< + > The Hidden Link Between Legacy Data and Patient Safety

When a health system transitions from a legacy system, like an EHR, the old records linger as disconnected data islands when not properly planned for. Managing that data does not have to be an IT headache and leveraged properly, that data can significantly improve patient safety risk.

Healthcare IT Today sat down with Justin Campbell from RLDatix to discuss legacy data management. The conversation explored how modernizing data archives is tightly tethered to reducing clinician burden and improving patient safety outcomes.

Key Takeaways from the Legacy Data Management and Patient Safety Conversation with Justin Campbell

• Legacy systems contribute to burnout. Clinicians wasting time fishing through multiple decommissioned databases is a cause of frustration and fatigue.
• Incident reporting needs historical context. Without immediate access to legacy records, providers cannot truly understand or prevent patient safety issues.
• AI uncovers the missing reason. Mining incident reports and legacy data with artificial intelligence helps pinpoint systemic issues that may have been missed due to the low frequency of incidents.

Legacy Data Contributes to Burnout

Keeping a dozen decommissioned systems alive is a massive technical debt. More importantly, it is a daily friction point for clinicians. When doctors have to hunt for old records, care slows down.

“It’s contributed to clinician burnout, switching between multiple systems,” noted Campbell.

Providers need that history at their fingertips. If they are forced to fish around for records in different silos, it’s a barrier to providing safe patient care. Consolidating that legacy portfolio into a single accessible archive removes the friction.

Finding the Root Cause with AI

Storing incident reports is only the first step. The real value lies in connecting those reports to the broader historical patient record. This is where practical artificial intelligence can do the heavy lifting.

By bridging the gap between incident reporting and archived EHR data, organizations can let the data do the detective work.

“It’s about figuring out the why,” Campbell explained. “That’s the missing part, and that’s what AI is particularly adept at”.

Analyzing these combined datasets allows leaders to benchmark safety profiles before and after digital transformations. It turns static archives into active risk mitigation tools.

The Bottom Line

The connection between legacy data management and incident reporting is clear. Leaving historical data scattered across forgotten systems creates blind spots in patient care. Bringing that data together creates a foundation for actionable insights. Health IT leaders who treat their legacy estate as a safety asset will be better positioned to protect both their patients and their staff.

What Healthcare IT Leaders Are Asking

How does legacy data archiving and management impact patient safety?
When legacy data is scattered across multiple decommissioned systems, clinicians lack a complete historical view of the patient. This missing context can lead to clinical blind spots. Consolidating records into a single archive ensures providers have the information they need to make safe clinical decisions quickly.

Why apply AI to incident reporting and legacy data?
Traditional incident reporting captures that an event occurred, but it often misses the underlying cause. Applying AI to a combined dataset of incident reports and legacy records helps uncover hidden patterns. This allows organizations to identify specific workflow failures and address them proactively.

What is the hidden cost of maintaining multiple legacy EHRs?
Beyond the obvious licensing and server maintenance expenses, keeping multiple legacy systems running contributes significantly to clinician fatigue. Forcing providers to log into different interfaces to piece together patient histories drains their time and energy. Modern archiving solutions reduce this cognitive load while keeping the organization legally compliant.

Learn more about RLDatix at https://www.rldatix.com/

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

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RLDatix is a proud sponsor of Healthcare Scene.

< + > Reducing Hold Times and Staff Burnout with AI Call Automation

At many health centers, plain old telephone service (POTS) is still one of the primary forms of interaction with patients outside of office visits. In a recent interview with Tracy Causey, CEO of Capital Area Health Network, he shares how their three sites, servicing about 17,000 patients, used AI to streamline patient interactions.

When all calls were handled manually, results were so bad that they replaced their phone system several times, with no improvements. Many patients weren’t answering their phones, calls were missed or dropped, others would crave contact and keep staff on the phone for a long time. Average wait times were 30-40 minutes, and one long wait led to a negative online review which was problematic for the organization.

As an eClinicalWorks site, the health system decided to try healow Genie to handle calls. It was a simple integration, and worked “out of the box.” The approximate 400 calls they get each day are now spread out, as patients take advantage of 24/7 availability. And when a call does require staff, healow Genie gets a live agent person on the phone within a minute and 20 seconds.

More importantly healow Genie handles about 80% of all calls with no staff interaction, answering the phone within 14 seconds versus previous wait times which regularly reached 30-45 minutes.

Although some staff were worried that the AI system would replace them, they found instead that staff had more time for important tasks outside of answering the phones. When healow Genie does connect a patient to a live agent, the agent can handle a call faster because healow Genie shares basic information with the live agent about the issue before connecting the patient.

As for the patients, they took a little while to accept the system. Causey says it was actually less popular among young patients as well as the elderly. But he explained to patients that all institutions are moving in the direction of AI-handled calls.

healow Genie helps Capital Area Health Network with appointment scheduling, medication refills, and simply providing information about what services the system provides or what a patient’s own treatment plan is. Causey advises managers who install such systems that the staff need education in order to accept the system.

Check out our interview with Capital Area Health Network to learn more about their implementation of the healow Genie call center agent.

Learn more about Capital Area Health Network: https://cahealthnet.org/

Learn more about eCW: 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.

< + > Sagility Acquires CareSeed | Model N Acquires Kalderos

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.

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Sagility Acquires CareSeed to Accelerate AI-Led Quality Operations and Medicare Advantage Performance Transformation

Acquisition Expands Sagility’s Healthcare Quality, HEDIS, and Care Gap Orchestration Capabilities for Health Plans

Sagility, a leading tech-enabled healthcare operations and transformation company, today announced its acquisition of CareSeed, a U.S.-based healthcare analytics company specializing in NCQA-certified HEDIS quality reporting, medical record review, chart abstraction, and regulatory analytics for health plans.

Founded in 2012 and headquartered in Kansas City, Missouri, CareSeed serves 30 small and mid-sized U.S. payers, with a strong footprint in Medicare Advantage. The company’s cloud-native platforms, Forecast and Harvest, help health plans improve HEDIS performance, streamline chart abstraction and medical record review workflows, strengthen audit readiness, and manage increasingly complex regulatory requirements.

The acquisition represents a strategic expansion of Sagility’s healthcare quality and Stars capabilities and advances the company’s broader vision of moving health plans beyond retrospective HEDIS reporting toward integrated, member-level quality orchestration.

By combining CareSeed’s technology with Sagility’s healthcare operations, clinical services, and AI-led transformation capabilities, Sagility will deliver an end-to-end quality operations continuum.

The combined offering will support health plans across the full quality lifecycle — from HEDIS abstraction and reporting to prospective gap closure, provider engagement, care coordination, and continuous performance monitoring.

“CareSeed has built strong capabilities in quality measurement, HEDIS reporting, and healthcare analytics that have helped health plans navigate an increasingly complex regulatory environment,” said Ramesh Gopalan, Managing Director and Group Chief Executive Officer at Sagility…

Full release here, originally announced June 11th, 2026.

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Model N Acquires Kalderos to Expand its 340B Capabilities and Gross-to-Net Revenue Management

Deal Adds Claims-Level Visibility to Help Manufacturers Identify Duplicate Discounts Earlier and Reduce Revenue Leakage

Model N, a leading end-to-end commercialization, revenue optimization, and compliance platform for life sciences companies, announced it has acquired Kalderos, a technology company that provides a gross-to-net (GTN) intelligence platform with rich capabilities for driving visibility into 340B drug discount programs.

