Tuesday, May 12, 2026

< + > The Role of Technology in Aligning Payer and Provider Goals Around Value-Based Care and Quality Measurement

Technology is a vast umbrella term that covers so many aspects in healthcare, ranging from the smaller side, like healthcare apps and personal wearable devices, to the larger side, like artificial intelligence and precision medications. This makes it very difficult to be aware of all the technology in healthcare and how it’s useful in all of the many aspects of healthcare. So today, we are going to narrow this wide field down by focusing our attention on the technologies that are helpful in aligning payer and provider goals.

We reached out to our incredible Healthcare IT Today Community to ask — what role does technology play in aligning payer and provider goals around value-based care and quality measurement? Below are their responses.

Kempton Presley, CEO at AdhereHealth
Facilitating shared visibility, decision support, and interpretation, technology is essential to aligning payer and provider goals in value-based care. Data integration with advanced analytics flags members who are nonadherent, overdue for screenings, or trending toward higher utilization—allowing teams to prioritize outreach and close multiple quality gaps in a single interaction. That precision improves efficiency and strengthens shared accountability.

But technology isn’t the strategy. It’s the tool. AI can flag that a prescription wasn’t picked up; without proper training, the model can’t reliably uncover why. Human insights regarding transportation barriers, cost-driven refill delays, or a patient’s choice of groceries over medications require an emotional quotient that a generative model cannot emulate. Those insights require conversation, trust, and personal judgment. In value-based care, analytics surface shared risks to each stakeholder, but empathy and behavioral expertise from payor and provider constituents alike turn data into adherence, quality improvement, and lasting outcomes.

Lindsay Porter, VP of Coding and Clinical Solutions at AGS Health
Technology doesn’t just support VBC; it is the instrumental link between payers and providers to make alignment scalable and sustainable. Interoperable platforms, EHR integrations, FHIR standards, and advanced analytics create a unified “single source of truth” from clinical, claims, social determinants, and other data sets. This interoperability builds trust, reduces silos, and enables real-time tracking of key metrics like HEDIS scores, STAR ratings, and care gaps.

AI and predictive tools further support this alignment by automating gap closure, risk stratification, clinical decision support, and administrative tasks (e.g., prior authorizations), which shifts the focus to high-value care. Intentional integration will lead to the ultimate shared goal: better population health, lower costs, improved patient experience, and provider satisfaction.

Carol Skenes, Chief of Staff & Principal Regulatory Strategist at Turquoise Health
VBC and quality measurements are often tied to longer episodes of care that involve multiple appointments, providers, and types of care. For example, an orthopedic surgery episode may involve multiple consults, imaging, pre-op, the actual surgery, and a series of post-op appointments. Technology allows for a comprehensive view of those appointments to help ensure patients are getting the right level of treatment and minimize the risk of complications or readmissions.

As far as reimbursing these episodes of care, I also view technology as the solution to simplifying care bundles. Right now, VBC care and quality are tracked across each of the services and appointments using proprietary codes; however, an open source singular code for the entire episode of care can help simplify tracking, payment, and goals alignment to encourage more VBC and episodic-based contracts between payer and providers.

Kengo Takishima, Chairman and CEO at Baylor Genetics
Genomic sequencing technology, such as rapid whole genome and whole exome sequencing, can play a pivotal role in aligning payer and provider goals because of its ability to deliver timely genetic insights that can be vital to support accurate diagnoses and more personalized patient care.

For patients with rare or undiagnosed diseases, their genes often hold the key to getting the answers they need. Access to genomic sequencing from the beginning can provide insights that inform a clearer diagnosis earlier in the care journey – ultimately supporting more targeted medical management decisions, connecting families to the right specialists, guiding long-term care planning, and improving quality of patient care and outcomes.

For value-based care, that speed and accuracy can translate directly into measurable impact: accelerated time-to-diagnosis and improved outcomes, fewer unnecessary appointments and procedures, avoidance of ineffective treatments, and reduced long-term costs across the system. In that way, genomic sequencing technology serves as a powerful bridge between providers focused on clinical excellence and payers focused on sustainable, outcomes-driven care.

Theo Koury, MD, President at Vituity
Technology plays a critical role in aligning payer and provider goals because it creates shared visibility into both clinical outcomes and the operational drivers of cost. In value-based care, alignment depends on transparency, efficiency, and trust across the ecosystem. Payers and providers ultimately want the same outcome: high-quality care delivered sustainably.

