify their identity by reciting a code sent to their email, or clicking a link sent via SMS, while they’re on the phone with healthcare representatives. Patients should be able to verify their identity just as easily in person by scanning a QR code or authenticating via a mobile app linked to their account.

Adopt a Robust Multi-Factor Authentication (MFA) Strategy

Not all MFA is created equally. Given the extremely sensitive nature of healthcare data, phishing-resistant adaptive MFA is a critical part of healthcare organizations’ identity and access management (IAM) strategy. MFA methods like SMS OTP aren’t robust enough for healthcare, as they’re prone to phishing. The aforementioned passkeys and magic links are much more effective at upholding security without adding unnecessary barriers for users.

MFA is an extra step by design, but that doesn’t mean it needs to add unnecessary friction to the patient experience. Developers shouldn’t require MFA every time—only when it’s warranted. This can be determined through a risk score or an anomalous signal, like when patients try to access their account from a new device.

Enable Fine-Grained Access Control

Developers need to get granular when it comes to access control for patient portals. In many instances, people aside from the primary patient need the ability to access that patient’s account. For example, parents need access to their children’s accounts to make appointments, and spouses may need access to each other’s accounts to participate in their care. Fine-grained access control supports a more holistic patient experience while ensuring sensitive health information is only seen by the right eyes.

Streamlined healthcare experiences aren’t just nice to have—they’re an integral part of keeping patients happy and healthy. Building a cohesive, frictionless experience is easier said than done, but by adopting the strategies above, developers can turn even the most complex patient journey into an easy and secure experience.

About Rishi Bhargava

Rishi Bhargava is a Co-Founder at Descope, a drag & drop external IAM platform. In a career spanning over 20 years, Rishi has run product, strategy, go-to-market, and engineering for category-creating cybersecurity startups and large enterprises. Before Descope, Rishi served as VP of Product Strategy at Palo Alto Networks, which he joined via the acquisition of Demisto. Rishi was a Co-Founder at Demisto, where, under his stewardship, the company created and later led a new “security orchestration” category within 3 years before being acquired. Prior to Demisto, Rishi was VP and GM of the Datacenter Group at Intel Security and launched multiple products at McAfee (acquired by Intel).



< + > Ascend Learning Acquires Laudio to Accelerate Innovation in Frontline Healthcare Leadership

Acquisition Further Expands Ascend’s Tech-Enabled Workforce Management Offerings

Ascend Learning, a leading healthcare and learning technology company, today announced the acquisition of Laudio, an innovator in frontline leader solutions that drive efficiency and engagement for health systems. Laudio will enhance Ascend’s suite of workforce management tools and further extend Ascend’s support of the healthcare workforce beyond the classroom, from student to practice.

Health system frontline leaders today face mounting pressures, often managing teams of 50 or more while struggling with administrative burdens that limit meaningful engagement. To support retention, engagement, and performance, they need streamlined, AI-enhanced workflows, integrated employee data, and actionable insights. Laudio delivers these capabilities through a unified leader operations platform, enabling managers to recognize, support, and connect with their teams more efficiently and effectively.

“Exceptional healthcare teams need both effective leadership and skilled professionals,” said Lissy Hu, MD, CEO at Ascend Learning. “By uniting Laudio’s expertise in amplifying leaders with Ascend’s know-how in the education and laddering of healthcare workers, together we can deliver a powerful and comprehensive workforce solution.”

Since its founding in 2017, Laudio has grown rapidly to serve thousands of leaders managing more than 300,000 frontline staff. The platform unifies key workforce management functions such as employee rounding, recognition, professional development, and attendance management into connected workflows, including providing AI-driven recommendations for timely, personalized engagement.

“Addressing the needs of the healthcare workforce has always been at the forefront of Laudio’s mission, so partnering with a company like Ascend that shares that mission is a natural fit,” said Russ Richmond, MD, Co-Founder and CEO at Laudio. “Joining Ascend puts Laudio in position to further empower frontline leaders to simplify their work and get them back to the human interactions that matter most.”

The acquisition of Laudio marks another milestone in a year of strong growth for Ascend Learning, further expanding its healthcare workforce solutions. This year alone, Ascend has acquired myTIPreport, a platform modernizing medical education feedback and competency training, and Clover Learning, a pioneer in diagnostic imaging education.

About Ascend Learning

Ascend Learning is a leading healthcare and learning technology company. With products that span the learning continuum, Ascend focuses on high-growth careers in a range of industries, with a special focus on healthcare and other licensure-driven occupations. Ascend Learning products, from testing to certification, are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals, and insurance brokers.

Learn more at ascendlearning.com.

About Laudio

Laudio empowers healthcare leaders to drive large-scale change through everyday human actions. Laudio’s AI-enhanced platform streamlines workflows for frontline leaders, strengthens interpersonal connections, and aligns C-suite objectives with frontline efforts, boosting operational efficiency, employee engagement, and patient experience. Laudio makes it possible for patients, frontline workers, and health system leaders to thrive together. Discover how at laudio.com.

Originally announced September 9th, 2025



Thursday, October 9, 2025

< + > Modern Risk Adjustment: Building a Framework for Resilience and Precision

The following is a guest article by Katie Sender, MSN, RN, PHN, CRC, Vice President, Clinical and Coding Solutions, Cotiviti

Today, healthcare companies face rising costs, technology gaps, and new and evolving mandates and standards. Success depends on learning from the past while proactively shaping the future. With the shift to value-based care accelerating, risk adjustment has grown more complex as a result of stricter regulations, deeper audits, and declining reimbursements. For health plans, achieving accurate risk adjustment outcomes is no longer a back-office function but a strategic imperative that drives compliance, financial stability, and competitive advantage.

Here are five key strategies to help health plans build resilient, compliant, and financially sustainable risk adjustment programs.

1. The Regulatory Imperative: Accuracy is Critical

The risk adjustment environment has been fundamentally reshaped by major policy and audit changes that demand precision and proactivity. Medicare Advantage (MA) plans now face unprecedented scrutiny, where documentation accuracy and operational efficiency are critical to financial sustainability.

The Centers for Medicare & Medicaid Services (CMS) is expanding audits from roughly 60 plans a year to all 550 MA contracts while increasing the number of medical records reviewed per plan, from 35 to as many as 200, to improve the reliability of audit findings. The Office of the Inspector General’s recent findings of overpayments, including an estimated $7.5 billion from Health Risk Assessments (HRAs) and $377 million from other audits, underscore regulators’ intent to re-evaluate the entire model. These trends require plans to move from a retrospective “chase” approach to an integrated, proactive strategy.

2. Payer-Provider Collaboration: The Foundation of Accuracy

The most effective way to mitigate risk is by evolving the payer/provider relationship from transactional to strategic. Retrospective data exchange alone is no longer sufficient. A new framework built on aligned incentives, shared goals, and streamlined communication is essential for both financial performance and improved patient outcomes.

Accurate documentation is the starting point. Health plans can support providers with tools that make documentation easier and communication more efficient, reducing administrative burden and improving data accessibility.