The acquisition will expand Model N’s capabilities as a leading revenue management platform for life sciences manufacturers and extend its 340B offerings to better serve customers. 340B, a federal program that requires drug manufacturers to sell outpatient drugs at discounted prices to eligible safety-net hospitals and clinics, is a core and growing component of the overall GTN value chain.

Manufacturers are managing 340B amid Medicare drug price negotiations, potential future pricing models such as most-favored-nation (MFN), and growing scrutiny of 340B claims-level data requirements. These pressures are increasing the need to identify discount discrepancies and optimize revenue. Model N’s 2026 State of Revenue Report found that only 1% of life sciences revenue leaders have real-time visibility into 340B discounts, Medicaid and Medicare rebates, and utilization rebates.

Kalderos’ Truzo solution directly addresses these challenges through an end-to-end drug discount management platform that provides real-time data visibility across multiple drug discount programs, enabling effective compliance monitoring, claim validation, and dispute resolution between manufacturers and covered healthcare providers. The added 340B data also strengthens Model N’s advanced analytics strategy, giving manufacturers more complete information across the revenue lifecycle.

“Model N delivers the commercial platform life sciences leaders rely on to expand market access, optimize revenue, and maintain compliance,” said Bret Connor, CEO at Model N…

Full release here, originally announced June 17th, 2026.

< + > How to Migrate Your Healthcare Infrastructure Without the Disruption

The following is a guest article by Kelly Goolsby from Nexcess

If you run a healthcare practice or health platform, your infrastructure is likely overdue for an honest evaluation. It’s not cracked or broken; it’s just that it kept chugging along while the technology and regulatory environment evolved around it. Ultimately, you will need to migrate. The choice is whether you do it on your own terms or wait until an emergency forces your hand.

Let’s look at what a planned migration actually takes, and how to execute it smoothly.

Establish Your Baseline

Before drawing up a migration plan, you need a clear inventory of your current setup. What software versions are you running? Which ones are still actively supported by vendors? What hasn’t been audited in the last year? While these questions seem basic, most practices can only answer them partially. This isn’t due to negligence; it’s simply because quiet, working systems rarely demand attention.

However, risk quietly accumulates in the gap between a system that is merely running and one that is actively maintained. Knowing exactly what is in your environment, as well as its forward lifecycle, is what transforms a migration from a chaotic emergency into a predictable project.

Planned vs. Forced Migrations

Migrations have a bad reputation, but it’s largely undeserved. While concerns about downtime, cost, and operational continuity are valid, they are entirely manageable if you address them upfront.

Take downtime, for example. A well-executed migration runs the old and new environments concurrently. This means any eventual cutover downtime is minimal, scheduled, and communicated well in advance so there are no surprises for your staff or patients.

Cost is another major factor, but inertia carries its own financial risks. Staying put leaves you exposed to compliance penalties on unsupported systems, broken integrations, and compounding technical debt that makes future upgrades even harder. With a planned migration, expenses are predictable; with a forced migration, they rarely are.

Finally, maintaining operational continuity comes down to clear documentation. When you map out the process before turning anything off, your internal team and your migration partner know exactly who handles what. The anxiety surrounding migrations usually stems from a lack of planning, and clear documentation completely eliminates that uncertainty.

Build a Forward-Looking Roadmap

An effective migration roadmap goes beyond a basic upgrade list. It should be a strategic document that you can confidently present to a CFO or compliance officer. It needs to be broken into distinct phases with realistic timelines, accounting for future growth like new locations, incoming integrations, and shifting compliance standards.

Successful healthcare practices treat infrastructure upgrades like any other major business initiative, ensuring clear milestones, assigned budgets, and a defined parallel-running period to guarantee a seamless handoff.

Before signing with a technology partner, ask them to walk you through their methodology in detail. Find out exactly how they handle concurrent environments, how they communicate downtime, and what their escalation path looks like when unexpected issues arise. Vague answers at this stage are a major red flag.

Maintaining Momentum Post-Migration

Reaching a modern, supported infrastructure is a great milestone, but the work doesn’t stop there.

In healthcare, patch management must be a continuous process, not a reactive fix. Your BAAs, patch histories, and access logs should always be organized and accessible before an auditor requests them. That way, when the next major security vulnerability is announced, the systems powering your patient portals, revenue cycle management (RCM) platforms, and scheduling tools are already protected.

Ultimately, infrastructure management isn’t about setting it and forgetting it; it’s about eliminating the element of surprise.

Kelly Goolsby is with Nexcess, a managed hosting platform that provides HIPAA-compliant infrastructure and migration support for specialty practices, regional health centers, and healthcare SaaS platforms.

Ready to build your migration roadmap? Let’s talk.

< + > H1 Receives $40M Investment in Round Led by CVS Health Ventures | Lassie Raises $35M Led by Andreessen Horowitz

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.

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H1 Receives $40M Investment in Round Led by CVS Health Ventures

H1 Helps Healthcare Players Transform Operations with AI

H1 recently received a $40M investment in a round led by CVS Health Ventures, the venture capital investment platform of CVS Health dedicated to driving health care innovation and digital disruption. The investment follows several successful projects that CVS Health and H1 have collaborated on, including a new AI model leading to a substantial improvement in health care provider directory accuracy, helping people connect with health care providers more quickly.

“CVS Health has a long-standing commitment to improving access to care, and this collaboration represents another step in our mission to develop industry-leading solutions that simplify the healthcare experience,” said Justin Brock, Partner at CVS Health Ventures. “We are excited to see how H1’s data and AI capabilities can further drive efficiency and improve the consumer experience across the healthcare ecosystem.”

H1’s mission is to connect the world to the right doctor. The company is known for its AI-powered platform that helps identify and engage the right doctors for critical workflows across pharmaceutical, health plan, health system, and technology companies. 85% of the top 20 pharma companies and 9 out of 10 of the top health plans are H1 customers. The fast-growing company is profitable and well on its way to operating as an above Rule of 40 company in 2026.

“This collaboration with CVS Health Ventures further enables H1 to achieve its mission of connecting the world to the right doctor,” said Ariel Katz, Co-Founder and CEO at H1…

Full release here, originally announced May 28th, 2026.

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Lassie Raises $35M Led by Andreessen Horowitz to Build AI for Small Businesses to Run Themselves

Founded by Early Robinhood and Superhuman Product Managers, Lassie is Working on Autonomous Systems that Handle the Busywork

Currently Operating in 700+ Small Businesses Across 49 States, Providing Business Owners with Over 250,000 Hours of Labor Each Year

Lassie, the company building autonomous systems to run small businesses, announced it has raised $35 million in Series A financing, bringing its total capital raised to $47 million. The round was led by Andreessen Horowitz (a16z) with support from Night Capital, Rahul Vohra, Founder and former CEO at Superhuman, Zach Perret, Co-Founder and CEO at Plaid, Taavet Hinrikus, Co-Founder and former CEO at Wise, Gokul Rajaram, and Brian Balfour, Co-Founder and CEO at Reforge.

AI can do a lot today. It writes software, passes bar exams, and generates realistic videos from simple prompts. But it can do so much more. It can help millions of small business owners by handling their busywork. Up until now, software has not removed this painstaking administrative work and has merely rearranged it. For the first time, software can interpret messy context, move across the endless systems that small businesses have, and do that work for an owner.