One of the greatest barriers to achieving that goal is administrative complexity. Healthcare bureaucracy is estimated to account for 15%–30% of total national health expenditures, meaning hundreds of billions of dollars tied to manual processes, redundant workflows, and fragmented or inaccurate information. Thoughtfully deployed technology can help address this challenge. Automation, interoperable data systems, and real-time analytics reduce administrative friction, improve data accuracy, and streamline processes like quality reporting, authorization workflows, and performance measurement. When both payers and providers are working from the same reliable data, quality metrics become clearer and incentives align.

Technology also enables proactive care through decision support and predictive insights that help clinicians intervene earlier and reduce unnecessary utilization. Real progress requires collaboration, and technology alone cannot solve misalignment. It must be implemented through shared accountability between payers, providers, and technology partners working toward better outcomes and a more efficient healthcare system.

Carney Taylor, MD, MBA, Chief Medical Officer at Interwell Health
Technology is critical to aligning payer and provider goals in value-based care because it creates a shared, longitudinal view of the patient and embeds quality into everyday practice. In kidney care, data is fragmented across specialties and venues of care. If we can’t connect that information, we can’t proactively manage risk or consistently perform against quality measures. That’s why we collaborate with payers to aggregate and analyze data across the continuum and present it in a way that follows the patient—so providers can intervene earlier to improve outcomes and reduce total costs of care.

Just as important, technology has to fit the workflow. We can’t expect clinicians to log into another platform. Quality insights must be embedded directly in the EHR at the point of care to surface care gaps, recent hospitalizations, and next-best actions in the moment decisions are made. When predictive analytics and population health tools are integrated into a nephrology-focused system, quality measurement becomes part of care delivery, not a separate reporting exercise.

Payer and provider alignment is also built on trust and transparency. Our technology is built to address the needs of our payer and provider partners, and our AI tools operate in secure environments with full traceability following human-in-the-loop principles. The goal is to augment clinical judgment, not replace it, to enable exactly the kind of personalized, proactive, and efficient care that value-based models are designed to reward.

Jeff Bennett, Chief Strategy and Innovation Officer at Modivcare
Technology plays a central role in aligning provider and payer goals in today’s healthcare environment. Interoperable remote monitoring solutions give clinical teams a clear and consistent view of members’ health journeys, while equipping payers with data and insights to measure care plan effectiveness that happens outside of the traditional clinical setting. With a data-driven foundation, both parties can clearly define and track care quality and ensure measurable health outcomes are aligned with value-based care.

Data and care insight accessibility within a coordinated care ecosystem allows providers to deliver more proactive care while fostering better alignment around quality improvement across the industry. Ultimately, this translates to quantifiable improvements in both member outcomes and total cost of care, and ensures that value-based care benefits providers, payers, and members alike.

Suhas Ramachandra, VP Product Strategy & Innovation at ZeOmega
Technology has become the execution layer of value-based care. It must translate contract terms, quality measures, and utilization policies into real-time, actionable workflows that connect clinical activity to financial performance. When payers and providers operate from a shared, normalized data model, alignment improves, and accountability becomes measurable, not theoretical.

Stephen Vaccaro, President at HHAeXchange
In home care, technology is essential to aligning payer and provider goals around value-based care and quality measurement. Because care is delivered in the home rather than a facility, consistently measuring quality depends on real-time documentation. When caregivers record point-of-care observations using interoperable systems that are connected to payers and state Medicaid programs, they ensure everyone is operating from the same central data set. That shared visibility makes it easier to track outcomes, monitor adherence to care plans, and reflect reimbursement for the quality of care delivered.

Technology also strengthens the operational processes behind value-based reimbursement. When documentation, authorizations, quality reporting, and billing are connected instead of managed separately, agencies can reduce administrative workloads and better align their operations with payer requirements. Timely, accurate data improves billing reliability and helps prevent reimbursement delays. Integrated technology syncs care delivery and payments by making quality tracking a part of everyday operations rather than an added reporting requirement.

Elevsis Delgadillo, SVP, Customer Success at KeenStack
Technology is foundational for enabling true value-based alignment. Predictive analytics help forecast patient health risks, utilization, and cost trends so both payers and providers can act proactively. AI-powered decision support reduces variability at the point of care, while risk stratification and care gap identification directly connect quality outcomes to financial performance.

