< + > Bonus Features – May 31, 2026 – 1 in 8 medical practices have deployed an AI receptionist, Teladoc Health teams up with Walmart, plus 21 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.

Studies

• The latest Data Breach Investigations Report from Verizon Business is here, and it found that system intrusion is healthcare’s top breach pattern. Attackers typically combine methods such as vulnerability exploitation, phishing, and credential abuse to gain access.
• About 1 in 8 medical practices have deployed an AI receptionist, according to a report from The Algorithm. Adoption is concentrated in practices with 4 to 10 providers, with solo practices and very large systems lagging.

Partnerships

• Demand-side advertising platform DeepIntent is partnering with Lane4.io, a supply-side platform for EHR and health media advertising. Plus, DeepIntent is partnering with epocrates, an athenahealth subsidiary, to bring point-of-care advertising into clinical workflows.
• Teladoc Health is now available through Walmart’s Better Care Services platform for a cash-pay price of $89 per visit.
• Wolters Kluwer Health announced a 10-year agreement to publish RSNA’s portfolio of five specialty journals. In addition, Wolters Kluwer Health launched a clinical AI validation framework to help support AI governance efforts.

Products

• Ambience Healthcare expanded chart-aware intelligence capabilities across its inpatient platform.
• CharmHealth launched CharmHealth Enterprise, a care coordination platform for large and rapidly growing medical groups.
• Clearsense unveiled a managed service provider offering for application rationalization and active archiving, building on a model developed in collaboration with Trinity Health.
• ConcertAI will unveil enhancements to its CancerLinQ Suite to provide real-world evidence for quality benchmarking and clinical research.
• Kythera Labs launched Wayfinder DataSync to give healthcare organizations a more complete view of patient movement.
• Clinical trial simulation company QuantHealth launched its predictive competitive intelligence solution.
• Talkie.ai released Smart Personalization, Conversational Scheduling, and Outbound Caller Agents to automate front-desk operations.
• Cardiometabolic care platform Twin Health launched its GLP-1 Stewardship Model, which has a goal of reducing patients’ long-term dependence on the drugs.
• WellSky announced the WellSky Point of Care app for Home Health, which integrates with the WellSky Home Health platform and is included for all current WellSky Home Health EHR clients.

Implementations

• Pennsylvania-based St. Luke’s University Health Network deployed Elisity for medical device microsegmentation.
• University of Pennsylvania Health System selected K Health AI agents to support virtual urgent care.
• Georgia-based Tanner Health selected Worki to support workforce operations, employee retention, and career mobility.

Company News

• Texas-based health information exchange C3HIE went live on TEFCA through connectivity with the eHealth Exchange QHIN.
• Utah Cancer Specialists selected AllyGPO and BioCareSD as its primary specialty group purchasing organization and specialty drug distribution partners.
• Tidepool’s Tidepool+ Direct Connect is now available through the Epic Showroom, bringing diabetes device data directly into Epic workflows.

People

• AI infrastructure vendor Caregentic made three executive appointments: Becky James as Chief Operating Officer, Matteo Carli as Chief Product Officer, and Sanjay Mahadi as Chief Technology Officer.
• Life sciences data discovery company Briya appointed Dr. Jonathan M. Samet as Chief Epidemiologist.
• Healthcare workflow automation company Penguin Ai appointed Nate Kiely as Chief Revenue Officer and Dan Wu as Head of Product.

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

< + > Weekly Roundup – May 30, 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.

Filling Point-of-Care Gaps in Behavioral Health. David Wilson at AdvancedMD joined Colin Hung to discuss the company’s eMAR solution and explain why electronic medication administration records matter for in-house behavioral health treatment. Read more…

Making AI and Value-Based Care Work in Rural Health Facilities. Pranam Ben at The Garage and Brittany Sachdeva at Cibolo Health told John Lynn the most impactful value-based care model operates as an extension of the care team, focuses on disease management, and uses AI to identify revenue opportunities. Read more…

Ambient AI Scribes Help Clinicians Spend Less Time Charting at Night. Cynthia Cox at Kentucky-based Family Health Centers talked to John about using Sunoh.ai in primary care and behavioral health, where many practitioners use the scribe to capture more than 90% of clinical notes. Read more…

Life Sciences Today Podcast: Introducing a Medical Writing Platform for FDA Submissions. Anita Modi at Peer AI joined Danny Lieberman to talk about cutting in half the time it takes to write complex medical documents for regulatory submissions. Read more…

Healthcare IT Today Podcast: Trends in Healthcare Marketing and Patient Experience. Hot on the heels of the Swaay.Health LIVE conference, John and Colin discussed where AI is changing behavior in seeking and getting care. They also debated AI’s impact on healthcare websites. Read more…

When Lower Cost-to-Collect Fails to Improve Cash Flow. Cost-to-collect doesn’t tell organizations whether they captured reimbursements they were entitled to receive, noted Sid Mehta at Access Healthcare. That’s why the focus must shift from operational cost to revenue realization. Read more…

Scaling Smart Hospitals Is Harder Than it Looks; Here’s What Actually Works. The technology is never the problem, said Alisha Moopen at Aster DM Healthcare. The challenge is that scaling requires a fundamental rethink of how care is designed, delivered, and coordinated. Read more…

Why Sleep Is the Obvious Starting Point for Digital Mental Health’s Physiological Layer. Colin Lawlor at Sleep.ai outlined how sleep tracking accuracy has evolved and why sleep matters for addressing mental health symptoms before they can increase the risk of depression or anxiety. Read more…