Nowhere is this more apparent than in doctors’ offices, the largest type of small businesses behind retail and food and beverage. A typical practice loses 100+ hours a month to administrative work and spends roughly $200,000 a year on staff that owners can barely find, let alone keep.

Today, Lassie’s agent goes into a practice’s insurance portals, pulls reimbursements, reconciles them against records, updates the system-of-record, and verifies the funds in the bank. Operating in more than 700 practices across 49 states, Lassie currently provides businesses owners with over 250,000 hours of labor each year.

“Small business owners should be freed up from doing busywork, so they can focus on what they are passionate about,” said Steijn Pelle, Co-Founder and CEO at Lassie…

Full release here, originally announced June 3rd, 2026.

< + > Bonus Features – June 28, 2026 – Third-party failures disrupt operations at 85% of practices, nearly 60% of nurses say their tech training falls short, 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.

Stats

• A Carrington College survey found nearly 60% of nurses report falling short of full technological preparedness in their daily roles, though more than 86% say technology has improved overall efficiency.
• A LeanTaaS report found 44% of cancer center leaders believe AI and advanced technology would help supporting scheduling and capacity management.
• Research from Omega Systems found 85% of healthcare practices experienced at least one operational disruption caused by a third-party failure in the past 12 months.

Partnerships

• Oracle Health and Theator are collaborating to capture and analyze surgical video footage and cross-reference EHR data to automate reporting.
• The network of digital health solutions from Solera Health is now available to members of Personify Health, a third-party administrator.
• Insurer Sun Life U.S. is collaborating with Medzown, a precision medicine company, increase access to clinical trials for employees at self-insured employers.

Products

• Ambience Healthcare introduced Nursing Summary and Ambient Flowsheet Documentation to its clinical AI platform.
• Atalan launched Atalan for Nursing to help health systems strengthen nurse retention and improve workforce stability.
• Applied behavior analysis provider Centria Autism unveiled the Family Connect App to help parents support their child’s care at home.
• Infinitus Systems announced Clinical Escalations, a risk detection system to ensure AI agents appropriately triage patients.
• Kayentis launched an interactive clinical trial consent module for its electronic Clinical Outcome Assessment platform.
• Redox launched AI capabilities integrated across Redox Engine, its data interoperability platform.
• Revecore launched Revecore ReClaim, an AI-powered RCM and revenue recovery platform.
• Independent practice EHR vendor Sevocity launched Sevocity Ambient Listening powered by Suki.
• Vasion announced Intelligent Print Automation to route documents to the appropriate print and scan environments.
• Zelis announced Zelis NSA Claim Advantage to help payers manage Independent Dispute Resolution complexity under the No Surprises Act.

Implementations

• Effective July 1, CRISP Shared Services will be the platform for Florida Health Information Exchange.
• New Jersey’s Rutgers School of Nursing selected Caregility to support virtual care training in undergraduate nursing education.
• Advanced Dallas Hospital & Clinics selected CareRev to provide flexible work options for acute care nursing.
• Arizona Gastrointestinal Associates selected Century Health to help turn clinical data into research-grade datasets for patients with IBD and MASH.
• Houston Methodist deployed HealthLeap‘s AI-based nutrition risk identification platform.
• Virginia-based Sentara Health selected Infosys to support its AI enablement efforts.
• Alnylam Pharmaceuticals expanded its deployment of Komodo Health’s Marmot analytics platform.
• Texas-based The Center for Cancer and Blood Disorders expanded its collaboration with Reimagine Care to support patients receiving advanced cell therapies.
• Mount Sinai Health System is using Signal 1‘s AI Management Platform (AIMS) to centralize oversight of AI solutions.

Company News

• Clearsense’s 1Clearsense Platform is now available in AWS Marketplace to support application rationalization, decommissioning, and active archiving.
• Cardiac device management software company Murj expanded into Australia and New Zealand.
• UpDoc announced FDA clearance for its Software as a Medical Device solution that uses patient-facing LLMs.
• Population health management organization ZeOmega earned HITRUST CSF Certified status.

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 noon Eastern time on Thursday may not be included in Bonus Features until the following week.

< + > Weekly Roundup – June 27, 2026

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.

Epic Shares Details for First ERP Application in EpicOps. Aparna Sridhar at Epic’s EpicOps chatted with John Lynn about the benefits of integrating ERP functionality within the EHR, including better care coordination and fully integrated supply chain management. Read more…

Building Healthcare AI Infrastructure for the Next Era of Care. Harini Malik at AMD and Connie W. Hebert at Dell Technologies connected with John to talk about device management, governance, workflows, and access management as tools for breaking down silos of AI use. Read more…

Improving Coding, Billing, and Physician Satisfaction With a Scribe. Dr. Mustafa Ammar, CMO at Northern California’s Ampla Health, talked to John about personally testing Sunoh.AI for two months to show clinicians the benefits of a scribe designed specifically for healthcare use. Read more…

Life Sciences Today Podcast: Enriching Psychiatric Evaluations. Iris Shtein at Mentaily joined Danny Lieberman to talk about improving the intake process to get more patients the mental healthcare they need. Read more…

Healthcare IT Today Podcast: Failures. John and Colin Hung discussed the biggest policy, technology, and structural failures in healthcare, along with personal failures they’ve experienced. Read more…

Outdated IT Infrastructure Is the Hidden Valuation Risk in Physician Practices. In today’s M&A market, buyers place a premium on assets that can scale efficiently and integrate seamlessly into larger platforms. Unsupported, legacy technology can easily be a liability, said Andrew Colbert at Ziegler. Read more…

Where Technology Belongs in Mental Health – and Where It Doesn’t. Jessica Crain at Mindful Therapy Group said ambient listening in mental health should focus on plumbing, looking not at entire sessions but instead at signed notes and flagging potential gaps in documentation. Read more…

The Hidden Cost of Metric Inflation: When Analytics Dashboards Lose Operational Clarity. Dashboards crowded with competing metrics, filters, and priorities do the opposite of what they’re designed to achieve. Better structure and usability can bring clarity over time, noted Tanaya Amar. Read more…

Why Healthcare AI Governance Breaks Down After Deployment. Upcoming federal and state regulations assume health systems know what AI is running and who’s accountable for it. The organizations that hold up will treat post-deployment governance as part of the job, according to Pooja Walia and Rajat Rawal. Read more…

What to Look For in RCM Solutions for Radiology Practices. Key considerations include coding accuracy, workflow integration, and client support, according to Healthcare Administrative Partners. Read more…

This Week’s Health IT Jobs for June 24, 2026: Florida-based medical device company CONMED is looking for a CIO, while Houston-based consultancy Meriplex seeks a virtual CIO for healthcare. Read more…

Bonus Features for June 21, 2026: Only 14% of AI insights are fully integrated into decision-making processes, and only 41% of consumers say AI tools are helpful in healthcare interactions. Read more…

Funding and M&A Activity:

• Patient care navigation platform Garner Health closed a $100 million Series E round.
• Operating room workflow automation startup Shyld AI raised a $13.4 million seed round.
• AI-powered patient notetaking app maker Kin Health raised $9 million in seed funding.
• Mental health diagnostics startup Kivira raised $1.8 million in pre-seed funding.
• Innovaccer acquired the assets of CaduceusHealth, an RCM services provider.
• RCM and risk adjustment company ECLAT Health Solutions completed a management buyout from Gulf Capital, a private equity firm.
• Population health management company Azara Healthcare acquired Advocatia, a public benefits enrollment platform.
• Clinical technology platform PartsSource acquired SkillNet, a healthcare workforce management company.