Monte Sandler, Chief Operating Officer at WebPT
Technology allows providers to automate the complexity that historically required heavy manual oversight. AI can manage thousands of payer-specific rules, coding combinations, and exceptions simultaneously, which reduces friction in the revenue cycle. When administrative waste goes down, and payment becomes more predictable, both providers and payers benefit operationally. That alignment supports broader goals around efficiency and value.

Kevin Ruane, Practice Leader, Analytic Advisory at Truven
Healthcare organizations increasingly recognize that effective claims management, utilization review, and care coordination require a truly holistic analytics strategy. Members are more than a single metric—clinical, behavioral, social, and financial health all intersect to shape outcomes. That’s why leading payer–provider ecosystems are moving beyond siloed datasets and embracing diverse sources, from clinical records and social risk indicators to financial data and program participation.

To unlock member insights, it is now essential to use an analytics platform that integrates all data sources. These integrated, multiple perspectives power advanced machine learning models, as organizations gain a clearer, more actionable view of cost drivers, care needs, and member engagement in healthcare. The result is more accurate interventions, utilization decisions, and care pathways that improve both affordability and the member experience.

Dan McDonald, Co-Founder and CEO at 86Borders
Technology plays a critical and supportive role in aligning payers and providers around value-based care and quality metrics like Centers for Medicare & Medicaid Services (CMS) Star Ratings and the Healthcare Effectiveness Data and Information Set (HEDIS). Data platforms can identify care gaps, stratify risk, and flag members who are overdue for screenings, or managing complex chronic conditions, behavioral health, and/or social determinants of health (SDOH) barriers.

It is important to note that the real alignment happens when those insights are paired with human-centered outreach. Simply sending automated reminders often leads to message fatigue and disengagement. When care coordinators use technology to prioritize outreach — establish a “human-to-human” conversation, then build trust, address immediate barriers, and coordinate with providers — quality scores improve, unnecessary utilization declines, and both payer and provider performance goals are met more effectively.

Derek Plansky, SVP Governance & Solutions at Health Gorilla
Technology plays a critical role in aligning payer and provider goals under value-based care. It makes quality measurement and utilization insights more efficient, transparent, and actionable. Interoperable data infrastructure enables clinical, quality, and administrative data to be used consistently across organizations. This shifts the focus from collection to outcomes and enables more confident performance measurement.

Julie Scherer, President and Chief Solutions Officer at Motive Medical Intelligence
Evidence-based clinical analytics focused on waste, appropriateness, and quality of care are a key technology for aligning payer and provider goals in value-based care, a holy grail we are trying to universally achieve in the U.S. health system. Clinical analytics systems that measure individual physician performance deliver expert insights that align payers’ cost-reduction priorities with providers’ commitment to appropriate, high-quality care. By analyzing settled claims data against established standards-of-care guidelines, these systems identify unnecessary, inappropriate, and wasteful care — a critical component of value-based alignment and success.

So many great points to consider here! Huge thank you to everyone who took the time out of their day to submit a quote to us! And thank you to all of you for taking the time out of your day to read this article! We could not do this without all of your support.

What role do you think technology plays in aligning payer and provider goals around value-based care and quality measurement? Let us know over on social media, we’d love to hear from all of you!



< + > AI in Patient Access

The following is a guest article by Stephen Dean, COO at Keona Health

Three weeks ago, a health system CIO told me her patient satisfaction scores dropped after she deployed an AI scheduling tool. She’d expected the opposite.

I wasn’t surprised. I’ve been building patient access systems for 13 years, and I’ve seen this happen often enough that I’ve stopped calling it a paradox. It’s a predictable outcome of a category mistake most health systems are making right now.

The mistake is treating patient access as a collection of channels when it’s actually a single workflow that runs across all of them.

Most health systems today have a scheduling tool, a nurse triage line, a digital front door of some kind, maybe a chatbot, and an intake process. Each was bought separately, implemented separately, and is measured separately. The vendor for your scheduling tool isn’t accountable for what happens when a patient fails to complete the digital journey and calls your triage line instead. Nobody is.