The Difference Between a Correctly Coded Claim and a Payable One. AI coding tools are trained on documentation patterns and audit logic, not the relationship between codes, said Dr. Jenakan Dev at Grelin Health. To fix this, organizations need to focus on how claims are constructed and validated. Read more…

HIPAA-Compliant Telehealth Requires a Flexible, Device-Agnostic Workforce. Enforcing consistent security policies can be challenging with remote contractors using personal or third-party devices, noted David Matalon at Venn. Isolating ePHI and healthcare applications inside a protected workspace can help. Read more…

This Week’s Health IT Jobs for May 27, 2026: Multiple organizations are looking for IT directors. Read more…

Bonus Features for May 24, 2026: 74% of compromised healthcare devices store EHR credentials; plus, 62% of organizations say legacy data archiving impacts patient care. Read more…

Funding and M&A Activity:

• Virtual specialty care platform 9amHealth announced $26 million in Series B funding.
• Clinical intelligence company Knit Health launched out of stealth with $11.6 million in seed funding.
• Investment firm Knox Lane acquired Cross Country Healthcare, a provider of healthcare workforce management technology.
• Roche acquired PathAI, which provides digital pathology technology for laboratories and the biopharma industry.

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

< + > Peer AI – Medical Writing Platform for FDA Submissions – Life Sciences Today Podcast Episode 63

We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Anita Modi, Co-Founder and CEO at Peer AI. Peer AI is a medical writing acceleration tool for pharma/biotech regulatory teams, now repositioning as a “submission platform.” The authoring piece is the real product — the orchestration and prediction layers are newer and almost certainly less mature. The April 14, 2026, press release announcing they’re “now a platform” is the tell: two weeks ago, they were a document-drafting tool, and the Command Center + query prediction capabilities are fresh additions being marketed ahead of their maturity curve.

The core wedge is medical writer productivity on large clinical documents for IND/NDA/BLA submissions. Every single attributed quote on their site is from a medical writer, head of medical writing, or regulatory VP — not from CMOs, not from heads of regulatory strategy, not from CEOs. That’s diagnostic. The buyer is a Head of Medical Writing at a mid-to-large biotech or pharma who is drowning in CSR and protocol drafts and can justify a tool that cuts 40-day drafts to 17.

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

• Tell us about your journey to Peer AI.
• You started with medical writing being your primary customers, but are you moving up the chain now?
• How do you create value for your customers?
• A 2014 survey found that the average delay for resubmissions took 435 days. Have things gotten better on their own by now?
• Do medical writers not write code anymore? Are they just writing specs for what they want to see as the end result?
• In your new version, you talk about predicting queries. Tell me about that, how is it working?
• How do you create value?
• Unlike other startups, the budget is already on the table for you. What is that like?
• What is your business model? How do you charge your customers?
• Do you primarily work with drugs, or do you work with device companies as well?
• What are three things you want to do for your customers in the next nine months?
• Let’s say I’m a specialty CRO in Philadelphia who specializes in neurodegenerative diseases. I have 10 medical writers on my staff, and I want to fire all of them and hire you. Could I do that?
• What is the biggest anti-pattern in your industry?

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

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

Thanks so much for listening!

< + > Why Scaling Smart Hospitals is Harder Than it Looks — And What Actually Works

The following is a guest article by Alisha Moopen, Managing Director and Group CEO at Aster DM Healthcare

Every health system leader I speak with has a smart hospital pilot they’re proud of. A connected room that reduced response times. A virtual monitoring tool that caught deterioration early. An AI-assisted workflow that impressed the clinical team and made it onto a conference slide. What far fewer of them have is a second floor that looks like the first.

That gap — between a successful pilot and genuine enterprise-wide transformation — is the defining challenge of healthcare’s digital moment. And after years of scaling connected care across one of the Middle East and South Asia’s largest integrated healthcare networks, I can tell you: it is almost never a technology problem. The technology works. The scaling doesn’t — because scaling requires something harder than a good proof of concept. It requires a fundamental rethink of how care is designed, delivered, and coordinated.

The Pilot Trap

Pilots succeed in controlled conditions. They have dedicated champions, focused resources, and the benefit of novelty. Enterprise rollouts inherit none of those advantages. Different units have different workflows, different cultures, different patient mixes — and technology that was shaped around one environment rarely transplants cleanly into another. I’ve watched health systems deploy the same platform across ten facilities and get ten different results, not because the platform failed, but because the implementation assumed uniformity that didn’t exist.

The workforce dimension compounds this significantly. When digital tools are added to clinical workflows rather than integrated into them, they don’t save time — they consume it. Clinicians already managing documentation burden, alert fatigue, and staffing pressures don’t need another system to check. They need technology that works the way care works: continuously, collaboratively, and without friction. Getting that right requires involving clinical teams not as end-users of technology decisions, but as co-designers of them. In my experience, that shift — from deploying technology to co-designing it with clinical teams — is consistently where adoption outcomes diverge.

Technology as Infrastructure, Not Addition

The framing I keep returning to is this: smart hospital technology should be infrastructure, not an addition. When a virtual monitoring system’s data doesn’t flow directly into a clinician’s existing decision workflow, it becomes noise. When a connected room operates independently of the EHR, its value is isolated. When digital and physical care pathways are designed separately, you don’t have a smart hospital — you have a regular hospital with expensive equipment in it.