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

< + > Enriching Psychiatric Evaluations with AI – Life Sciences Today Podcast Episode 67

We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Iris Shtein, Co-Founder and CEO at Mentaily. Due to limited resources and social misconceptions, only 44% of US adults are receiving the treatment they need. Patients endure long wait times due to traditional intake processes. Mentaily – a patented AI model – creates diagnostic intelligence with almost perfect accuracy by the DSM gold standard, before the patient’s first engagement with a clinician.

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

• Tell us about your journey.
• What does Mentaily do?
• Who are your customers?
• What’s your moat? What’s your superpower?
• What’s the business model? How do you capture value?
• What is the biggest anti-pattern in your industry today?

Subscribe to Danny’s newsletter to get strategic patterns for life science leaders building a defensible business.

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

• Apple Podcasts
• Spotify
• iHeartRadio
• Amazon Music
• Pandora
• YouTube

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!

< + > Shyld AI Raises $13.4M | Garner Health Closes $100 Million Series E at a $2.74B Valuation

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.

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Shyld AI Raises $13.4M to Expand Active AI Across U.S. Hospitals

Shyld AI, a healthcare technology company pioneering Active Intelligence for healthcare facilities, has raised a $13.4 million seed round, one of the largest early-stage rounds in the healthcare AI sector. The round was led by Aulis Capital and will fund expansion across U.S. health systems. Founded by brothers Mohammad and Morteza Noshad, the company is building a new category of Agentic AI systems that take real-time action inside hospitals.

While most healthcare AI remains ambient and passive, Shyld AI actively executes critical operational tasks across operating room workflows, patient safety, compliance, and infection control, reducing administrative burden on clinical and environmental services teams. In operating rooms, Shyld agents interpret case progression, turnover phases, staff movement, and delay drivers in real time. This enables optimization of disinfection timing between cases, identification of missing supplies before procedures, and reduction of bottlenecks that disrupt surgical schedules, improving efficiency while reducing costly delays.

Powering this capability is VERTEX, Shyld AI’s proprietary foundation model designed for edge-native, real-time agentic AI in physical environments. Unlike cloud-dependent systems, VERTEX runs directly on Shyld AI devices within hospital rooms, enabling continuous perception, reasoning, and action without latency or reliance on hospital IT infrastructure, while preserving privacy. This edge-first architecture ensures reliable performance in complex clinical environments and uninterrupted operation at the point of care.

The company’s flagship solution combines AI with UV-C light technology to autonomously disinfect hospital environments, targeting healthcare-associated infections that contribute to approximately 72,000 hospital deaths annually in the United States, according to CDC data. A Stanford University study published in the American Journal of Infection Control found that Shyld AI’s system reduced contamination by more than 93% compared to a control room, demonstrating measurable clinical impact.

CEO Mohammad Noshad stated, “We’re moving the industry from passive AI to Active AI technology that understands how hospitals actually operate and improves workflows in real time without adding burden to clinical teams…

Full release here, originally announced May 14th, 2026.

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Garner Health Closes $100 Million Series E at a $2.74B Valuation to Continue Addressing the Healthcare Quality and Cost Gap

Garner Partners with Almost 800 Leading Companies, Who See an Average 12 Percent Reduction in Annual Healthcare Spend

Garner Health, a leading digital platform that helps patients find the best healthcare providers using better data and smarter financial incentives, has closed a $100 million Series E round, led by Index Ventures with participation from existing investors including Kleiner Perkins, Redpoint, Thrive, Sequoia, Founders Fund, and Kaiser Permanente Ventures. The round brings Garner’s valuation to $2.74 billion.

The round reflects growing demand from employers, health plans, and health systems alike for better ways to help Americans find high-quality doctors while reducing healthcare costs. Garner partners with almost 800 customers, including USA Today, Paylocity, and the University of Oklahoma.

Garner’s gross annual recurring revenue is approximately $200M, and has more than doubled for five years in a row.

Alongside the financing, the company recently conducted a second tender offer for employees.

“Healthcare doesn’t change through incremental tweaks—it changes when consumers finally have the information and incentives they need to make better decisions about their care,” said Nick Reber, Garner Health CEO. “Our mission at Garner is to fundamentally realign the system around quality by empowering people to choose the doctors who deliver the best outcomes. When you give consumers the right data and align incentives around better care, the entire healthcare system will change for the better.”

“The American healthcare system pays doctors to do things to you, not for you. Garner is quietly fixing that,” said Jahanvi Sardana, Partner at Index Ventures…

Full release here, originally announced May 28th, 2026.

< + > Building the Healthcare AI Infrastructure Needed for the Next Era of Care

In a recent video interview with Healthcare IT Today, experts from two healthcare technology companies focus on the latest happenings with healthcare AI and the IT infrastructure to support it. Harini Malik, Global Strategic Biz Dev Head for Healthcare at AMD, and Connie W. Hebert, Healthcare Chief Nursing Officer at Dell Technologies are in a position to think long-term and look at developments across a broad landscape. They bring hardware as well as software into the picture, explaining the potential in recent chip development and its relation to healthcare’s utilization of AI.

Harini lays out an “end-to-end strategy” from the edge to the cloud. On the one hand, data centers have to have a modern infrastructure to handle AI and real-time requests. But there is also AI in endpoint devices: computer vision, imaging devices, embedded clinical equipment, and more. The FDA is approving AI-assisted medical devices. Hebert cites one use case: real-time AR/VR in surgery, which has to be physically next to the surgeon.

Both leaders emphasize governance. Harini calls for a “risk-tiered governance model” that determines where to put scarce resources. The needs of different departments must be balanced against resources and constraints imposed by regulations. Hebert says that an AI governance board is important, and advises organizations not to roll out AI until the board is in place. The governing managers know what was done before, what works, and what other organizations are doing.

Harini also talks about the importance of redefining workflows, establishing baselines, and defining measurable goals: metrics such as minutes saved or claim denials reviewed. Both speakers say that every healthcare organization has different priorities and use cases for applying AI.

Ironically, Harini and Hebert say that one goal should be to reduce the number of devices in the organization. Denser, more high-performing chips should allow organizations to modernize workflows and get more done with less equipment. They need a consistent platform that supports shared data access, unified identity management, and consent management.

Hebert describes the importance of a pilot program before deploying an AI solution, not only to make sure it works, but to assess security, cost, and required infrastructure support. Dell Technologies often helps healthcare organizations with pilots like this.

The winners in healthcare, Harini says, are the organizations that have the best data and the strongest governnance, as well as a scalable compute foundation. Hebert says that AI use today is still siloed, being applied to individual use cases such as patient safety. Harini and Hebert look forward to a future where an AI-powered, intelligent operating layer encompasses the whole enterprise, optimizing resource utilization, revenue, etc.

Watch our interview with Harini Malik from AMD and Connie Hebert from Dell Technologies to learn more about how to approach your IT infrastructure in this AI world we are now in.

Learn more about AMD: https://www.amd.com/en/solutions/healthcare.html

Learn more about Dell: https://dell.com/Healthcare

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< + > Where Technology Belongs in Mental Healthcare—and Where It Doesn’t

The following is a guest article by Jessica Crain, Co-Founder and Chief Operating Officer at Mindful Therapy Group

A microphone in the therapy room would probably make payers happy and help clinical and billing teams sleep better at night. It would also push some clients to look for care elsewhere and some clinicians to walk away from any setting that records their sessions.