To operationalize this model, health plans should combine financial incentives, actionable data, and consistent education. Leading plans are investing in dashboards, feedback loops and targeted education and ongoing training on coding changes.

By providing resources, education, and insights, health plans can become extensions of the provider care team, which creates a partnership that improves both member outcomes and more accurate risk adjustment for the plan.

3. Proactive Auditing and Data Normalization: Building an Operational Bedrock

With heightened regulatory scrutiny, health plans need a foundation of data integrity and audit-readiness. Auditing should shift from a periodic event to a continuous, proactive process.

Internal audits are now essential for identifying documentation gaps and coding discrepancies before CMS does. A proactive overpayment recovery strategy not only reduces financial risk but also demonstrates a commitment to compliance, strengthening standing with regulators and mitigating the risk of larger penalties in the future.

The majority of patients utilize their primary care provider’s portal—but they often have additional portals spanning other providers, pharmacies, and insurers. In 2024, 59% of patients reported having multiple portal accounts. Therefore, data normalization is equally critical. Standardizing documentation and data enrichment processes ensure that data is correct, reliable, and actionable to drive stronger risk adjustment outcomes and better partnerships with their provider network. Further, data normalization is a foundational step for any analytics or artificial intelligence (AI) initiative.

4. The Strategic Integration of AI and Human Expertise

Applying AI to risk adjustment programs requires a nuanced, expert-level approach. AI is not a magic bullet or a replacement for human expertise, but used responsibly and with strong governance and ethical oversight, it can significantly improve efficiency, accuracy, and compliance.

AI and natural language processing (NLP) can uncover missed diagnoses, prioritize high-risk charts, and identify mismatched records. However, limitations remain, such as difficulty with handwritten notes or interpreting negative language. As CMS has made clear, these tools must be auditable, transparent, and compliant. The ultimate responsibility for clinical and coding decisions rests with human experts, as AI is susceptible to bias from the data on which it is trained. If a plan’s AI is biased towards over-reporting conditions in certain demographics or care settings, it could lead to both regulatory fines and ethical dilemmas.

Effective implementation begins with education and clear use cases. Multidisciplinary teams of experts should define test tools in a “sandbox” environment and use a scorecard to measure performance. Red flags, such as coders over-relying on AI suggestions, must be addressed to ensure that technology complements, rather than replaces, sound clinical decision-making.

5. Building a Partnership-Driven Ecosystem: Creating Sustainable Success

To ensure long-term sustainability, health plans must deploy a forward-looking strategy built on interoperability, trust, and transparency. A resilient program is not just technologically advanced but operationally sound and partnership-driven.

Interoperability initiatives such as the Trusted Exchange Framework and Common Agreement (TEFCA) and CMS’s Interoperability and Prior Authorization Final Rule create strong incentives for modern data exchange. The Fast Healthcare Interoperability Resources (FHIR) standard enables real-time access to diagnoses, labs, and encounters, reducing reliance on retrospective chart reviews and supporting ongoing audit-readiness and quality improvement.

Risk adjustment and quality programs are often siloed despite sharing a common data source: the medical record. Interoperability standards like FHIR and TEFCA can eliminate redundant chart reviews, close gaps for both risk and quality, and provide a holistic, unified view of the member to the provider. This alignment improves operational efficiency, strengthens financial incentives, and ultimately leads to better member outcomes.

The shift to value-based care has elevated risk adjustment into a critical business function. With stricter regulatory oversight and financial risk, reactive approaches are no longer sustainable. Success requires true payer/provider partnerships, normalized and interoperable data, and AI-augmented workflows grounded in human expertise.

Health plans that build resilient, partnership-driven ecosystems will be best positioned to remain compliant, financially stable, and prepared for the future.

About Katie Sender, MSN, RN, PHN, CRC

With over 25 years of healthcare experience, Katie Sender is responsible for leadership and management oversight of teams spanning the globe to ensure optimal client outcomes and service delivery through Cotiviti’s Clinical and Coding solutions.



< + > Cohere Health Brings Pre-Care Insights and Clinical AI to Health Plan Payment Integrity

Acquisition of ZignaAI Accelerates Cohere’s Strategic Clinical Intelligence ‘Shift Right,’ Bringing Proven Capabilities from Prior Authorization into Payment Integrity to Drive Precise AI-Driven Claims Payments

Cohere Health, the leader in clinical intelligence solutions, announced the acquisition of ZignaAI and the launch of its new Payment Integrity (PI) Suite, anchored by Cohere Validate, an AI-powered near real-time clinical and coding validation solution. Cohere Health’s unique approach provides newfound transparency, accuracy, and control to claims payments through the power of clinical intelligence. The payments solution is already delivering faster payments, 30% efficiency gains, and 8-9x ROI to health plans.

This launch marks a milestone for the company’s clinical intelligence platform, which connects health plan and provider interactions, bridging the gap between utilization management (UM) and payments to optimize the cost of care. By unifying pre-service authorization data and post-service claims and coding validation, Cohere Health is creating a transparent ecosystem that reduces waste, improves collaboration, and ensures providers are paid promptly and accurately.

“We’re thrilled to welcome the ZignaAI team to Cohere Health and to launch our Payment Integrity Suite,” said Siva Namasivayam, Co-Founder and CEO at Cohere Health. “The ‘shift right’ is a natural evolution of our clinical intelligence platform, allowing us to bring the same precision AI approach that drove our success in UM: real-time approvals; appropriate, high-quality care for patients; and reduced administrative burden for both payers and providers. Our platform bridges the gap between care planning and payments for better healthcare economics, payer-provider partnerships, and patient outcomes.”

Addressing Longstanding Payment Integrity Challenges

Payment integrity has long been dominated by legacy vendors operating on contingency-based models. While these vendors can deliver savings, their “black box” algorithms lack transparency and provider education opportunities, and retroactive denials often strain payer-provider relationships and prevent health plans from continuously improving their payment policies and processes.

Cohere Health’s PI Suite addresses these issues by shifting post-payment reviews upstream and improving collaboration. Connecting UM and PI data allows health plans to catch errors before claims are paid, reducing both financial waste and provider friction. Providers benefit from faster payments and improved transparency, while plans gain clearer insights into root causes of billing and coding errors, enabling proactive fixes and education, rather than repeated disputes.

Cohere Validate at the Center of Cohere Health’s PI Suite

Cohere Validate modernizes complex claims reviews across inpatient, outpatient, and professional programs by enabling health plans to bring high-value reviews in-house. “Our precision AI is trained on reimbursement policies, codes, and clinical data for faster, more accurate validation with clear audit rationale,” added Krishna Kottapalli, Chief Growth Officer at Cohere Health. “We’re helping health plans move away from legacy models–reducing dependency on stacked audit vendors and replacing them with transparent, evidence-based, and automated in-house processes.”