At Aster Hospital Al Qusais — recognized on Newsweek’s World’s Best Smart Hospitals 2025 list, and a two-time recipient of the Best Technology Use Case Award from the Healthcare Management Awards — we approached this from the outset, differently. Generative AI was embedded into patient treatment workflows to streamline and error-proof clinical processes, not bolted on as an afterthought. And rather than deploying point solutions, we built connectivity into the patient room itself: Talab, our inpatient interactive communication tool, links caregivers, clinical teams, administration, and housekeeping in a single seamless interface — so that the room itself becomes a coordination hub rather than a passive space. None of these were standalone deployments. They were designed as a connected ecosystem, each capability reinforcing the others, so that digital coordination became the default mode of care rather than a parallel track running alongside it.

Build for Integration from the Start

The health systems I see scaling fastest made one decision early that others didn’t: they treated integration as a design constraint from the beginning, not a problem to solve later. Retrofitting digital systems into physical and operational infrastructure that wasn’t built to receive them is expensive, slow, and organizationally punishing. Every new technology requires its own bespoke implementation effort. Every workflow redesign happens after the fact. The compounding advantage goes to systems that are built with integration in mind — where each new capability layers onto a foundation designed to support it.

This matters practically as well as philosophically. Implementation costs for enterprise-scale health IT are significant, and organizations that absorb them repeatedly — because each deployment is effectively a standalone project — are not building smart hospitals. They are building costly patchworks that will eventually need to be rebuilt anyway.

The question I’d encourage health system leaders to ask isn’t “does this technology work?” The evidence that it works is abundant. The harder, more useful question is: “Does our infrastructure — physical, operational, and cultural — allow this technology to become the way we deliver care?” Systems that can answer yes to that question are the ones that move from pilots that impress to a transformation that sticks. That’s the difference that matters, and it starts well before the technology is ever switched on.

About Alisha Moopen

Alisha Moopen is Managing Director and Group CEO at Aster DM Healthcare, one of the largest integrated healthcare networks in the Middle East, operating 15 hospitals, 117 clinics, and 285 pharmacies across the UAE, Saudi Arabia, Oman, Kuwait, Bahrain, and Qatar.

< + > 9amHealth Raises $26M to Expand Into Chronic Conditions Driving the Majority of Employer Pharmacy Spend

After Generating More than $50M in Projected Medical and Pharmacy Savings Across Two Fortune 100 Employers, 9amHealth is Expanding Its AI-Driven Specialty Care Platform Beyond Cardiometabolic Care to Address the High-Cost Chronic Conditions that Account for Up To 70% of Employer Spend

9amHealth, a leading virtual specialty care platform, today announced $26 million in Series B funding led by Define Ventures, with new participation from SemperVirens VC, Catalio Capital Management, and NewHealth Ventures.

Since its founding, 9amHealth has rapidly emerged as a leader in virtual cardiometabolic care, partnering with large enterprise employers and leading pharmaceutical organizations to support people living with obesity, diabetes, hypertension, and hyperlipidemia. Through its integrated care model, which combines clinical protocols, labs, medication management, and continuous care, the company has delivered significant pharmacy cost savings amid rising demand for GLP-1 therapies while improving engagement and clinical outcomes.

Building on this foundation, 9amHealth has already developed the clinical infrastructure, care delivery model, and technology platform needed to manage complex, high-cost chronic conditions at scale. The new funding will support continued growth as the company expands its platform to address additional high-cost, specialty-level chronic conditions, which collectively account for up to 70% of employer pharmacy spend.

These conditions often require ongoing specialty medications, repeat interventions, and coordinated care, which represents the largest and fastest-growing portion of employer healthcare spend.

“What makes this possible is our ability to combine specialized clinical care with AI-enabled clinical workflows and personalized member experiences that allow us to scale efficiently across complex chronic conditions,” said Frank Westermann, Co-Founder and CEO at 9amHealth. “We’ve already proven this model in cardiometabolic care, and are now extending to a much broader set of high-cost needs.”

The Series B round was led by Lynne O’Keefe, Founder and Managing Partner at Define Ventures, who will join the company’s Board of Directors.

“We’re proud to partner with 9amHealth at this pivotal stage,” said Lynne O’Keefe. “They’ve demonstrated strong clinical outcomes and cost savings in one of the fastest-growing categories in healthcare. Their platform has the potential to transform how employers manage their most expensive populations.”

About 9amHealth

9amHealth is an AI-enabled virtual specialty care platform focused on managing high-cost chronic conditions at scale. The company partners with employers, health plans, and pharmacy benefit managers to deliver comprehensive, cost-effective medical care for individuals living with obesity, diabetes, hypertension, and dyslipidemia. Members receive access to specialized clinicians, including endocrinologists, obesity medicine specialists, and clinical pharmacists, at-home lab testing, prescription medications, and lifestyle support.

9amHealth was founded in 2021 and is backed by leading healthcare investors like Define Ventures, SemperVirens VC, 7Wire Ventures, and The Cigna Group Ventures.

Learn more at join9am.com.

Originally announced May 13th, 2026

< + > AdvancedMD’s New eMAR Fills Gap in Behavioral Health

Behavioral health doesn’t get enough funding or attention from us in healthcare. That’s why AdvancedMD‘s recent launch of an eMAR (electronic medication administration record) designed explicitly for this space is worth a closer look.

Healthcare IT Today sat down on camera with David Wilson, Vice President of Business Development at AdvancedMD, to discuss the origin of this new solution, how it fills a critical gap for mental health practices, and where the market is heading next.