That is the reality of AI in mental health. Technology vendors promise that one more “solution” will fix access, documentation, burnout, and quality. But what I hear from our 2,500+ providers is simpler: don’t turn therapy into a permanent, machine-readable transcript just to support the system. 

Digital tools undoubtedly have a real place in this work. They can help people find quality care for their needs and help practices keep their doors open in a hostile reimbursement environment. But the closer they get to the therapy relationship itself, the more the costs start to outweigh the benefits.

Consider ambient listening and transcription tools used during therapy sessions. These products are marketed to “free” the therapist from note‑taking. In the room, patients disclose painful, personal, and stigmatized truths. Knowing that every word is being recorded changes what some are willing to say. It also keeps the provider from using their own judgment about what belongs in the medical record. This poses real privacy concerns, undermines trust, and prevents full and honest disclosure. Mindfulness in therapy is a clinician’s ability to stay present with a client’s pain without flinching or reaching for a distraction. That presence strengthens the alliance. Research consistently finds that a strong alliance between therapist and client is one of the best predictors of good outcomes across therapeutic approaches, which is the ultimate goal.

The problem isn’t just privacy or data handling, though those matter. It’s what happens to trust if the client starts to feel the real audience is the tool, not the therapist. If we are solving for human connection, why does the human need a listening device to do their job? What I hear from our own providers is that they worry any use of AI during sessions will eventually train the models that could replace them. But instead of banning every tool outright, we need to design a system that centers providers and their relationships with clients.

However, rejecting every use of AI on principle would be its own kind of irresponsibility. The administrative burden on therapists, especially those taking insurance, is heavy and rising. Payers are already using sophisticated analytics and AI to scrutinize notes and claims. If we respond with manual audits and good intentions, we will lose, and providers will absorb the cost in clawbacks, delayed reimbursement, and burnout.

This is where technology should work hard: in the plumbing, not in the room. At Mindful Therapy Group, which is overwhelmingly insurance‑based, we have seen what happens when documentation doesn’t line up with payer standards. Claims are denied, payments are delayed, and access suffers. Manual review barely kept up with audits. Today, by embedding an AI‑driven chart‑review system into our workflows and EHR, we are building toward reviewing roughly 10,000 charts a month without adding staff. 

This system never listens to sessions. It only sees signed notes, with identifiers restricted to what is necessary, and flags potential gaps between what is documented and what payers expect. Clinicians can ignore suggestions, amend notes, or simply adjust future documentation. The tool does not practice therapy or make clinical decisions. It helps defend against payer scrutiny, not to judge the quality of human work.

Admittedly, some of our clinicians felt blindsided, questioning whether AI had any place in their practice at all. Others worried that using AI to “battle” payer systems would move us further away from the mission of psychotherapy. We heard them. We created an opt‑out path, tightened how we scope and redact data, and clarified our position: if AI touches their notes, it will be in the back office, not in the room, and they have a say in how it shows up.

The line for us is this: AI belongs wherever it makes care easier to find, to pay for, and to sustain. That includes billing, claims, documentation quality, and business insight. It does not belong in any role that quietly turns human disclosure into data exhaust for a model, or that replaces the hard parts of therapy: judgment, challenge, and accountability.

Early research on consumer chatbots is already showing why that matters, with publicly available “therapy” tools endorsing harmful or ill‑advised suggestions in a significant share of distressed teen scenarios. Surveys also suggest that anywhere from one in eight to one in four adolescents are already turning to AI chatbots for mental health support, often without adults realizing. Most of these tools still lack the guardrails we take for granted in real care: reliable crisis detection and escalation, clear boundaries and disclosure that “this is not therapy,” transparent data use and storage, and any meaningful informed consent. That is a much bigger conversation, and one I suspect we will all be having as more families discover that the first “listener” their teenager turns to is not a human at all. As a parent of teens myself, I do not just think about that as an operator. I think about it sitting at the dinner table, wondering if and when I should talk to my own kids about who they are really talking to about their struggles. Whether it is a chatbot on a teenager’s phone or an audit tool in a practice like ours, the same question applies: Does this technology serve human relationships, or does it start to replace them?

Mental healthcare does not need more technology for its own sake. It needs discipline about where technology genuinely serves the work and where it distorts it. The future platforms that earn clinicians’ and clients’ trust will be the ones running on a thick layer of AI in the back office and a very thin one at the point of care. The human relationship has to stay at the center. Everything else is optional.

About Jessica Crain

Jessica Crain is the Co-Founder and Chief Operating Officer at Mindful Therapy Group, where she leads operational strategy and multi-state growth across one of the largest provider-centered behavioral health platforms in the region. Over the past fifteen years, she has built the infrastructure, processes, and teams required to scale care in a fragmented and highly regulated environment, supporting thousands of clinicians across multiple markets. With a background as a Registered Nurse at the University of Washington Medical Center, Jessica brings a grounded understanding of clinical care to her operational leadership, approaching system design through both a systems and human lens. She is particularly focused on how technology, disciplined execution, and provider-aligned models can reshape access to mental healthcare in the U.S.

< + > ECLAT Health Solutions Completes Management Buyout from Gulf Capital | Innovaccer Acquires CaduceusHealth

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.

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ECLAT Health Solutions Completes Management Buyout from Gulf Capital, Opening Next Chapter of Growth

Management Buyout Follows Five Years of Partnership Marked by 10x Revenue and EBITDA Growth, AI-Enabled Payer Expansion and a 4,000-Person Global Team

ECLAT Health Solutions, a leading revenue cycle management (RCM), risk adjustment, and healthcare technology partner, today announced the completion of a Management Buyout (MBO) from Gulf Capital, one of the largest and most active private equity firms investing from the GCC to Asia. The transaction marks the close of a highly successful partnership and returns full ownership of ECLAT to its founders and management team.

Over the course of ECLAT’s partnership with Gulf Capital, the organizations worked closely to accelerate growth and build a differentiated healthcare services platform defined by scale, breadth, technology and long-term value. With Gulf Capital, ECLAT expanded its revenue cycle management service offerings and added payer-centric risk adjustment and technology solutions. This diversification, alongside continued expansion and market adoption of its leading RCM services, enabled ECLAT to grow its workforce from 450 to more than 4,000 employees across the United States, India and the Philippines, and achieve a tenfold increase in both revenue and EBITDA—representing a 75% EBITDA compound annual growth rate over five years.

“When we partnered with Gulf Capital in 2020, we had a clear vision for what ECLAT could become—and together we executed against that vision with focus, discipline and ambition,” said Karthik Polsani, Founder and Group CEO at ECLAT Health Solutions. “Gulf Capital was a true strategic partner throughout the journey, supporting us in strengthening our leadership team, expanding our capabilities and scaling the business to new levels of performance. This partnership helped transform ECLAT into a stronger, more resilient organization with a clear platform for long-term growth. As the founders and management team resume full ownership, we do so with pride in what we have built together and with great excitement for the next chapter of ECLAT’s evolution.”

Central to ECLAT’s growth is evaire, its proprietary AI and analytics platform. Powered by agentic AI and deep payer expertise, evaire enables end-to-end chart retrieval and review, risk adjustment coding, Confidence Scoring, payer analytics and more. ECLAT’s payer expansion and technology offerings—together with its core RCM services and highly qualified clinical coding teams—position the company for its next phase of growth and innovation in a rapidly shifting healthcare landscape.