The new PI Suite includes Cohere Validate and two complementary offerings:

  • Cohere Validate: The in-house AI-driven audit solution for clinical and coding validation covers inpatient, outpatient, and professional programs; it automates clinical and coding validation with a cohesive workflow, leverages proprietary reimbursement-grade extraction for medical record processing, provides evidence-backed outputs, and improves efficiency while strengthening payer-provider trust
  • Cohere Match: A proprietary claims-to-authorization reconciliation offering that uses pre-care authorizations to identify mismatches before payment, preventing overpayments and reducing provider abrasion through accurate, proactive adjudication
  • Cohere Complete for Payment Integrity (PI): A modernized, AI-powered alternative to legacy outsourced audit vendors, with end-to-end audit management services for transparent findings and Cohere Health’s industry-leading delivery model

The PI Suite offers health plans flexibility in choosing how to manage payment accuracy, whether by insourcing complex audits with AI-driven tools or delegating the work to Cohere Health’s managed services, all in one platform.

ZignaAI’s Role in Cohere Health’s Expansion

Founded in 2020, ZignaAI specializes in AI-driven payment integrity and revenue optimization solutions. Its flagship technology combines natural language processing and machine learning with clinical insights to automate coding and clinical validation for health plans.

“ZignaAI’s mission has always been to make payment integrity reviews smarter and more effective through the combination of advanced AI and coding and clinical expertise,” said Lalithya Yerramilli, SVP of payment solutions for Cohere Health and Founder of ZignaAI. “We were strongly aligned with Cohere Health’s vision and values. By integrating our technology into Cohere Health’s platform, we can better help health plans move beyond black-box reviews and toward more accurate, transparent, and faster processes that benefit providers.”

For more information, visit coherehealth.com/payment-integrity.

About Cohere Health

Cohere Health‘s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its AI auto-approves up to 90% of requests for millions of health plan members. The company has been recognized on the 2025 Inc. 5000 list and in the Gartner Hype Cycle for U.S. Healthcare Payers (2022-2025), and is a Top 5 LinkedIn Startup for 2023 & 2024.

Originally announced September 9th, 2025



Wednesday, October 8, 2025

< + > A Rural Hospital Embedded in the Community Benefits from a Consolidated EHR

Morris Hospital and Healthcare Centers is quite small: an independent, rural system of clinics including an 89-bed hospital. Yet the system is the largest employer in Morris, IL. In this interview, Kim Landers, their Vice President of Patient Care and Chief Nurse Executive, explains how they remain relevant and solvent, and the aid provided by moving to the MEDITECH Expanse online platform.

Landers says that surveys have shown nursing to be “the most trusted but least engaged profession.” After losing 40% of their hospital staff during the early COVID-19 period to less dangerous settings, Morris turned its team around, winning awards in nurse engagement in 2023 and 2024. The system kept its nursing leadership intact during that period as well.

While always having used MEDITECH as their EHR, Morris went online with Expanse in 2023. This move brought together all departments, which had previously used four different platforms. The unification of records was especially important in pulling together the ambulatory and in-patient settings.

Their success in rebuilding their staff lies in maintaining a positive work environment (a “family atmosphere,” according to Landers), because they can’t pay as much as some larger institutions.

Community involvement has been critical. They offer abatements, have a “huge” transportation program, and offer a lot of specialized services at a local YMCA. They have an ACO and deal with population health.

Morris is testing some AI applications, particularly ambient listening for nursing.

Landers is also involved in bigger initiatives. Morris joined the KLAS Arch Collaborative program, which runs surveys and, benchmarking. She helped start a “digital transformation committee” in 2022 at the American Organization of Nurse Leaders, where she represents rural providers. The organization published six “guiding principles” (such as “use the data”—don’t just depend on stories) in the February 2024 Nurse Leader journal.

Watch the video for more details about managing a successful, small rural hospital.

Learn more about Morris Hospital: https://www.morrishospital.org/

Learn more about MEDITECH: https://ehr.meditech.com/

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< + > An Expert’s Guide to Designing a National Provider Directory

The following is a guest article by Scott Williams, Director of Provider Directory Research & Development at Epic, and David Hoffert, Director of Provider Directory Public Policy at Epic

Every day in America, sick patients are sent to medical providers who no longer practice where the patients were told to go. Private medical records are sometimes faxed to places as inappropriate as auto repair shops. Insurers, working to prevent fraud, inadvertently deny legitimate claims and care authorizations simply because they haven’t been notified of a provider’s new location. These breakdowns delay necessary care, increase stress on families, drive up waste, and open the government up to fraud.

All these things happen because the United States lacks a single, reliable source of truth for the most basic information about physicians, such as their practice location, contact information, and specialty. Without this source of truth, patients and insurers are left playing a real-life game of “Where’s Waldo” as they try to locate physicians. And some hospitals are even paying staff to read obituaries so that they don’t send discharged patients to deceased specialists.

On June 3, Dr. Mehmet Oz, the Centers for Medicare and Medicaid Services (CMS) Administrator, at a meeting with health technology stakeholders in Washington, DC, announced that CMS plans to help fix these problems by building a national healthcare directory, starting with provider information. He has laudably identified the lack of a well-functioning national provider directory as one of the problems that creates waste, inefficiency, and opportunities for fraud throughout the healthcare ecosystem.

As the nationwide leader in healthcare interoperability, Epic is working to address the technical complexities of building provider directories. This is a problem that neither the government, providers, payers, nor technology developers can solve on their own. Epic’s R&D team put together a provider directory concept paper for the consideration of CMS and the broader stakeholder community.

The following is the full concept paper Epic sent to CMS. We would welcome feedback; please send your thoughts to Scott Williams (scwillia@epic.com) and David Hoffert (dhoffert@epic.com).

1. Introduction

This paper reviews current problems and their causes for provider directories and the lessons learned from previous efforts to unify such directories. Further, it identifies key components for consideration when building a National Provider Directory and a detailed action plan to follow.

2. Current State

A. Health Ecosystem Problems

The U.S. healthcare system lacks a single, trusted directory for even the most basic provider and organization information, such as who practices where, what services they offer, where they’re “in network,” and where to find Fast Healthcare Interoperability Resource (FHIR) endpoints. Existing databases have been stretched far beyond their original purposes, yet none offer the real-time, API-based reliability—or even basic data correctness—that the digital health ecosystem demands.

Without a national, authoritative, API-integrated directory, billions of dollars are wasted on administrative burdens, health IT innovations stall, and healthcare quality is harmed. Patient care is delayed when referrals are faxed to inappropriate places, such as auto repair shops, or sent to providers who have retired or moved practice locations. Even when sent to the correct location, faxing referrals is slower and more error-prone than electronic transmissions would be. Care can also be delayed when insurers, working in good faith to prevent fraud, deny or delay legitimate prior authorizations because they haven’t been notified of a provider’s new location.

Recent analyses have estimated that provider organizations spend nearly $2.8 billion per year on directory maintenance while payer organizations spend an additional $2.1 billion to $2.3 billion. Because many current databases must be updated manually, the process is time-consuming and therefore costly. Those costs are multiplied each time another database is enlisted to collect directory information. Establishing a proper National Provider Directory (NPD) would likely not only reduce abrasion in the system and improve quality outcomes but also save money.