So what happens? The nurse picks up the phone and starts from scratch. She doesn’t know the patient spent 20 minutes on your website last night before giving up. She doesn’t know they were trying to schedule their eight-year-old and couldn’t find a pediatric slot. She asks questions that the patient has already answered online. The patient is irritated before they’ve said more than their date of birth.

Average handle time goes up. Patient satisfaction goes down. Your AI investment looks like it failed. It didn’t fail. It just exposed a gap that was already there.

That gap — the space between your digital front door and your phone workflow — is where patient access actually lives. It’s not a technology problem. It’s an architecture problem, and no single vendor is going to solve it for you unless the system treats all your access channels as one thing.

The organizations I’ve seen get this right share one characteristic: they defined what success looks like at the handoff. Not within a single channel, but between them. What happens when digital fails? What does the phone agent see? What does triage know? If the answers are “nothing” and “whatever the patient tells us,” you have a gap.

At Keona, we built CareDesk to close that gap — phone, text, web, and nurse triage in one AI-assisted workflow, connected directly to the EHR. I’m not saying that to pitch our product. I’m saying it because the architecture decision is the one that actually matters, and most of the market is still selling features when the real question is infrastructure.

EmergeOrtho and Intermountain Healthcare both came to us after investing in access technology that had done exactly what it was supposed to do and still left them with frustrated patients and overwhelmed staff. In both cases, the problem wasn’t any one tool. It was the seams between them. Within 90 days of deploying a unified workflow, both organizations could finally see what was happening across all their access channels in one place. That visibility alone changed how they made decisions.

You can’t fix what you can’t see. And you can’t see your patient access operation clearly when the data lives in four different vendor portals with four different definitions of “completed appointment.”

One question I’d ask before any access technology investment: when a patient falls off this channel, where do they go, and does the next system know they were there? If the vendor hesitates on that question, you’re probably buying another silo.

Your patients will figure that out faster than your dashboard will.

About Stephen Dean

Stephen Dean is COO at Keona Health. He has spent 13 years building patient access systems for health systems ranging from independent practices to large integrated delivery networks.



< + > Med Tech Solutions Acquires Avarion | Medisolv Acquires Health Elements AI

Check out today’s featured companies who have recently completed an M&A deal, and be sure to check out the full list of past healthcare IT M&A.


Med Tech Solutions Acquires Avarion, Strengthening Its Role as a Managed Service Provider Across the Full Care Continuum

Med Tech Solutions (MTS), a leading provider of managed healthcare IT services, today announced the acquisition of Avarion, a two-time Best in KLAS HIT Advisory firm serving hospitals, health systems, and care networks. The acquisition accelerates MTS’s growth as a managed service provider supporting the full continuum of care, from ambulatory and community-based care settings to complex acute care environments.

The combination unites MTS’s EHR managed services, application support, and technology infrastructure expertise with Avarion’s deep experience in healthcare IT advisory, consulting, and leadership services. With the acquisition, MTS is now further positioned to help healthcare providers competitively navigate increasing regulatory complexity, workforce strain, and technology-driven change across the enterprise.

“Healthcare organizations are looking for trusted partners who can support them across the entire care continuum—not just at a point in time, but over the long term,” said Mona Abutaleb, Chief Executive Officer at Med Tech Solutions. “The addition of Avarion strengthens MTS’s ability to serve providers across ambulatory and acute care environments by pairing strategic guidance with comprehensive, hands-on managed services. Both organizations share a strong service culture and a commitment to helping clients operate effectively, so they can stay focused on patient care.”

Formerly known as Huntzinger Management Group, Avarion is a trusted partner to healthcare organizations, delivering results through data-driven strategy and disciplined execution. Led by experienced executives, clinicians, and technologists, Avarion provides guidance that drives immediate impact while creating sustained value for evolving healthcare organizations. These capabilities strengthen MTS’s ability to support healthcare organizations as both a strategic advisor and long-term strategic partner.

As part of the transaction, Avarion CEO and Founding Partner, Robert Kitts, will report to Abutaleb and lead MTS’s strategic advisory and staffing services.

“Joining Med Tech Solutions represents a natural evolution for Avarion and a powerful opportunity for our clients,” said Kitts…

Full release here, originally announced May 6th, 2026.