“Over the past several years, we have significantly professionalized and scaled the organization—building robust operational processes, investing in talent and enhancing our service offering to better serve our clients,” said Sneha Polsani, Founder and COO at ECLAT Health Solutions…

Full release here, originally announced June 9th, 2026.

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Innovaccer Acquires CaduceusHealth to Make Revenue Cycle Autonomous

Innovaccer’s Fifth Acquisition Expands Flow Suite to Deliver End-to-End Revenue Cycle Operations for Ambulatory Care

Innovaccer Inc., a leading healthcare AI company, today announced the asset acquisition of CaduceusHealth, a nationally recognized revenue cycle management services provider. The acquisition expands Innovaccer’s Flow suite to full-stack revenue cycle capabilities, making Flow the first AI-native platform that unifies scheduling, patient engagement, and end-to-end revenue cycle management into a single operating layer for ambulatory care. This marks Innovaccer’s fifth acquisition and establishes Innovaccer as the leading AI company delivering a comprehensive agentic stack for health systems and provider groups.

Ambulatory practices, from primary care to specialty and multispecialty groups, are operating on infrastructure built for a pre-AI era. Manual workflows, fragmented systems, and human-intensive processes are compressing margins at exactly the moment when AI-native alternatives are becoming available. Healthcare providers face record rates of denials. Industry data suggests almost $20 billion is lost annually to avoidable denials alone and up to 65% of denials are never resubmitted because most providers simply lack the time and resources to fight back. Consolidation is accelerating, and the window for independent practices to modernize on their own terms is narrowing.

Founded in 1997, CaduceusHealth has spent nearly three decades managing the full complexity of provider billing, claims, and denial resolution across thousands of practices, dozens of specialties, and every major electronic health record system.

The acquisition accelerates Innovaccer’s Flow suite, bringing CaduceusHealth’s deep ambulatory RCM expertise and client relationships directly into Innovaccer’s agentic revenue cycle platform. CaduceusHealth’s U.S. based team serves nearly 4,000 providers and manages $5 billion in gross patient charges annually for leading healthcare organizations. The combination means ambulatory networks will no longer have to choose between human expertise and the scalability of AI automation. They get both on a single platform.

“We started Innovaccer with the belief that the people who went into healthcare didn’t sign up for administrative work,” said Abhinav Shashank, Co-Founder and CEO at Innovaccer…

Full release here, originally announced May 21st, 2026.

< + > Epic Shares Details for First ERP Application in EpicOps

One of the biggest announcements at last year’s Epic UGM was Epic’s decision to develop a fully native ERP application as part of the Epic software suite.  Epic has now taken the next step and shared information on the Teamwork Staff Scheduling application that has been rolled out in the EpicOps ERP solution.

To learn more about Epic’s efforts in the ERP space, Healthcare IT Today chatted with Aparna Sridhar, VP of EpicOps at Epic.  Check out our interview below to learn more.

Why did Epic decide to start creating ERP software that’s on the same system as the Epic EHR?

Aparna: Customers asked us to! Back in 2023, when I was a developer for patient scheduling, I was helping automate provider clinic schedules. Customers always asked, “What about providers who have clinic time, and round in the hospital, and do surgery?” For academics, that also includes accounting for training and research time. With workforce shortages, creating these schedules was a huge administrative burden—filling tens of thousands of shifts every staffing cycle and manually balancing department rules and clinician preferences. Additionally, customers needed several systems to be able to schedule different types of staff—like providers, nurses, and support staff—but none of those systems could integrate with their Epic assignment workflows.

So we created Teamwork to help organizations automate their staff scheduling in one place, using clinical data that already exists in Epic. In addition to staff, Teamwork can also handle scheduling for space, like exam rooms. We released that in November 2024 just as supply shortages, huge spikes in supply costs, and Medicaid cuts took hold; health system operating margins were running very thin, and our customers needed our help to run a lean and efficient operation.

We bring a focus on healthcare and deep integration across the health system that’s unique in the ERP market. So to help our customers, we’re moving forward to create EpicOps—a complete ERP suite built for healthcare.

You’ve rolled Teamwork Staff Scheduling as the first application in the EpicOps ERP, what are some of the main features and functions in Teamwork?

Aparna: Schedulers can use Teamwork’s Staffing Board to build a schedule, or they can let the Auto Assign feature generate a draft automatically—one that accounts for scheduling rules, staff capacity, and shift targets. Depending on the size and complexity of a schedule, that can save hours or even days of work per cycle.

Staff members can use the Shift Marketplace to check their schedule and swap or fill open shifts on the same device they’re already using for their other workflows in Epic. Nurses can self-schedule by signing up for shifts directly, and Teamwork also integrates with patient assignments, cross-unit staffing, float pool management, and census and workload predictions, so organizations can move nurses to where they’re needed at any given time. All that shift data feeds into other Epic workflows in real time—syncing with physicians’ Cadence scheduling templates, populating the On-Call Finder, updating statuses in Secure Chat, and keeping Urgent Care wait time predictions accurate.

Another major component of Teamwork is the Room Tracker, which helps schedulers monitor exam room schedules and track how room plans compare to actual utilization, so they can allocate space and time more efficiently.

Describe some of the benefits of having the EpicOps ERP solution in the same system as the EHR and other related functionality in Epic.

Aparna: Three things stand out:

4. • Faster care coordination with lower administrative effort—updating the on-call schedule for clinicians in real time is better for patient care because it improves care coordination, and clinicians love the ease of use.
   • Fully integrated supply chain—forecasting future needs based on upcoming case history takes the guesswork out of ordering, so health systems don’t end up wasting supplies or delaying patient care due to inventory gaps.
   • Financial data and clinical data all in one place. Health systems can consider cost within the context of clinical outcomes for better operational decision making.

Here’s another big advantage of a fully integrated supply chain: With a fully unified Item Catalog across the entire healthcare organization, recalls flagged at one site instantly reach other sites, alerting surgical staff and protecting patients while making it easier to replace the recalled items with approved substitutes.

Healthcare organizations continue to face tight operating margins and workforce and supply shortages. Operating more efficiently is more important than ever. That’s what EpicOps is all about.

What have been some of the results of having Teamwork for those healthcare organizations that are already using it?

Aparna: We’ve heard from early adopters that Teamwork helps them handle administrative overhead more efficiently and give clinicians more time to focus on patients. Building provider schedules is significantly faster. On-call updates that might have taken nearly an hour now happen right away. One organization was considering constructing more space, and with Teamwork they realized that they could continue serving their patient population by finding and using empty exam rooms more easily.

What’s the rollout plan for Teamwork for other Epic organizations that may be interested in it? 

Aparna: Our first five organizations are live and 11 others are actively installing, and so far, those installs have all gone smoothly—they’ve consistently finished on time and under budget, so we’re confident in expanding at a steady pace.

Teamwork already has a global footprint, and we’re expanding that with groups in the United Kingdom. When we implement Teamwork, we do so in waves of health system staff roles. The first roles usually go live in 3-4 months, and all roles are live in about 6-12 months.

What are the next areas of ERP that Epic plans to tackle after Teamwork?  What’s the future ERP roadmap look like? 

Aparna: The next EpicOps module, Time and Attendance, helps manage how staff hours are recorded, verified, and paid. The first organizations to use it will begin installing this fall and plan to go live in 2027. We expect it’ll reduce manual work on both ends of the payroll process. It creates staff timecards populated with scheduled shift information and adapts to changing situations: if a nurse floats to a different department, the right cost center is assigned automatically. And when a nurse steps away for a break, we can route coverage to another nurse and track time accordingly. Managers will be able to review and approve time logs with confidence that the data is already accurate.