B. Underlying Causes

These problems arise for a very simple reason: much of the data in today’s provider directories is incorrect, for many different reasons. Some of the data was correct when it was first submitted, but then became out of date when it was not updated as things changed. Other data was always incorrect because the person responsible for submitting it didn’t know the correct answer and didn’t have an easy way to determine it, so it was faster and easier for them to make their best guess. Still, other data is correct but incomplete, rendering it useless.

The fact that there are multiple competing directories is also a problem in and of itself. Without a centralized provider directory, payers, provider organizations, and HIEs must maintain their own siloed copies of national or regional external provider directory information, often gathered by “portalitis” workflows or emails across organizations. Federal databases contain basic data but lack the richness needed for interoperability. Private-sector solutions are typically limited in scope, accessible only to their customers, and often provide only basic reference data without the depth needed for interoperability. Some prioritize interoperability but lack core reference details.

While there is no one cause of data incorrectness, each cause can be identified, and steps can be taken to prevent that cause in the new NPD. To successfully address the problems faced by current directories, NPD will need to get three things right: it will need to have the right data structure populated by the right contributors using the right processes. This paper explains and makes recommendations for each of these areas and then provides a detailed plan for building NPD from the ground up, with appropriate phases and intermediate milestones to ensure ongoing benefit.

3. Lessons Learned for Provider Directories

A. Right Data Structures

How the data in NPD is organized and stored will affect, independent of any other design choice, data completeness and correctness. Consider, for example, three options for storing provider address information in a directory:

Figure 1: Three possible architectures for storing provider address information

Prior to the late 2010s, Option 1 was used by the National Plan and Provider Enumeration System (NPPES), whose primary purpose is to manage National Provider Identifiers (NPI) under HIPAA, but which has expanded over the years to serve as one of the nation’s de facto provider directories. Option 1 works well so long as providers only ever work for one employer at a time; if a provider changes employers, the new address information can overwrite the old.

However, many providers work simultaneously for multiple employers, at different locations, and Option 1 is incapable of reflecting this reality. Around 2018, NPPES recognized this and moved to Option 2. While multiple addresses can now be stored, the information is not useful without being associated with specific organizations. If a provider wishes to make a referral to NPI 123456789 at Heartland Medical Center, they do not know which of the listed addresses should be used. By dividing concepts into multiple distinct FHIR resource types, only Option 3 properly captures the correct and complete information needed for referral and prior authorization workflows.

These and many other data modeling challenges have been considered and addressed by various FHIR working groups, and there is near-universal agreement that NPD should use FHIR resources to build the directory and FHIR APIs to communicate bidirectionally with other databases. FHIR uses resources to represent entities in the real world, such as providers, clinics, or insurance plans. These resources are independent, allowing each participant in the healthcare ecosystem to own and maintain the specific parts of the directory for which they are responsible.

FHIR implementation guides define which resources and APIs are needed to build and interact with a FHIR database. The most comprehensive implementation guide for U.S. provider directories uses nine key FHIR resources:

  1. Practitioner: Individual provider identity
  2. PractitionerRole: Contextual data – roles, locations, specialties
  3. Organization: Organizations and organizational hierarchy
  4. Location: Physical addresses and sites
  5. HealthcareService: Offered services and specialties
  6. Network: Health plan provider networks
  7. InsurancePlan: Health plan
  8. OrganizationAffiliation: Relationships between organizations (including interoperability networks in which they participate)
  9. Endpoint: Technical contacts for interoperability and APIs

However, this structure need not be built all at once. A subset of these resources can be used to build a simpler directory that answers a limited set of questions. Subsequently, complexity can be introduced with the addition of more resources. For example, we recommend building a comprehensive provider directory in four sequential phases:

Figure 2: Hierarchy of FHIR directories and their data elements

To save time and ensure alignment with the larger healthcare ecosystem, NPD should be built by implementing, or taking inspiration from, existing FHIR directory implementation guides. The HL7 FAST National Directory of Healthcare Providers & Services (FAST NDH) implementation guide is a good starting point because it uniquely meets the following criteria:

  1. Designed for the U.S.
  2. Supports providers, provider organizations, interoperability networks, and payer organizations
  3. Supports FHIR-based submission of directory data from primary sources
  4. Builds on top of the Da Vinci PDex Plan Net FHIR directory implementation guide (a payer-focused FHIR directory implementation guide that is endorsed by CMS as the recommended standard for its Provider Directory API requirement).

While the overall FAST NDH appears complex when presented in a single diagram, this is because it incorporates each phase of provider directory described above. However, it can be implemented iteratively, starting with a Provider-Location Directory first to achieve early successes with limited scope, and building to networks and payer integration in a later release.

Figure 3: FAST NDH resource diagram (simplified), divided into iterative parts

B. Right Contributors

In current directories, individual providers are expected to submit information about themselves, their organizations, and their IT systems manually via web portals. As a result, they are asked to submit data they often do not know and are not actively managing, because separate electronic systems, such as EHRs, are already managing it for them.

To support a modern healthcare technology ecosystem, workflows like electronic referrals, prior authorizations, and claims processing require not just provider details, but also foundational information about the health IT systems involved. For example, sending an electronic referral requires knowing how to reach the target system—something only possible through a directory that includes API endpoints, which cannot be maintained via provider self-entry in a portal.

Today, federal databases, health IT systems, HIEs, state licensure boards, and health plans often have copies of the same or similar data. NPD will need policy decisions about what its sources are and who is considered a primary source of what information. If two sources can submit the same data, the directory can end up with duplicate information, which would require a user to reconcile, as the following diagram indicates:

Figure 4: A payer and provider organization could have largely duplicative but inconsistent information about a provider

Historically, directories like NPPES or health plan portals have solved this problem by assigning the provider (or an organizational delegate) to be the source of truth for all their data. However, different entities in the healthcare ecosystem are natural sources of truth for different data elements, and FHIR’s modular data structure allows for different sources to own different parts of the provider directory. For example, a health plan could submit whether a provider is in-network at a specific location, but should not submit the provider’s scheduled hours.

The best contributor for a particular type of data will be the entity that is

  1. Reasonable, unique primary source of the data
  2. Already maintains the data and uses it in operations
  3. Motivated to have accurate data for the element(s) it submits.

Having the entity that already knows and maintains each piece of information be responsible for submitting it to the directory will make it easier to submit, which will, in turn, make it more likely to be submitted frequently and more likely to be correct. When inaccuracies are identified, they are easier to correct because the single source of truth is easier to identify and contact quickly. We recommend the following assignments for primary data sources in NPD.

Individual Providers

NPPES (or NPD itself if it fully replaces NPPES) should remain the source of truth for provider NPIs and core identity data about individual providers (e.g., name and demographic info). It should be scoped down to focus solely on such core identity information and continue to be updated by individual providers. This data will be used to populate the Practitioner resources in the directory.

To reduce provider “portalitis,” NPD should reduce the number of federal provider data portals instead of adding more. NPD must be built as an extension of NPPES, or fully replace it; ideally, it would also unify workflows like the Provider Enrollment, Chain, and Ownership System (PECOS)— intended for provider Medicare enrollment tracking—and DEA registration within a single portal.