Medisolv Acquires Health Elements AI to Reinvent How Healthcare Organizations Capture and Use Quality Data

AI-Driven Data Abstraction will Substantially Reduce Manual Workload, Improve Access to Clinical Data, and Expand Medisolv’s Impact Into Registries and Proactive Quality Improvement Initiatives

Medisolv, Inc., a national leader in healthcare quality data management, today announced the acquisition of Health Elements AI, whose technology helps capture and structure clinical data from medical records for quality reporting and clinical registries. The acquisition helps reduce the administrative burden of manual chart review, improves access to additional clinical data, and broadens Medisolv’s quality reporting and analytics capabilities.

As quality programs continue to expand across regulatory bodies, professional associations, and value-based care payment models, healthcare organizations are under increasing pressure to work with data that is often fragmented, incomplete, ungoverned, and difficult to use. Much of the information needed for reporting and performance improvement still requires time-intensive manual review, creating an administrative burden and slowing action.

For Medisolv, this is a natural next step. The company has long helped healthcare organizations report, validate, and act on quality data. Today, Medisolv works with more than 1,800 healthcare organizations nationwide, supporting over 500 quality and safety measures and managing more than 140 million patient records across its customer base.

The addition of Health Elements AI directly impacts the front lines of quality data creation, enhancing the work of more than 4,000 chart abstracters supported by Medisolv, who collectively reviewed nearly 3 million cases last year. At a time when healthcare organizations are under increasing pressure to do more with less, this reduces the reliance on time-intensive manual chart review while improving how clinical data is captured. This enables organizations to move faster, scale more efficiently, and act on more complete and reliable data.

With that scale and depth, Health Elements AI expands further upstream into how data is captured and prepared, strengthening Medisolv’s ability to deliver complete, reliable data for reporting, submission, analytics, and performance improvement.

The acquisition also expands Medisolv’s reach beyond traditional CMS and accreditation programs into clinical registries and specialty-driven quality initiatives, including…

Full release here, originally announced April 30th, 2026.



Monday, May 11, 2026

< + > MedFlorida Uses ClinicalWorks’ AI Solutions as a Growth Enabler

Implementing AI for revenue cycle management (RCM) can feel like walking a tightrope. After all, RCM is the lifeblood of clinical practices. Failure here means claims pile up and cash flow stops. One organization decided to move ahead and is now able to scale their practice without having to add hard-to-find billing resources.

Healthcare IT Today sat down with Robert DeLuca, EHR Innovation Administrator at MedFlorida Medical Centers. We explored the realities of deploying eClinicalWorks AI tools, particularly for RCM, and how getting it right benefits both clinicians and the billing team.

Key Takeaways

  • AI is a Growth Engine: AI in the revenue cycle is about scaling a practice efficiently. By speeding up the billing process, practices can confidently expand locations and add new providers without straining their existing administrative infrastructure.
  • Nip Claim Rejections in the Bud: The best time to fix a claim is before it ever leaves the exam room. Point-of-care AI that prompts clinicians to correct insufficient documentation immediately eliminates the time-wasting back-and-forth with the billing department.
  • Ambient Listening is a Powerful Recruiting Weapon: Ambient AI scribes have evolved from a simple documentation aid into a non-negotiable recruiting asset. Recognized widely by clinicians as a way to reduce charting fatigue, AI scribes are now seen as a must-have.

AI is a Growth Engine

For DeLuca, Implementing automation is fundamentally about increasing capacity and not about cutting staff. MedFlorida wanted to expand and he understood that their internal administrative workflows needed to keep pace. DeLuca believed that AI could provide the efficiency that they needed to scale.

“Our goal with AI for billing was to make it more efficient so that we can take on more and grow,” DeLuca stated. MedFlorida successfully implement eClinicalWorks’ RCM AI. With it, the organization can manage a higher volume of claims smoothly without the need to add billing staff who are increasingly difficult to hire and retain.

Nip Claim Rejections in the Bud

A rejected claim is a massive drain on resources. It creates a frustrating loop between the billing department and the provider. Catching documentation errors at the point of care changes the entire dynamic.

With eClinicalWorks’ RCM AI, the system alerts a clinician that information may be missing in order to bill properly. By prompting immediately, the fix takes seconds, without any back-and-forth with the billing team.