In early 2027, we plan to release Credentialing and Cost Accounting. Credentialing will reduce the time it takes to onboard new providers and maintain credentials on an ongoing basis. Cost Accounting will connect operational spending to clinical outcomes, giving leaders a clearer idea of what procedures cost and how those costs correspond to patient outcomes.

Later in 2027, EpicOps will expand support for supply chain management—including inventory, procurement, and vendor management—alongside additional financial functionality: general ledger, budgeting, and accounts payable. Our plan is for EpicOps to ultimately bring workforce, supply chain, and financial management into a single healthcare-focused platform.

Does Epic plan to build out all of the ERP functions so a healthcare organization can replace their ERP or are there areas that Epic doesn’t plan to do that an organization will still need the ERP?

Aparna: EpicOps is made up of six applications: Teamwork, Credentialing, Cost Accounting, Supply Chain, Financials and Workforce (HR & Payroll).

Teamwork, Credentialing, and Cost Accounting can be installed as add-ons that can work alongside both their Epic system and their existing ERP. For example, Teamwork can send time and attendance data to a health system payroll system.

Supply Chain, Financials, and Workforce are designed to give health systems end-to-end ERP support with a healthcare focus and native Epic integration—these are meant to replace, rather than supplement, a general-purpose ERP.

Some scenarios will be supported over time, but not in the initial release. Health systems that share an ERP infrastructure with a university, for example, will need additional functionality like support for academic program management. Similarly, ERP support for standalone health plans, diagnostics, pharmacy, and other allied healthcare areas is part of our longer-term vision.

< + > What to Look For in Revenue Cycle Management Solutions for Radiology Practices

The following is a guest article by Healthare Administrative Partners

Radiology practices face mounting financial pressure from declining reimbursement rates, rising claim denials and increasingly complex billing regulations. These challenges require specialized billing expertise. Selecting the right revenue cycle management (RCM) partner can make the difference between stability and operational strain.

Why Specialized RCM Is Critical for Modern Radiology Practices

Radiology billing demands expertise that generic RCM services lack. The specialty involves complex imaging-specific coding, payer policies unique to diagnostic procedures and frequent regulatory changes affecting reimbursement.

Radiology practices commonly face several pain points that specialized RCM directly addresses:

• Declining reimbursement rates: Payer policies continue to tighten, reducing payment amounts for common imaging procedures.
• High claim denial rates: Complex coding requirements and prior authorization rules result in frequent rejections.
• Complex coding for radiology procedures: CPT codes for imaging studies require modifiers and documentation that generalist billers often mishandle.
• Administrative burden of in-house billing: Managing billing staff, staying current with regulations and handling appeals consumes valuable time and resources.
• Lack of visibility into financial performance: Without proper reporting systems, practices cannot identify revenue leaks or denial patterns.
• Keeping up with changing regulations: Compliance requirements shift constantly, creating legal and financial risk for practices that fall behind.

While some companies use software to navigate these challenges, others will use services.

Key Criteria for Evaluating Radiology RCM Vendors

When comparing potential partners, practice administrators should focus on certain capabilities that directly impact outcomes and operational efficiency.

Maximizing Financial Performance and Reimbursement

A quality partner should demonstrate proven ability to increase collections and reduce revenue leakage. Look for those who emphasize denial reduction strategies, aggressive AR follow-up and systematic claim scrubbing before submission.

The best providers track metrics like clean claim rates and collection timelines, using this data to continuously improve performance. Ask potential partners for examples of how they have increased collections for similar organizations.

Ensuring Coding Accuracy and Regulatory Compliance

Expertise in radiology-specific procedures is nonnegotiable. Your partner should employ certified coders who specialize in imaging and stay current with CPT, ICD-10 and modifier requirements.

Compliance knowledge protects your organization from audits, penalties and demands for overpayment recovery. Verify that the company has established quality assurance processes, regular audits and ongoing staff education programs to maintain accuracy as regulations evolve.

Evaluating Technology and Workflow Integration

Strong reporting and analytics capabilities provide the visibility you need to understand performance, identify denial trends and make informed decisions.

Evaluate how well the partner’s processes and technology integrate with your current workflow while maintaining operational continuity and minimizing staff retraining needs. Seamless integration with your existing practice management and radiology information systems ensures smooth operations.

Prioritizing Client Support and Partnership

The ideal partner acts as a strategic collaborator invested in your financial performance. Look for dedicated account management, responsive support teams and transparent communication about your results.

A collaborative relationship means the company proactively identifies issues and adapts its approach to your specific needs. Client references and satisfaction scores can reveal how well a company delivers on its promises.

The Best Radiology Billing Companies for 2026

The following radiology revenue cycle management vendors comparison review offers a starting point for your research. These companies have established strong reputations for serving imaging organizations.

1. Healthcare Administrative Partners

Healthcare Administrative Partners specializes in radiology and medical imaging, offering comprehensive RCM through physician practice coding and billing services, compliance-driven processes and consulting. Its partnership approach earned the team a 98.6% client score for professionalism. This reflects the company’s commitment to high-touch service and collaborative relationships that help maximize revenue while maintaining regulatory adherence.

Key features:

• Radiology-exclusive focus
• Compliance-driven process
• Partner-centric support

2. Hawthorn Physician Services

Hawthorn Physician Services provides revenue cycle management across multiple specialties, including radiology groups seeking comprehensive billing support. Its service model combines operational expertise with financial consulting to help healthcare providers optimize collections and streamline operations. The company’s multi-specialty approach allows it to serve organizations with diverse service lines beyond imaging.

Key features:

• Multi-specialty expertise
• Practice management
• Financial consulting

3. Acclaim Radiology Management

Acclaim Radiology Management specializes in diagnostic imaging centers and radiology groups, delivering billing services tailored to imaging facilities. Its offerings include credentialing support and MIPS reporting assistance, helping organizations navigate quality payment programs. The company serves both hospital-based and independent diagnostic facilities with specialized billing knowledge.

Key features:

• Imaging center billing
• Credentialing services
• MIPS reporting

Frequently Asked Questions

Below are some common questions to consider when researching revenue cycle management solutions.

What is the difference between RCM software and an RCM service provider?

Revenue cycle management software provides tools for your internal team to use for billing and claims processing. An RCM service provider handles the entire billing cycle, assuming responsibility for outcomes with the company’s experienced personnel.

How long does it take to switch RCM vendors?

Most changes take 60 to 90 days to complete. An RCM vendor can make this transition smooth by following best practices and keeping up-to-date documentation for further changes.

What KPIs should you track for the revenue cycle?

Essential metrics include days in accounts receivable, clean claim rate, denial rate and collection rate. These KPIs help identify problems before they impact your cash flow.

Choosing the Right Financial Partner for Your Practice

Selecting a revenue cycle management partner represents a strategic decision that affects your financial health for years to come. Use these evaluation criteria to assess potential vendors based on their ability to address radiology-specific challenges. Take time to thoroughly examine each candidate’s expertise, technology capabilities and commitment to partnership before making this important choice.

Healthcare Administrative Partners is a proud sponsor of Healthcare Scene.

< + > This Week’s Health IT Jobs – June 24, 2026

It can be very overwhelming scrolling through job board after job board in search of a position that fits your wants and needs. Let us take that stress away by finding a mix of great health IT jobs for you! We hope you enjoy this look at some of the health IT jobs we saw healthcare organizations trying to fill this week.