Healthcare Organizations

Healthcare organizations should populate the PractitionerRole, Organization, Location, HealthcareService, Endpoint, and OrganizationAffiliation resources. These organizations already manage all this data as part of their health IT systems, and their correctness is required for daily operations. This gives them the greatest incentive to maintain accurate data on these data elements and puts them in the best position to submit that data to NPD.

Payer Organizations

Payers should also submit information for Organization resources—but only for those Organization resources representing payer organizations. Payers should also be responsible for populating InsurancePlan and Network resources and tying them to provider organization PractitionerRole resources. This would be better than CMS’s current requirement for insurance plans to offer standalone Provider Directory APIs, since it would provide a single place to look for all provider directory content and eliminate the need to maintain duplicative infrastructure.

Credentialing and Licensure

Other relevant information should always come from the most natural source of truth for that data. For example, the Practitioner resource in FAST NDH includes information—such as licensure, certifications, and sanctions—that should not be populated (or maintained) by NPPES. Instead:

  1. Certification information should be populated by the appropriate certifying boards
  2. Licensure and sanction information should come from state licensing boards and the National Practitioner Data Bank

The diagram below provides an example of how each healthcare entity can submit and maintain data relevant to their operations, maintaining a single source of truth for each piece of data.

Figure 5: Example of federated data ownership per FHIR resource; separation of concerns means different sources can attest to data without requiring reconciliation

C. Right Processes

Real-Time, Machine-Readable Data

There are two primary methods that could be used to populate NPD:

  1. Manual attestation via a web portal, optionally prepopulated by IT systems
  2. Automated submission via APIs (e.g., through existing interoperability networks)

Portal attestation is a time-consuming and error-prone process. Because it depends on manual intervention, updates often lag behind real-world changes, leading to outdated information unless providers are compelled to attest frequently. But increasing update frequency exacerbates the risk of human error (e.g., transposed digits or incorrect locations), creating a tradeoff between data freshness and reliability.

Health IT systems store almost all the information that is being submitted through these portals already. If these systems could connect to a national directory and submit data via APIs, the data could be submitted automatically, in real-time, with greater data richness, in a FHIR format that can be used to “axe the fax.”

While a manual option should remain available—especially for organizations without advanced health IT infrastructure—API-based submission should be the default. Machines don’t tire or make clerical mistakes, which significantly improves data quality.

Machine-based interoperability also enables key healthcare workflows (e.g., referrals or claims processing) by relying on rich, system-readable directories (e.g., FHIR-based). These workflows often depend on complex combinations of network, system, and endpoint data that are not feasible to maintain via manual entry on a national scale.

Integrating with Exchange Frameworks

A provider directory by itself is a reference tool: good for looking up information, but not for enabling electronic workflows like prior authorizations or referrals. To execute these complex workflows, users need confidence in things such as endpoints accurately representing providers, being current and secure, and being reachable.

For individual app developers to gain this confidence, they need to form relationships with every entity with which they wish to exchange. Rather than doing this one by one, joining a network can allow all parties to benefit from shared connectivity, common standards, and mutual trust agreements. Each app developer can build a single connection to a network instead of individual connections to every entity in that network, saving time and resources.

Networks provide:

  • A trust and governance framework to ensure appropriate use of PHI
  • Scalable connectivity between systems, including endpoints and how they are associated with real-world entities from the provider directory
  • Standards to define how data is formatted and transported

NPD alone cannot achieve goals like “axe the fax” and “kill the clipboard.” Real, scalable data exchange will happen within CMS Aligned Networks. These networks are where the directory becomes actionable, enabling the workflows that rely on trusted, secure, and interoperable data.

At the same time, NPD faces its own integration challenges. Like any app developer, NPD must determine how to gather data through APIs without needing to establish individual connections with every potential data source. Attempting to manage one-off integrations at scale would be resource-intensive and unsustainable. Additionally, this approach would reduce the benefit of participating in NPD for initial adopters, since there would be little useful data available at first. This would slow the uptake of NPD, creating a vicious cycle that could mean it never got off the ground.

A practical solution to both challenges is to designate a trusted subset of CMS Aligned Networks—those with a proven track record of maintaining high-quality directories—as authorized submitters to and readers from NPD. This allows NPD to receive robust, reliable data at scale while reinforcing the broader ecosystem of interoperable exchange and allowing CMS to delegate governance and connectivity. Due to the robustness and data quality of the Trusted Exchange Framework and Common Agreement (TEFCA) network, it would make sense for it or its Qualified Health Information Networks (QHINs) to serve as early adopter contributors to prove the concept.

Figure 6: Recommended approach for exchange framework integration

By integrating the provider directory into networks with strong governance, those networks can improve the quality of data in the directory in several ways. A core requirement is the ability to uniquely identify each legal entity submitting data and to restrict attestation rights accordingly. For example, if UW Health is listed in the directory, there must be a way to ensure that only UW Health can attest to or manage its data and delegate access appropriately. Without such safeguards, NPD risks becoming inconsistent, duplicative, and untrustworthy. Any providers in multiple contributing networks would need to select which network submits their directory data.

Governance is also essential for addressing NPD’s biggest challenge: data quality. Submitters must be accountable for the accuracy of their contributions. Organizations that submit incorrect data should face penalties and be required to make timely corrections. Conversely, those providing high-quality data should be recognized and rewarded. Some disputes, such as disagreements over shared clinic ownership, may require human resolution to prevent duplicate entries.

4. Building the NPD

In this section, we offer a recommendation for how NPD could be created in alignment with the previous section’s learned lessons. This is intended to be a starting point for ideas and discussion, not a final design.

Core Concept

NPD is a single database and website that shows who delivers care, where they deliver it, what they do, who’s in-network where, and how other systems can connect to them electronically. NPD is a federated FHIR directory, exchanging data with multiple CMS Aligned Networks to build a comprehensive, nationwide picture of the healthcare landscape. It draws data directly from primary sources (providers themselves, provider organizations, payers, apps), each contributing only the information they are best positioned to own.

It is designed to be:

  • Machine-readable as a FHIR server and a partial or forked implementation of the HL7 FAST NDH implementation guide
  • Human-accessible via a public-facing website and data management portal
  • Governed and secure, with clear ownership, access control, and audit trails
  • Iterative and extensible, starting simple and expanding over time
  • A singular public repository of FHIR endpoints with sufficient data richness to tie to a FHIR map of real-world healthcare entities

How It Works

NPD offers two submission paths:

  1. Submission Via Trusted Network: Any organization can use a CMS Aligned Network to submit their directory data to NPD, and keep it in sync with their operational database
  2. Web Portal: For organizations without API capabilities, a free CMS-hosted portal supports guided data entry and review, and delegated access for staff (using CMS’s Identity and Access Management [I&A] system)

NPD should have several ways to view the data:

  1. A public website for patients and providers to search and reference
  2. Open, read-only FHIR APIs
  3. Regularly posted flat files with deltas and full directories

Who Participates

Each entity submits and manages only the data that they are primary sources for, and corrections to incorrect data must be made in the primary source.