Core Insight: As behavioral health practices bring intensive outpatient programs in-house to combat compressing reimbursements, they require specialized, point-of-care medication administration tools to remain compliant and profitable.

Filling the Point-of-Care Gap

In a typical outpatient setting, a prescription is written, and the patient fulfills the script at a pharmacy. However, for partial hospitalization or intensive outpatient programs, especially those offering medication-assisted treatment for substance use disorders, medication is often administered on-site, right at the point of care. This requires rigorous inventory tracking and DEA compliance reporting for controlled substances.

“eMAR is something that is really table stakes and a requirement for behavioral health groups who are engaging in certain types of programs,” explained Wilson. AdvancedMD recognized this specific gap in their otherwise robust behavioral health portfolio and built the eMAR as a fully integrated, modular component to help their clients successfully run these specialized programs.

Following the Shift to In-House Behavioral Health

The decision to build this solution was a strategic response to customer needs and not just about rounding out a product suite. Following a 2023 CMS policy change that opened up reimbursements for intensive outpatient programs, more behavioral health practices stopped referring patients out and started building these programs themselves.

Wilson noted, “We’re seeing more and more groups try to bring that service line or that business line in-house as a way to combat contraction in reimbursements and also as a way to provide better patient care.”

Fortunately, adopting the new tool isn’t a massive IT burden for these growing practices. “We don’t envision this being a multi-month implementation process,” shared Wilson. “We drop this in, and the practice now has the tools they need”.

What Healthcare IT Leaders Are Asking

How does a dedicated eMAR module impact our overall compliance and reporting posture? For organizations expanding into medication-assisted treatments, relying on makeshift tracking or standard EHR workarounds is a massive liability. A dedicated eMAR automates the heavy lifting of inventory tracking and regulatory reporting, specifically for closely monitored treatments. This reduces the administrative friction for clinical staff while ensuring the organization stays aligned with strict federal and state guidelines.

Does adding a new clinical module require a significant  retraining effort for the entire practice? Unlike core EHR replacements that disrupt an entire enterprise, modular eMAR rollouts are highly targeted. Because point-of-care medication administration is typically handled by a small, specific subset of clinical staff within a broader behavioral health practice, the technology only touches the people who actually need it. This focused implementation strategy accelerates adoption and keeps the broader organization focused on patient care without overwhelming the rest of the team.

Learn more about AdvancedMD at https://www.advancedmd.com/

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< + > When Lower Cost-to-Collect Fails to Improve Healthcare Organization Cash

The following is a guest article by Sid Mehta, President and Chief Growth Officer at Access Healthcare

Why yield is the difference between operating efficiently and getting paid correctly

Cost-to-collect is one of healthcare’s favorite metrics. Boards track it. CFOs benchmark it. Vendors build entire sales pitches around lowering it. And for good reason: knowing what it costs to run your revenue cycle is genuinely useful information.

Here is the problem nobody talks about enough. Many healthcare organizations improve cost-to-collect while cash performance quietly gets worse at the same time.

It’s not a rounding error. It’s a structural blind spot, and it is costing health systems real money.

A revenue cycle can operate cost-effectively and still lose millions in earned reimbursement through denials, underpayments, missed charges, authorization gaps, and unresolved patient balances. The organization may reduce the cost of performing the work yet still under-collect on earned revenue. Efficiency improved. Financial performance did not.

With margin pressure increasing across nearly every health system, organizations frequently prioritize aggressive operational cost reduction. While this focus is understandable, it stops short of the more important question: is the revenue cycle fundamentally protecting the revenue it was built to capture?

This is exactly where the distinction between cost-to-collect and cash-to-net patient revenue becomes worth understanding.

Cost-to-collect measures efficiency

Cost-to-collect measures the operational expense required to run the revenue cycle relative to total patient cash collections. The standard HFMA-aligned formula is straightforward:

Revenue cycle operating expense divided by total patient service cash collected.

Organizations rely on it because it is familiar, widely benchmarked, easy to communicate, and useful for identifying where administrative expense is running too high. Each of those considerations is valid.

However, cost-to-collect has a real limitation unreflective in the formula. It says almost nothing about whether the organization captured the reimbursement it was entitled to receive. It measures how inexpensively the work was completed. It does not measure whether the work protected the dollars at stake.

In today’s payer environment, this precise distinction matters more than it ever has.

The paradox healthcare leaders keep running into

The following scenario plays out more often than many organizations realize.

A hospital reduces billing costs by automating workflows, cutting staff, and shifting work to a lower-cost model. Operationally, it works. Cost-to-collect improves. Administrative expense declines. Productivity metrics look better on the dashboard.

At the same time, eligibility errors increase. Prior authorization gaps create payment delays. Underpayments go unreconciled. Denials sit longer before anyone follows up. Patient balances age without resolution.

So, the organization can say two things that are both completely true: our cost-to-collect improved, and our cash performance declined.

This illustrates the danger of optimizing efficiency focus metrics as a measure of performance. Efficiency asks how economically the work was completed. Financial performance asks whether the work protected and realized the revenue earned. Those are not the same question, and optimizing for one does not automatically improve the other.

Cash-to-net patient revenue measures whether you actually got paid

Cash-to-net patient revenue, commonly called yield, shifts the focus from operational cost to revenue realization. It measures actual cash collected against expected net revenue after contractual adjustments.

In plain terms: out of the revenue your organization realistically expected to receive, how much did you precisely collect?

