Sunday, June 28, 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

Partnerships

Products

Implementations

Company News

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



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Saturday, June 27, 2026

< + > 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:

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



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Friday, June 26, 2026

< + > 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:

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!



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< + > 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.

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.

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.



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Thursday, June 25, 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

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.

Dell Technologies is a proud sponsor of Healthcare Scene.



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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.



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< + > 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.

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.

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.



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< + > 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 ...