Provider Experience

A provider (or a delegate) signs into NPD using their I&A login. NPD allows them to view and edit all information associated with their Practitioner resource. The onboarding process walks them through a form populating and reviewing the data. They can edit their Practitioner resource, mark it as verified, and flag any incorrect information other sources have submitted about them.

Low-Tech Provider Organization Experience

An organizational delegate signs into NPD using their I&A login. NPD allows the user to view and edit all information associated with the organization’s data: Organizations, PractitionerRoles, Endpoints, OrganizationAffiliations, and Locations. The onboarding process walks the user through a form populating these fields, with an option to prepopulate the forms with a flat file or bulk FHIR file upload.

High-Tech Provider Organization Experience

An organization onboards to and connects through a CMS Aligned Network. As part of that network, the organization shares its directory data with the network. This information flows automatically into NPD without intervention. Networks must implement a way to process, route, and/or display poor-quality data flags. An organization can make a change to a provider’s status in an EHR or a network-connected app, and the change is propagated to the network and through to NPD.

Health Plan Experience

Payer organizations onboard to a CMS Aligned Network to provide live in-network status. Payers are responsible for sharing their plans and associating PractitionerRoles with in-network status in their plans. Payers own their Organization, Network, InsurancePlan, and Location resources.

Handling Locations

In FHIR directories, location represents physical location, like an address, not organizational facilities. Location resources should be hierarchical: suites should be under an address Location resource, the address should be under a city or county resource, and the county should be under a state resource. This can help determine coverage regions for payer networks.

Ideally, location data would be deduplicated, so it is easy for an API to look up all the organizations that share a facility, or all the organizations in a jurisdiction (e.g., city, county, state). It would also be advantageous to be able to match location data reported by two organizations.

This can be solved by having Location resources be managed via the US Postal Service’s address APIs. When NPD users submit a Location, it should be required to correspond to a USPS address or point to a parent Location resource that is a USPS address. For example, if an organization shares a provider clinic with a location, “123 State St, Culpeper, Culpeper County, VA, Suite 102”, this could be represented as:

Figure 7: Federated FHIR Location resource hierarchy

Handling Services

CMS creates a simple, standard list of “patient-facing” services, such as specialties and common conditions for which patients would seek treatment. These resources are submitted to NPD with CMS as the defined submitter, so no one else can create or edit them.

Organizations can optionally use these HealthcareService resources as “tags” they can put on providers and organizations to let patients know what services they can expect.

This approach significantly simplifies services interoperability while getting most of the value for patient-facing provider search services.

Keeping the Data Right

To ensure data quality and trust, NPD includes:

  • Ownership Control: Each organization submits only data for which it is a primary source and has access to edit only the data it submits
  • Flagging and Resolution: Users can flag incorrect entries; flags are routed back to the data owner for verification, and the verification status is visible to users
    • This could be modeled as a Task resource
  • Attestation and Verification: In general, NPD’s data model policy for sources limits cases where multiple sources attest to the same data; in cases where this is unavoidable, implementing an attestation and verification workflow may be required
  • Transparency: Every record shows who submitted it, when it was last updated, and whether and when it has been verified
  • Feedback-Based Incentives: Submitters are scored on data freshness and flag resolution, building an ecosystem of accountability and trust

Avoiding Contributing to Provider “Portalitis”

To avoid contributing to the fragmentation caused by redundant portals, NPD must avoid duplicating workflows already handled by NPPES and I&A. There are two strategic paths forward:

  1. Build new NPD workflows as an extension of NPPES; limit NPD’s scope to leverage NPPES for enumeration and identity management
  2. Fully replace NPPES with NPD, using I&A/IDM for identity and access control

We do not have sufficient insight into the technical infrastructure of NPPES to make a definitive recommendation. The decision should weigh the cost and complexity of maintaining and modernizing NPPES versus migrating a provider and organization enumeration process to NPD.

“Portalitis” in Credentialing and Payer Portals

Today, provider enrollment in health plans is largely portal-based, with each payer collecting a similar but unstandardized set of data. As a result, portals are likely to persist, as it is unrealistic that a single portal or transaction type could collect all the data that is needed.

NPD can add the most value by establishing itself as a high-quality, API-based baseline for provider and location information and interoperable endpoints related to that information. Portals can use reliable APIs to pull the information they need automatically, and credentialing and payer systems can be on the same page with provider systems about provider and location relationships.

5. Action Plan

A. Early Adoption (by EOY 2025)

This roadmap outlines the steps CMS could take to build a functioning NPD by the end of this year. The objective of this phase is to move quickly to create a functioning directory. This prototype will also serve as a testing ground for scalable infrastructure, FHIR specification, and policy development. While governance, data quality enforcement, and access control are essential to realizing the long-term vision for NPD, they will take longer to develop than this technical core and are not needed if there is a small number of early adopters. CMS could provision access to any of the CMS Aligned Networks or organizations for an initial demonstration of the database.

Goal for CMS: Launch a live, FHIR-based NPD prototype that allows early adopters to submit basic provider-location directory data and corresponding API endpoints.

1. Define Core Directory Scope

Establish the Base Directory Structure: Define a preliminary specification for NPD’s FHIR APIs and resources, prioritizing developer documentation over a formal implementation guide during the prototyping phase.

  • Recommended FHIR Resources: Utilize profiles from US Core for Practitioner, Organization, Location, Endpoint, PractitionerRole, Network, and InsurancePlan resources
  • Draw from established FHIR directory implementation guides like Da Vinci PDex Plan Net and HL7 FAST NDH for foundational concepts

2. FHIR Server Implementation

Select a FHIR Server: Implement the backend using a mature, off-the-shelf FHIR server to accelerate development and ensure standards conformance. Building a server from scratch is not recommended.

  • Commercial Recommendations: Firely Server (.NET), Smile CDR (Java), and Aidbox (Java) offer robust FHIR conformance and flexible deployment options
  • Open-Source Alternatives:
    • HAPI FHIR: A mature, Java-based FHIR implementation that forms the core of Smile CDR and is used in multiple CMS projects
    • Microsoft FHIR-Server: An enterprise-grade, .NET-based server optimized for Azure and built on top of the Firely SDK

3. Data Ingestion and Management

Bulk Import: Create a bulk import API (as defined in the HRSA UDS+ FHIR IG).

  • This will be used by:
    • The NPPES-to-NPD feed to bulk submit Practitioner resources
    • Submitters to bulk submit bundles of their respective directory resources
  • Some FHIR servers may implement this, but it is not yet specified in a published version of the HL7 Bulk FHIR IG; specify bulk import behavior in developer documentation for now

Automated NPPES-to-NPD Data Flow: Establish an automated data pipeline to ingest the weekly NPPES flat files or establish direct feed from NPPES to NPD for more timely data. This process will map core NPPES identity fields to the Practitioner resource and bulk-import the data into NPD.

  • Context-specific data like addresses or specialties from the NPPES record should be omitted from the core Practitioner resource

Data Submission & Retrieval: Utilize the standard FHIR create and update interactions for data submission and read and search interactions for retrieval, all of which are natively supported by mature FHIR servers.