Yield exposes things cost-to-collect cannot: denials, underpayments, authorization failures, documentation gaps, missed charges, and workflow leakage across the revenue cycle. And unlike efficiency metrics, yield cannot improve unless genuine financial performance improves. As a result, it serves as a much more reliable measure of whether the revenue cycle is functioning as intended.

“The industry is shifting from measuring administrative efficiency to measuring revenue realization,” said Sid Mehta, President and Chief Growth Officer. “Access Healthcare brings automation, operational expertise, and scale to move those numbers without overhauling what is already working.”

A simple example

Take a $100 claim. After contractual adjustments, the expected net reimbursement is $80.

In the first scenario, the organization collects the full $80. Yield is 100%.

In the second scenario, a denial reduces reimbursement to $76. Yield drops to 95%.

In the third scenario, multiple denials and rework reduce reimbursement to $68. Yield falls to 85%.

The charge did not change. The contract did not change. Operational execution changed. This is exactly what yield captures and what cost-to-collect never will: whether the revenue cycle delivered the dollars the organization earned.

Why this is a revenue defense problem

For years, most of the RCM market competed on operational efficiency. Lower labor costs. Offshore staffing. Transaction volume. Incremental automation. The messaging still dominates a lot of vendor conversations because cost reduction is easy to benchmark and easy to sell.

Seemingly running leaner does not automatically improve reimbursement performance. In most organizations, the bigger financial problem is not the administrative cost of processing claims. The bigger problem is the revenue disappearing through preventable leakage across the workflow.

Preventable denials. Incorrect payer reimbursement. Prior authorization gaps. Documentation inconsistencies. Delayed follow-up. Underpayment acceptance. Preventable write-offs resulting from process failure. Most of those losses do not appear in cost-to-collect. They appear in yield.

This is why revenue defense is becoming a more useful frame than operational efficiency for CFOs who want to understand where margin is going. Improving margins is not achieved by minimizing claims processing alone. You improve margins by protecting more of the revenue you truly earned.

When organizations improve documentation quality, reduce denials, strengthen authorization workflows, and identify underpayments before the window closes, two things happen at once: cash performance improves, and cost-to-collect often improves naturally as rework declines. Effectiveness drives efficiency. Chasing efficiency first rarely gets you to effectiveness.

What this means in practice

Healthcare organizations are entering a period where operational efficiency alone is not enough to sustain financial performance. Payer complexity keeps rising. Denial strategies keep evolving. Margins stay compressed. And AI adoption is accelerating on both sides of the transaction, with payers using their own automation to find reasons to reduce or deny payment faster than most provider teams can respond.

The organizations who can outperform in this environment will not necessarily be the ones processing claims at the lowest cost. They will be the ones capturing the highest percentage of the revenue they already earned through better workflow discipline, faster denial intervention, stronger authorization performance, more accurate reimbursement validation, and smarter automation built on top of stable operational foundations.

Cost-to-collect still matters. It is a legitimate operational benchmark and worth tracking. But if it is the primary lens your organization uses to evaluate revenue cycle performance, you are measuring the cost of the work without measuring whether the work is genuinely protecting your revenue.

Yield reveals this insight, and at present it is the more important metric.

About Access Healthcare

Access Healthcare delivers technology as a service, combining automation, analytics, and operational expertise to drive visible results. This summer, we’re introducing a new AI-Embedded RCM Operating Model focused on delivering smoother, cleaner workflows across the RCM cycle by utilizing the combination of AI, automation, and human expertise. If you’ll be at the HFMA Annual Conference, stop by booth #337 to talk more with us about the importance of Yield and how it can benefit your organization. If you’re not at the conference, reach out to us at Access Healthcare: https://www.accesshealthcare.com/about/contact

< + > Cross Country Healthcare to be Acquired by Knox Lane in All-Cash Transaction Valued at $437 Million

Cross Country Healthcare, Inc., a leading, technology-driven healthcare workforce solutions company, today announced that it has entered into a definitive agreement to be acquired by Knox Lane, a growth-oriented investment firm. Under the terms of the agreement, Knox Lane will acquire all outstanding shares of Cross Country Healthcare common stock for $13.25 per share in an all-cash transaction valued at $437 million. The transaction represents a premium of approximately 31 percent to Cross Country Healthcare’s closing price on May 6, 2026, and a 45 percent premium to the Company’s volume-weighted average trading price for the 90-day period ended May 6, 2026.

Upon completion of the transaction, Cross Country Healthcare will become a privately held platform company in Knox Lane’s portfolio and will cease trading on the Nasdaq stock exchange.

“We are excited to be working with Knox Lane, who brings significant and direct expertise in our sector to help Cross Country Healthcare enter its next phase of growth, while delivering significant and immediate value to our stockholders,” said Kevin Clark, Co-Founder, Chairman, and Chief Executive Officer at Cross Country Healthcare. “Knox Lane truly appreciates our iconic brand and the strength of our platform, especially the proprietary technology we’ve built on four decades of real‑world experience. That foundation uniquely positions organizations to design, predict, and optimize labor strategies with market‑leading precision. Just as important, Knox Lane recognizes the exceptional team behind it all, delivering best‑in‑class solutions to our clients and the thousands of professionals we proudly support every day,” he continued.

“Cross Country Healthcare is a longstanding leader and innovator in healthcare workforce solutions, with an unparalleled focus on delivering clinical excellence,” said John Bailey, Managing Partner at Knox Lane, and Shamik Patel, Partner at Knox Lane. “We are excited to leverage our extensive experience to bring added strategic focus and capabilities to the business to build on its already strong foundation, technology, and customer relationships.”