Here’s a quick look at some of the health IT jobs we found:

• Health Admin Services Analyst – Accenture
• Chief Information Officer – CONMED Corporation
• Patient Financial Representative Senior – Patient Financial Services – CHRISTUS Health
• VP IS Business Operations – Children’s Health
• ROI Medical Records Specialist – MRO
• Patient Advocate Data Entry I – Myriad Genetics
• Medical Revenue Specialist – Preston Hollow Psychiatry Group
• Privacy Analyst I – R1 RCM
• Community Health Worker (NCOR) – Arkansas Children’s
• Patient Care Representative – Sentara Health
• Implementation Specialist – CuraLinc Healthcare
• Epic Analyst – Revenue Cycle – HTC Global Services
• Community Health Worker – Hackensack Meridian Health
• VP, Data Sciences – Waystar
• Patient Service Representative – Tenet Healthcare
• Population Health Specialist I – Network Health WI
• Regional Director, Healthcare Technology Management – Community Health Systems
• Medical Records Specialist – Genpact
• Virtual Chief Information Officer (vCIO) – Healthcare – Meriplex
• Director – Information Systems Analytics & Reporting – Woman’s Hospital

If none of these jobs fit your needs, be sure to check out our previous health IT job listings.

Do you have an open health IT position that you are looking to fill? Contact us here with a link to the open position and we’ll be happy to feature it in next week’s article at no charge!

*Note: These jobs are listed by Healthcare IT Today as a free service to the community. Healthcare IT Today does not endorse or vouch for the company or the job posting. We encourage anyone applying to these jobs to do their own due diligence.

< + > How Healthcare Analytics Dashboards Lose Operational Clarity: The Hidden Cost of Metric Inflation

The following is a guest article by Tanya Amar, Senior BI & Insights Analyst at eHealth

Picture this: you’re a data analyst leading a dashboard project for a major healthcare organization. The goal is straightforward: build a dashboard that tracks operational KPIs such as patient satisfaction, appointment utilization, patient access trends, and operational efficiency.

You build the first version and walk a few operational stakeholders through it. At first, the conversation goes exactly as expected. Stakeholders provide feedback and suggest adjustments.

Then the requests start growing.

One stakeholder asks for appointment utilization to be broken down further by region. Another wants patient access metrics segmented by service line to better understand scheduling bottlenecks. Someone else asks whether referral trends can be layered into the dashboard to better connect operational performance with patient intake patterns.

Then marketing joins the discussion. They want visibility into outreach campaign performance, referral source trends, and patient acquisition patterns alongside the existing operational metrics. Additional filters are suggested. New dashboard views are proposed.

Eventually, the dashboard starts drifting from its original purpose.

If you work in analytics or regularly rely on dashboards within a healthcare organization, this probably sounds familiar.

Over time, dashboards can become crowded with competing metrics, filters, and conflicting priorities. The result is often the opposite of what the dashboard was originally designed to achieve: operational clarity.

Over time, healthcare analytics dashboards can gradually become overloaded as new metrics, filters, breakdowns, and stakeholder requests continue accumulating.

When Dashboard Clutter Starts Affecting Decisions

Operational dashboards are expected to support fast and focused decision-making. As dashboards become increasingly crowded, teams can spend more time interpreting information than responding to it.

In healthcare environments, where speed and accuracy directly influence operational outcomes, that loss of clarity can become especially problematic.

The issue is not simply visual clutter. Over time, metric inflation can affect how organizations interpret priorities and respond operationally.

Why Well-Intentioned Dashboards Become Overcrowded

Part of the challenge is that dashboards rarely become overcrowded because of poor intent. In many cases, the opposite is true. The requests driving expansion are often thoughtful, relevant, and operationally useful.

Most of the requests being made are not unreasonable. The problem is usually created collaboratively through a series of well-intentioned additions that accumulate over time.

Every new metric feels valuable, and teams naturally want dashboards to answer more operational questions.

Once a KPI is added, organizations rarely want to remove visibility into it. Additional drilldowns and filters are introduced in an effort to extract more insight from the same report.

Over time, dashboards gradually evolve into catch-all reporting spaces.

Different stakeholders want visibility into the metrics most relevant to them. As more perspectives are added, dashboards can slowly lose the focal clarity that originally made them effective.

Overcrowded dashboards are often the result of expanding visibility without clear prioritization.

Designing for Operational Clarity

Avoiding dashboard overload is often less about tracking fewer metrics and more about how operational dashboards are structured, prioritized, and used.

In my experience, three principles can help maintain clarity while still supporting meaningful operational insight.

Anchor Metrics to Decisions

Every metric on an operational dashboard should answer a simple question: what decision is this helping someone make?

That is very different from asking whether a metric would simply be interesting to track.

Operational dashboards are designed to support timely, focused decision-making rather than display every measurable data point.

Separate Exploratory Analytics from Operational Reporting

Stakeholders naturally want to investigate why certain KPIs are changing through additional segmentation or filters.

Exploratory analysis remains valuable, but not all of that work belongs inside a frontline operational dashboard.

Operational dashboards provide quick visibility into priorities and performance, while exploratory analytics support deeper investigation. Combining both into a single reporting environment can gradually reduce clarity and usability.

Use Visual Hierarchy Intentionally

Not every metric within a dashboard should carry equal visual prominence. In operational reporting environments, dashboards are often used to support fast and accurate decision-making, which means users need clear visual focal points that help direct attention toward the indicators that matter most.

Critical metrics should stand out clearly, while supporting metrics remain secondary.

Without visual prioritization, dashboards can begin presenting every metric as equally urgent, making it harder for teams to identify where attention is actually needed.

Visual hierarchy also affects usability. As dashboards expand with additional filters, calculations, and supporting tables, reporting environments can become slower and more difficult to navigate.

Maintaining Clarity Over Time

Principles alone are not enough. Maintaining clarity over time also requires governance, alignment, and ongoing operational discipline.

Part of that starts with metric ownership. Clear ownership around KPIs and reporting structures makes it easier to evaluate why metrics are being added and whether they continue to support operational goals.

Stakeholder alignment matters as well. Without shared expectations around dashboard purpose and decision context, reporting environments can gradually expand in conflicting directions.

Review processes and periodic KPI reassessments can help too. As reporting needs evolve, they allow organizations to stay focused. Like operational products, dashboards require prioritization and occasional simplification to remain effective.

Without that level of governance and prioritization, dashboards can gradually expand faster than organizations can meaningfully interpret the information being presented.

More Information is Not the Same as More Insight

Healthcare environments are inherently complex, and dashboards can play an important role in supporting operational decisions when they remain clear, focused, and actionable.

That requires thoughtful simplification, intentional prioritization, and a willingness to resist continuous expansion simply because more data is available.

More data does not automatically create more insight. In many cases, it creates more confusion, slower interpretation, and additional operational friction.

If healthcare organizations want teams to respond quickly and confidently in high-pressure environments, dashboards should reflect organizational priorities rather than compete for attention.

The most effective dashboards are often the ones that preserve clarity as complexity grows around them.

About Tanaya Amar

Tanaya Amar is a data and analytics professional with experience building enterprise analytics infrastructure and AI-driven decision systems across healthcare, insurance and technology organizations, including eHealth, Align Technology and CVS Health. Her work focuses on strengthening trust, governance, and transparency in data-driven decision-making.