[Optional] Periodic Publication: Instead of having numerous consumers trigger individual $export operations, CMS should publish bulk FHIR flat files on a recurring schedule. This improves efficiency, reduces redundant system load, and streamlines large-scale consumption.

  • Implement this by regularly triggering $export operations, publishing bulk files to an accessible location, and providing a manifest file with metadata to guide clients on which exports to retrieve; consider restricting the $export operation to just this regular trigger to limit overall system load on NPD
  • The Argonaut Project FHIR Accelerator is actively designing updates to the HL7 FHIR Bulk Data IG to formalize and standardize this idea

4. Access Control

Authentication and Authorization: Implement the SMART on FHIR (Backend Services) framework for server-side authentication and authorization, which is supported by most mature FHIR servers.

Resource-Level Ownership: Implement a mechanism to enforce data ownership, ensuring submitters can only modify resources they have created. This can be achieved using a custom extension on each resource, enforced by a server-side interceptor.

  • In Sequoia’s organization-based directories, this is represented in an extension which points to the logical entity responsible for the resource
  • This could also be implemented with Provenance resources

Define Authorization Scopes:

  • Public: Read-only access to all resources
  • NPPES: Write access for Practitioner resources
  • Provider Organization Submitter: Write access for Organization, Location, Endpoint, and PractitionerRole resources
  • Payer Organization Submitter: Write access for Organization, Network, InsurancePlan, and Endpoint resources

5. (Optional) Onboarding

Web Page: Create a public website for NPD, with onboarding steps and developer documentation.

Onboarding Process: Establish a formal application process for data contributors to be verified and provisioned with API credentials, modeling the process on existing CMS systems like DPC, BCDA, and Blue Button 2.0. Create a simple developer-focused web page with documentation.

6. (Optional) Auditing

AuditEvent resources should be created for auditing actions performed on the FHIR server.

Figure 8: The federated NPD directory after the Early Adopters phase; provider and payer directories are not integrated, but the Provider Directory API can be used to search the payer networks

After this phase, we have achieved an open, interoperable FHIR provider directory that allows for automated submissions from payers and providers and proves the technical concepts. We have not yet solved creating a single, fully deduplicated, reliable source of truth—we will need governance and an access control policy built on organizational identity proofing to move forward to that.

B. NPD Phase 1 (Targeting EOY 2026)

This phase transitions NPD from a prototype to an API-based, federated directory. The focus is on establishing robust data submission channels, improving data completeness, and introducing foundational services while consolidating provider workflows to reduce administrative burden. The goal is to create a national interoperability infrastructure in the form of a FHIR provider directory. This technical foundation can be extended in later phases to a single national source of truth.

  • Goals for CMS
    • Launch a fully functional NPD portal that allows providers and organizations to directly manage their directory data
    • Establish organizational identity standards
    • Enable scalable data submission through CMS Aligned Networks
  1. Web Portal Front-End

Create a user-friendly interface for providers and small organizations to directly manage their NPD data. This may support dashboards that API-based submitters could utilize.

  • User Onboarding
    • Allow individuals or organizations to delegate representatives for account setup and management. This could reuse CMS I&A
    • Organizational users can fill out a form to build out their directory resources in NPD
  • Self-Service Pages
    • Let users view and update their own or their organization’s data
    • Restrict edits to only the data they submitted in the portal; users should not be able to edit data submitted via API
  • Optional File Uploads
    • Enable bulk data entry through a file submission for organizations updating their data
    • An EHR could offer a bulk directory export feature, and a user at a small organization could use this feature to easily update their organization’s directory entry in NPD
  • Organization Structure Review
    • Provide a summary view for organizations to verify their hierarchy before submission
    • Create a page for an organization to see a review summary of their reported organization structure and hierarchy so they can verify it before (or after) submission

2. Organizational Identity

Since a healthcare organization might submit data to the NPD through various channels (like different networks or EHR systems), a clear system for managing identity is crucial to prevent duplicate records and ensure data integrity.

Establish the Legal Entity Concept: Define and support a unique identifier for the top-level “legal entity,” representing the full organization responsible for submitted data. This concept is broader than a billing entity (Type-2 NPI) and is necessary to aggregate data submitted from multiple sources under a single organizational owner.

  • This could be represented by a top-level ManagingOrganization resource in the NPD
  • The TEFCA directory employs a similar concept (the “TEFCA ID”) to associate entries from the same legal entity submitted by different sources

Attribute Ownership to the Legal Entity: Tie resource ownership in the NPD to the legal entity, not just the API client, allowing an organization to manage its data cohesively across different submission methods.

(Optional) Expand the Web Portal to Support “Legal Entity” Management: If the web portal is built on I&A it will only support individual providers and billing entities, which are often subunits of legal entities. It should be extended to support multiple billing entities’ directories being managed together by an administrative user representing the legal entity.

3. Federated Connectivity

Shift from individual point-to-point connections to a federated model using CMS Aligned Networks for more scalable onboarding data exchange.

Deduplication Policy: To prevent data conflicts, organizations must either:

  • Submit each data element through exactly one network or attribution source
  • Take full responsibility for deduplicating their own data if they choose to submit the same data from multiple networks

Organizations should be able to choose the network that shares their directory entries to prevent duplicate data. Build a workflow for an organization to choose what network submits its data.

Data Submitter Requirements: Define and enforce standards for network participants, including timely data updates, minimum data quality thresholds, and timely response to data quality flags.

Standardization:

  • Define consistent submission formats and interpretations of FHIR resources, particularly the Organization resource hierarchy; allow for flexibility, accommodating submitters with varying levels of detail in their organizational structure; it should be valid to associate all providers with the top-level legal entity if granular facility structure data is unavailable
  • Clarify expectations for sharing internal versus public API endpoints

(Optional) Point-to-Point Connections: For organizations that do not align cleanly with a single network or system—and are too large to use the NPD portal—a one-off integration with NPD may be required. To support such organizations, define an application workflow that allows them to assert their organizational identity and gain submitter access to a secure API for data submission.

4. Core Service Enhancements

Provenance Tracking: Automatically generate Provenance resources for all create, update, and delete transactions to capture the submitter identity and a timestamp for each change. This information should be surfaced in the NPD web portal.

Data Validation: Implement server-side validation rules that go beyond basic FHIR profiles, such as comparing submitted Practitioner data against existing demographic information to detect inconsistencies. Introduce API rate limiting to prevent system abuse.

5. Data Quality Reporting and Resolution

Establish a mechanism for users to flag incorrect data.

Implement an API for managing these flags, using FHIR VerificationResult or Task resources to track them. The specification for this API should be detailed in developer documentation and iterated upon through testing.

Post weekly/monthly data quality flags in a flat file repository.

6. Federal Provider Data Alignment

Option 1 – Migration: Migrate existing NPPES provider and organization onboarding and data management workflows into the NPD portal to create a single, streamlined process.

Option 2 – Synchronization: Maintain NPPES as the authoritative source for core Practitioner identity data. Providers can update their Practitioner entry in NPPES.