Transaction Details

The proposed transaction is expected to close in the third quarter of 2026, subject to customary closing conditions, including approval by Cross Country Healthcare stockholders and required regulatory approvals.

Upon completion of the transaction, the Company will continue to operate under the Cross Country Healthcare name and brand.

Additional details regarding the transaction will be included in a Current Report on Form 8-K to be filed by Cross Country Healthcare with the U.S. Securities and Exchange Commission (SEC).

Advisors

BofA Securities, Inc. is serving as exclusive financial advisor to Cross Country Healthcare, and Davis Polk & Wardwell LLP is serving as legal counsel. MTS Health Partners is serving as the exclusive financial advisor to Knox Lane, and Kirkland & Ellis LLP is serving as its legal counsel.

About Cross Country Healthcare, Inc.

Cross Country Healthcare, Inc. is a technology-driven healthcare workforce solutions company, delivering an AI-powered digital platform and advisory services backed by 40 years of healthcare labor expertise to help health systems optimize and sustain their entire labor ecosystem.

Through Intellify, its cloud-based workforce and vendor management platform designed to integrate with core hospital systems, Cross Country helps improve transparency across the labor ecosystem. Intellify unifies workforce management across service lines, including non-clinical, nursing, allied health, and locums, into a single, centralized view of internal and contingent labor. Powered by real-time analytics and AI-driven insights, the platform helps leaders forecast demand, optimize labor utilization, streamline workflows, and improve cost efficiency while supporting high-quality care delivery.

About Knox Lane

Based in San Francisco, Knox Lane is a growth-oriented investment firm comprised of a team of accomplished investors and operators with a shared work history and a strong track record of partnering with leading companies to accelerate transformational growth. Knox Lane employs an investor-operator mindset and seeks to provide support across a number of business components, including human capital, brand management, AI & end-to-end digital transformation, sourcing, supply chain and logistics, strategic acquisitions, and business development. For more information, please visit knoxlane.com.

Originally announced May 6th, 2026

< + > Making AI and Value-Based Care Work in Rural Health Facilities

Everyone knows that rural health care systems are stressed: costly populations, low reimbursements, staffing shortages, transportation problems—and the 900 billion to one trillion dollar cuts upcoming in Medicaid will severely add to those stresses. But rural providers also have advantages when it comes to the chances for transformation. In a recent video interview, we explore the opportunities in rural health, particularly the use of technology for value-based care with Pranam Ben, Founder & CEO at The Garage and Brittany Sachdeva, COO at Cibolo Health.

Ben says that 60% of health care payments already have some form of value-based modifier built into it, and credits this with reducing costs in the U.S. from an expected 6 trillion dollars to 5 trillion.

Rural organizations are often exceptionally strong at primary care delivery, but Sachdeva points out a towering challenge to value-based care for rural health: some 50% to 65% of costs are incurred in other facilities outside the ones used by patients for primary care. Technology solutions such as cleaner, well-integrated data and better coordination are required to make value-based care work.

What Sachdeva found is that the most impactful value based care strategy is when it’s an extension of the care team while still keeping the provider relationship central. Using Garage-generated prioritization lists in the background allows care teams to focus on the right patients without disrupting the provider-patient relationship.

The reality is that what works in urban markets often does not work in rural communities due to unique challenges around access, affordability, transportation, awareness, and social determinants.  On the positive side, Ben says, rural providers are very committed and have a “strong fabric” in their communities and are very resilient. They are not focused on maximizing the number of encounters. Furthermore, according to Sachdeva, it may be easier to implement new workflows at a small facility where there’s easier coordination and the staff trusts their leadership.

Both interviewees say that the $50 billion recently earmarked for improving rural health care in the Rural Health Transformation Program (RHTP) comes at a critical moment as communities prepare for the impact of the upcoming Medicaid reductions. Ben and Sachdeva suggested that this funding creates a great opportunity to use these funds to modernize infrastructure, virtualize care delivery, automate workflows with AI, train the workforce, and better position rural communities for long-term sustainability.

Ben says that the principle is to “focus on the right patients at the right time.” Value-based care means more screening and early disease management.  Sachdeva also emphasized that these investments impact the entire continuum of care and that payer partners must actively be part of these efforts.  Great payer partners are the key to being successful in value-based care.

This requires integrated data that is turned into “actionable insights.” Payer and provider data must be better integrated, perhaps requiring support at the state level.  Providers are operating with lean teams and need “one version of the truth” to focus on the patients that matter most within VBC contracts.

On top of a strong data infrastructure, AI can look through millions of patient records to identify revenue opportunities. Sachdeva points out that wearable devices can produce more accurate interventions by learning each patient’s personal baseline, instead of depending on “just what the textbook says is normal.”

Getting “rural-relevant” contracts is also important. AI can help reduce the manual labor of dealing with many contracts at many payers.  One of the largest barriers to successful VBC participation in rural markets is having enough scale and having payer relationships structured appropriately for rural organizations.  Cibolo and The Garage partnered together to help rural health organizations really address these obstacles.  Through this collaboration, the BlazeLink Contract Compliance Agent was born.

In our interview, Pranam noted that contracts can now be consumed by the agent in approximately 0.25 seconds on average and analyzed against millions of records to identify revenue opportunities. Given rural facilities often operate on extremely narrow margins, even recovering a fraction of the typical 3–6% of compromised revenue can materially impact sustainability.