“It’s hard to quantify exactly, but you can imagine how much time that is saved,” explained DeLuca. “Had that claim been submitted, it may have been rejected or the billing department may have caught it. In either case, they would have to send that progress note back to the clinician to fix it. With eClinicalWorks the clinicians knows to fix it in the moment.”

That simple prompt eliminates the claim reject-fix loop that is universally despised.

Ambient Listening is a Powerful Recruiting Weapon

Clinicians documenting late into the night benefits no one. Introducing ambient listening tools directly targets this “pajama time”, keeping providers focused on patients instead of screens.

The technology is so effective that it has become a core part of the hiring pitch and a retention tool. “I know for a fact that when clinicians leave our practice, wherever they’re going, they’re looking for ambient listening because they’ve had it here,” observed DeLuca. “They’re addicted to it, and they don’t they don’t want a workflow without it,”

DeLuca firmly believes that if you are not offering these tools, you are losing top talent to practices that do.

The Bottom Line for Health IT Leaders

For DeLuca and MedFlorida, eClinicalWorks’ RCM AI is tool that enables growth and expansion. By eliminating time-consuming loops in their RCM process, the team has increased their capacity without adding people. They realized similar benefits with AI scribe technology. Seeing AI as a growth enabler is powerful reframe for MedFlorida leadership and for them, AI has quickly become a baseline for running a modern, competitive practice.

What Healthcare IT Leaders Are Asking

How does AI reduce claim rejections in healthcare? AI reduces claim rejections by analyzing documentation at the point of care and prompting clinicians to correct missing or mismatched information before the progress note is finalized – a key feature of eClinicalWorks’ RCM AI. This proactive approach ensures the billing department receives a clean claim. It stops the cycle of returning notes to busy providers for revisions.

How does AI help a billing department scale? The primary function of AI in the revenue cycle is to increase efficiency. By automating repetitive tasks and catching errors early, current billing teams can process a larger volume of claims. This allows practices to grow and add new providers while maintaining a smooth administrative workflow.

Why are AI scribes important for recruiting clinicians? AI scribes, like Sunoh.ai, are important for recruiting because clinicians are actively seeking workplaces that prioritize their well-being. Tools that automatically draft clinical notes save hours of administrative work and significantly reduce burnout. Providers who have experienced this workflow consider it a necessity and will choose practices that offer it over those that do not.

Learn more about MedFlorida Medical Centers at https://medflorida.com/

Learn more about eClinicalWorks at https://www.eclinicalworks.com/

Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.

And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.

Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.

eClinicalWorks is a proud sponsor of Healthcare Scene.



< + > Health IT Mount Rushmore: Part 2 – Healthcare IT Today Podcast Episode 192

For the 192nd episode of the Healthcare IT Today Podcast, we are finishing our Mount Rushmore for Health IT! In case you missed it, we had so much to discuss that we started our Mount Rushmores in the previous episode. If you want to hear the full build, make sure to check out the previous episode as well. To complete our Mount Rushmores, we first talk about what Health IT Companies we think should be on it. Then we discuss who would be on our own personal Health IT Mount Rushmore. Do you think we missed out on putting someone on our lists? Is there anyone we added to our lists that you think we shouldn’t have?

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

  • Who should be on the Mount Rushmore of Health IT Companies?
  • Who would be on your own personal Health IT Mount Rushmore?

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:



< + > Aidoc Raises $150 Million Series E Led by Goldman Sachs | Iterative Health Closes $77 Million Series C

Check out today’s featured companies who have recently raised a round of funding, and be sure to check out the full list of past healthcare IT fundings.


Aidoc Raises $150 Million Series E Led by Goldman Sachs to Scale Clinical AI for Earlier, Safer Diagnoses

The Funding Accelerates Expansion of Aidoc’s Clinical Foundation Model and Enterprise AI Platform to Combat Diagnostic Harm and Improve Efficiency Across Health Systems

Aidoc, a global leader in clinical AI, has raised $150 million in Series E funding led by Growth Equity at Goldman Sachs Alternatives. The round had participation from General Catalyst, SoftBank Vision Fund 2, and NVentures (NVIDIA’s venture capital arm). The round brings total funding to over $500 million, less than a year after a growth round led by General Catalyst and Square Peg. This underscores the pace of Aidoc’s momentum and the accelerating demand for enterprise-scale clinical AI.