7. In-Network APIs

Encourage payers to share their Da Vinci PDex Plan Net directory endpoints in NPD.

Avoid deduplicating payer data about provider organizations into NPD directly.

(Optional) CMS could build a service to consolidate network data from various payer Provider Directory APIs.

8. Developer Tools and Documentation

Create a developer sandbox.

Publish a formal implementation guide for NPD, potentially through a standards development organization like HL7.

9. (Optional) Location Normalization

Location Normalization: To reduce duplication of Location resources, use a service like the USPS Address APIs to normalize and standardize address-level Location resources.

  • Parent locations (e.g., address, city, county, state) can be auto-generated from USPS data when needed; this would create a set of shared, trusted Location resources not owned by any single organization
  • Organizations submit and own child locations like floors and suites

10. (Edge Cases) Onboarding and Offboarding, Mergers and Acquisitions

Lifecycle Management: Define clear processes for operational edge cases, such as transitioning an organization from manual management in the portal to API-based submission, bulk reassignment of organization identifiers during mergers and acquisitions, and delegating control of directory entries.

Figure 9: The federated NPD directory after Phase 1; provider and payer directories are not integrated, and payers’ networks and APIs to share network status

C. Future Workstreams

Once the technical foundation of NPD is completely built, further work will still be needed to elevate NPD to a trusted source of truth for provider and payer data. This requires achieving superior data quality, establishing stable identifiers for key entities, and integrating provider and payer data. The goal of this phase is to slowly “raise the bar” on data richness and data quality and unify the provider and payer data in the directory. After piloting this with a small group of health systems and payers, adoption mandates can start to be introduced.

  • Goals for CMS:
    • Focus on improving data quality, adoption rate, and data stability of NPD. Encourage payers to associate networks with provider organizations’ PractitionerRoles
    • Establish NPD as the single workflow and source of truth for basic provider-location-networks data

1. Improving Data Quality

Develop and display data quality metrics (e.g., duplication rates, completeness, timeliness of corrections) in a “report card” on the NPD web portal for organizations to monitor their performance.

Automated Data Correction: Implement workflows for automated data management. For example, a Practitioner record flagged as inactive (e.g., provider is retired or deceased) could be automatically deactivated after a set period.

Self-Service Data Correction Workflows: Allow individual providers to use the NPD web portal to disassociate their identity from PractitionerRole, Organization, or Network resources that have been improperly attributed to them.

Send alerts to providers when an organization submits data about them or removes the provider from their directory. Providers should have a self-service workflow to remove incorrect connections to organizations they are not affiliated with, and send a data flag to their system for a correction.

2. Governance

Create a “rules of the road” for data submitters to build trust and cooperation, prevent abuse of features like data quality flagging, and set a baseline for obligations and expectations.

Define an adjudication process or pathway for disputes about data ownership or quality.

(Optional) Attestation and Verification: Implement the attestation and verification specifications in FAST NDH to handle cases where two sources might attest to the same data, or data needs to be regularly verified.

  • Evaluate if or how often regular verification requirements are needed

3. Advanced Enumeration and Stable Identifiers

Align payer and provider data in NPD by connecting provider organization and payer network resources. To do this, standardized, reliable enumerations for provider-service relationships that both providers and payers can trust are necessary, so payers can use provider data from NPD.

  • Standardize Organization and PractitionerRole Resources
    • Define a standard for Organization hierarchy (e.g., Brand > Regional Brand > Location > Department) that reflects the care delivery structure (as opposed to the billing structure)
    • Require that the PractitionerRole resource be associated with the most granular Organization level available
    • Enforce the immutability of a PractitionerRole’s core attributes (Organization, Location, Practitioner). If any of these change, a new PractitionerRole must be created and the previous one deactivated; this ensures the stability of the PractitionerRole identifier, which is critical for downstream use cases like referrals, claims processing, and payer enrollment

Enforce Sharing Organization Hierarchy: Require sharing complete Organization hierarchy and sharing providers at the most granular level of this hierarchy (department-level).

Promote Identifier Adoption: With complete and reliable data, the Organization and PractitionerRole identifiers are ready to function as new NPI-like enumerations for service and provider locations, adding significant value to both payer and provider workflows.

4. Service Finder

Implement the FHIR HealthcareService resource to enable service discovery. CMS should restrict HealthcareService resources to a small, CMS-managed standard set of patient-understandable services to ensure cross-system interoperability of services. These resources will function as standardized “tags” linked to PractitionerRole or Organization resources to represent high-level specialties, common conditions, or other patient-facing services. This can power provider lookup functionality for patients, or help providers find a recipient for simple referrals. Attestation of these services should be optional.

5. Networks

Enable and encourage payer organizations to share Network resources with their insurance plans by associating them with provider organizations’ PractitionerRole records.

  • This model requires payer submitters to have write access to PractitionerRole resources that they do not own, as the reference to a payer’s Network is stored within the provider’s PractitionerRole; the system must enforce strict access control mechanisms to ensure that payers can only modify references to their own Network resources within a provider PractitionerRole, or implement a FHIR extension to change the data model
  • Payers are encouraged to expose APIs capable of determining whether a given PractitionerRole and CPT/HCPCS code pair is covered in a given network or plan

6. Credentials

Allow for state licensing boards and other professional credentialing bodies to be direct data submitters into NPD, associating data into the Practitioner resource.

7. Single Source of Truth

With both a technical foundation and a reliable foundation, CMS can now focus on establishing NPD as the single source of truth that patients, payers, and providers rely on for basic provider information and in-network checks. There should be sufficient time before this step so that providers, provider organizations, payer organizations, and technology vendors have time to shift to NPD. This could start with a small group of pilot organizations, providers, and payers.

  • NPPES Requirements: Create a plan to sunset NPPES and shift provider and organizational requirements for onboarding and regular data updates from NPPES to NPD
  • Offer incentives or grants to smaller clinics and FQHCs to help with initial onboarding to NPD, or delayed onboarding requirements for smaller organizations
  • Quality Designation: Create a program to vet and designate submitters who demonstrate high data quality; participation and good data quality in NPD could be tied to incentives like MIPS; scores could be based on having good data quality metrics, or documented processes for data review, corrections, and ongoing maintenance
  • No Surprises Act Enforcement: Shift No Surprises Act enforcement expectations to allow providers and payers to use NPD to achieve compliance
    • Providers fulfill the No Surprise Act obligation to regularly submit basic provider directory updates to payers by submitting to NPD
      • Payers may still require portals for plan enrollment
    • Payers fulfill the Good Faith Estimate APIs requirement by sharing an API in NPD that consumes an NPD PractitionerRole and a CPT/HCPCS code
    • Payers use NPD data to fulfill the No Surprises Act obligation to keep their provider rosters up-to-date with basic provider data updates from provider organizations
    • Patients can rely on NPD as audited proof of in-network status
  • Provider Directory API: Shift the Provider Directory API requirements away from payers offering an individual, payer-specific provider directory API to participation in NPD

Figure 10: Provider and payer data can now integrate, with payers able to connect their networks to provider PractitionerRole resources

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