Sachdeva shared that AI is becoming a necessity, not a replacement for providers. The “people” aspect of care cannot be removed. These technology and AI tools though can reduce the operational burden rural facilities face around contract compliance and understanding reimbursement methodologies.

Learn more about what’s happening in rural health to address the challenges, making rural health’s value based care efforts successful, and how technology can help in these efforts in this interview with The Garage and Cibolo Health.

Learn more about The Garage: https://www.thegaragein.com/

Learn more about Cibolo Health: https://cibolohealth.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.

The Garage is a proud sponsor of Healthcare Scene.

< + > This Week’s Health IT Jobs – May 27, 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:

• Director of Information Technology – Trace Medical
• Data Specialist I – Nursing Administration – CHRISTUS Health
• Senior Director Systems Engineering – WellSpan Health
• Director of Network & Technology Resilience – TransMedics, Inc.
• Medical Biller – Epic
• Health Information Tech II – Health Information Services – Health First
• Vice President of IT – Avance Care
• Credentialing Coordinator – Revenue Cycle – UPMC
• US Oncology Practice Technology Director – McKesson
• Senior Director, IT PMO – Labcorp
• Patient Financial Representative – Patient Financial Services – CHRISTUS Health
• Technology Director, Billing and Enrollment – Medica
• Program Administrator GME – HCA Healthcare
• Patient Care Specialist – Community Events – Sentara Health
• Director, Data Systems and Clinical Programming – Alumis
• Health Information Specialist – Evara Health
• Senior Director of IT Operations – Vivie
• Patient Experience Representative II – MultiCare Health System
• Director, Configuration – Versant Health
• Associate Director, IT End User Services – BioSpace

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.

< + > Sunoh.ai’s Ambient AI Scribe Helps Clinicians Spend Less Time Charting at Night

Family Health Centers in Louisville, Kentucky adopted the ambient note-taking tool from Sunoh.ai to cut down on doctors’ filling out notes during family times in the evenings and even way into the night. In this information-rich interview, Chief Clinical Informatics Officer Cynthia Cox discusses how Family Health Centers adopted Sunoh.ai and the main ways it’s helped them on this key goal and others.

The initiative came about after a few doctors heard of ambient scribes and wanted to try it. The health center started by offering the tool to these doctors, but then realized it had a great opportunity to reach out and introduce it to other doctors experiencing burn-out. A demo video of the tool in action was enough to persuade many to use it. Family Health Center EHR trainers came into the practice to work side-by-side with doctors, training them on Sunoh.ai. And the doctors are happy with the change with many of them using the scribe for more than 90% of their notes.

The departments currently using the scribe are primary care and behavioral health. The latter department has unique needs for recording interviews which are longer and more in depth.  This required a special effort from the team at Sunoh.ai to make it work effectively. Cox hopes to have their women’s health and pediatrics clinicians using the scribe soon.

According to Cox, one of the most important traits of Sunoh.ai is it’s ability to handle Spanish.  Spanish is spoken by most of the 41% of patients who are non-native English speakers and is also used by some doctors during the visit.  This allows a patient to speak in the language their most comfortable while still capturing the information for the clinical note in English.

Cox also noted that Sunoh.ai can focus on what’s important in the visit. Casual chat about non-essential subjects is left out of the note, but important points are documented and sometimes in more detail than the doctors were doing before Sunoh.ai.

She hopes that Sunoh.ai in the future will help with more of the discrete data that is needed, as Family Health Centers is a federally qualified health center. She also says it could offer more support with pulling in templates for structured data.

Watch our interview with Family Health Centers to learn more about their experience with the AI medical scribe, Sunoh.ai.

Learn more about Family Health Centers: https://www.fhclouisville.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.

 eCW is a proud sponsor of Healthcare Scene.

< + > Knit Health Launches with $11.6M Seed to Build Clinical Intelligence AI for Healthcare

UC Berkeley Spin-Out Builds AI that Learns from Real Clinical Decision-Making

Knit Health, a health tech company spun out of the University of California, Berkeley, developing collective clinical intelligence, today launched out of stealth with $11.6 million in seed funding. The round was co-led by Uncork Capital and Frist Cressey Ventures, and the pre-seed round was led by Moxxie Ventures, with participation from Coalition Operators. The funding will accelerate deeper development and deployment of Knit Health’s Large Clinical Behavior Model (LCBM) across health systems, helping optimize clinical operations and elevate patient care.

Much of AI in healthcare today relies on large language models primarily trained on text or published literature to support clinical operations and decision-making. This approach overlooks collective clinical intelligence: the patterns of real-world decision-making and coordination embedded in referral habits, scheduling practices, and the informal ways clinicians navigate complex institutions. This knowledge is what ultimately drives better outcomes, ensuring patients are routed to the right care, at the right time, with the right information.

Knit Health is addressing this gap as it builds its LCBM trained on Truveta EMR Data from over 130 million patients across 30 U.S. health systems. Using deep reinforcement learning, causal inference, and behavioral cloning, the model learns directly from clinician decision-making patterns and applies that insight across operational and care delivery workflows – enabling providers to deliver faster, more informed, patient-specific care pathways.

“Much of what matters most in medicine isn’t written in textbooks, it’s learned through experience with time and navigating the healthcare system,” said Jonathan Kolstad, Co-Founder and CEO at Knit Health. “Across millions of patient journeys, clinicians develop patterns for what to do next and when. Knit learns from those real-world decisions, transforming collective clinical experience into intelligence that improves how the system works.”