Diagnostic errors and delays contribute to at least 400,000 deaths each year in the United States, driven by rising imaging volumes, workforce shortages, and growing clinical complexity. While AI has long promised to reduce that burden, most tools have tackled one use case at a time, limiting their impact at scale.

As hospitals seek broader, system-wide solutions, the market is shifting toward clinical AI deployed across entire health systems. Foundation models have made that shift technically possible by enabling expanded coverage across conditions and imaging modalities from a single architecture. Translating that capability into regulated, real-world care, however, has proven far more complex. Aidoc developed its own clinical foundation model, CARE, and deployed it through its enterprise platform, aiOS. Earlier this year, CARE received a landmark first FDA clearance for a comprehensive double-digit foundation model-based triage system in clinical imaging. Today, the company analyzes more than 60 million patient cases annually and is deployed across nearly 2,000 hospitals, signaling a new phase in the adoption of clinical AI.

“By 2030, every complex diagnostic decision should be supported by AI that enables earlier detection and reduces preventable error,” said Elad Walach, Co-Founder and CEO at Aidoc. “We feel a deep responsibility to deploy CARE safely and at scale across health systems. This funding accelerates comprehensive disease coverage and advances end-to-end AI across CT and X-ray, spanning the full workflow, including pixel to draft report within two years.”

As clinical AI moves to enterprise deployment, a determining factor is governance and regulatory discipline. In large, complex health systems, scale requires not only advanced technology but the oversight and accountability needed to operate safely in real-world care.

“Aidoc pairs advanced technology with regulatory rigor in a way that few companies have achieved,” said Christian Resch, Partner at Growth Equity at Goldman Sachs Alternatives…

Full release here, originally announced April 29th, 2026.


Iterative Health Closes $77 Million Series C to Accelerate the Future of Clinical Research

Led by Intrepid Growth Partners and GV (Google Ventures), Funding Advances Iterative Health’s Position as the Leading Multispecialty Clinical Research Network

Iterative Health, a healthcare technology and services company powering the acceleration of clinical research, today announced the close of a $77 million Series C financing round. The round was led by Intrepid Growth Partners and GV (Google Ventures), joined by new investors EDBI (arm of SG Growth Capital, the investment platform of EDB and Enterprise Singapore) and a prominent family office, and participation from existing investors such as Insight Partners and Obvious Ventures.

Clinical trials are critical in bridging scientific discovery and patient care; however, systematic challenges delay the delivery of new therapies to patients who need them most. More than half of research sites enroll one or fewer patients per study, and nearly 90% of US-based trials fail to meet enrollment targets on time, underscoring the constraints on sites operating in an increasingly complex research environment.

Iterative Health is addressing these challenges by building a high-performing, multispecialty clinical research network that embeds research directly into clinical care. Unique from traditional research networks, the company places site success at the center of trial execution. By combining centralized operations, expert staffing, proprietary AI technology, and deep clinical trial expertise, Iterative Health developed a proven site-serving model for sustained site success and reliable trial execution. Sponsors and CROs gain centralized access to industry-leading sites and diverse patient populations, accelerating trials to advance the future of care.

Today, Iterative Health’s global network includes more than 100 research sites across North America, Europe, India, and Australia, as well as partnerships with over 40 pharmaceutical, biotech, medical device, and contract research organizations. Compared to industry benchmarks for IBD trials, the network delivers 2x faster site activation, reducing startup timelines by up to 3 months, and 3x higher patient enrollment rates, with an average of more than two IBD patients randomized every business day across the global site network.

“Every delay in a clinical trial is a delay for patients whose outcomes depend on faster access to innovation. By keeping our physician partners and their patients at the center of our model, we’ve built a system that delivers high-performance site execution at scale,” said Jonathan Ng, MBBS, Founder and CEO at Iterative Health…

Full release here, originally announced April 30th, 2026.



Sunday, May 10, 2026

< + > Bonus Features – May 10, 2026 – Poor communication would lead 58% of patients to look for a new provider, Google extends Chrome with security features for healthcare, plus 27 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 that 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.

Partnerships

Products

Implementations

Company News

People

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.

Happy Mother’s Day, everyone!



< + > The Role of Technology in Aligning Payer and Provider Goals Around Value-Based Care and Quality Measurement

Technology is a vast umbrella term that covers so many aspects in healthcare, ranging from the smaller side, like healthcare apps and person...