Knit Health’s approach differs from traditional systems in several key ways:

• Building to a Behavioral World Model: Knit’s LCBM learns from observed sequences of clinical decisions, enabling it to reflect how care actually unfolds in practice rather than producing probabilistic text
• Health System-Specific: Knit fine-tunes to each health system’s practice patterns, capacity constraints, and referral dynamics, allowing it to integrate seamlessly into existing operations and deliver measurable impact from the outset
• Infrastructure Layer to Drive Health Systems: Knit sits beneath every routing decision, every discharge prediction, every care team allocation, every referral, and eventually every clinical workflow that touches a patient; this drives intelligence across the systems

“Knit Health is creating a new approach to AI. Unlike traditional models, it learns and evolves from real human behavior and can be applied across complex systems,” said Tripp Jones, General Partner at Uncork Capital. “This approach redefines how intelligence is captured and scaled, opening entirely new possibilities for AI-driven innovation in healthcare.”

“The hardest challenge in healthcare isn’t knowing what good care looks like; it’s delivering it consistently for every patient,” said Navid Farzad, Managing Partner at Frist Cressey Ventures. “Knit Health’s model embeds the best clinical intelligence directly into the workflow, helping clinicians make better decisions faster and more consistently. At scale, this will improve patient outcomes and transform clinical operations across health systems.”

Knit Health is built with full HIPAA compliance – rigorous governance, bias testing, and continuous monitoring to ensure guidance that patients and providers can trust. The company is partnering with health systems to deploy its initial models for triage, patient flow, and quality improvement. Through these collaborations, Knit aims to become the irreplaceable infrastructure layer that every clinical decision runs on.

Learn more about Knit Health here.

About Knit Health

Founded in 2025, Knit Health is building AI that captures collective clinical intelligence to become the infrastructure for better healthcare. Knit Health’s founders are a team of University of California, Berkeley researchers and academics and together, they bring deep expertise across behavioral economics, causal inference, generative AI, and healthcare. Knit Health was born from their shared vision to harness the capabilities of generative AI in a way that reflects the human behavior and collective intelligence that defines medicine.

Originally announced May 12th, 2026

< + > Trends in Healthcare Marketing and Patient Experience – Healthcare IT Today Podcast Episode 193

For the 193rd episode of the Healthcare IT Today Podcast, we are talking about trends in healthcare marketing and patient experience! We kick this episode off by discussing how we think the healthcare website is changing this year. Then, we debate where we think AI is affecting how patients seek and receive care. Next, we share the marketing message that surprised us at the Swaay.Health LIVE conference. Lastly, we conclude this episode by talking about our key takeaways from Swaay.Health LIVE that we think health IT leaders need to know.

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

• How is the healthcare website changing in 2026?
• Where is AI changing how patients seek and get care?
• What marketing message surprised you at the Swaay.Health LIVE conference?
• What are the key takeaways from Swaay.Health LIVE that Health IT leaders need to know?

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

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

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

• Apple Podcasts
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• Pandora

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

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

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

Thanks so much for listening!

Listen to Our Latest Episodes:

< + > Why HIPAA-Compliant Telehealth Requires a Flexible, Device-Agnostic Workforce

The following is a guest article by David Matalon, Chief Executive Officer at Venn

Telehealth has expanded access to care and fundamentally changed how healthcare organizations deliver services, with projections suggesting telehealth may account for up to 30% of U.S medical visits in 2026. Behind every telehealth appointment is a broad workforce that includes coders, billing specialists, insurance professionals, and contractors – most of whom work remotely, hybrid, or even offshore. This increasingly blended workforce reflects real changes in how care and support services are delivered. As more people rely on telehealth services, there’s a growing demand for professionals enabling virtual care – as well as solutions that ensure data remains secure across these distributed workforces.

However, traditional security model approaches – such as shipping corporate-managed laptops to onboard this distributed workforce, or virtual desktops which rely on remote hosting, are too slow and complex to support the speed and scale needed. This current mismatch is fueling the need for a more flexible, device-agnostic security model that will enforce compliance without restricting how and where work gets done.

Ensuring HIPAA Compliance Across a Distributed Workforce 

With 73% of healthcare leaders expecting half of their workforce to be hybrid in 2026, maintaining HIPAA compliance across diverse devices and environments will be critical for protecting patient data. It’s well known that HIPAA requires organizations to implement safeguards that include strong policies and controls that prevent the unauthorized access, use, or disclosure of electronic protected health information (ePHI). As a default, these responsibilities extend to anyone who accesses this data, including contractors, vendors, offshore workers, and other business associates.

For healthcare organizations, enforcing consistent security policies can be challenging with remote contractors using personal or third-party devices that companies don’t fully control or manage. For an industry severely understaffed, maintaining a high level of control and consistent protection for ePHI is difficult. Without strong access controls and monitoring, the risk of unauthorized access or disclosure increases. 

Legacy security for these scenarios was built around the endpoint. IT leaders would lock down the device, control the hardware, and manage everything installed on it, with the assumption being that protecting the machine protected the data on it. But that model doesn’t hold up when your workforce is spread across geographies, on personal laptops, contractor machines, and home offices.

Ensuring HIPAA compliance in a distributed environment requires a reframe: protecting the work itself. Encrypting and isolating work applications and ePHI directly on the endpoint, regardless of what device is being used to access them.

Enabling Secure, Device-Agnostic Access for Telehealth Workforces

To fully embrace this next phase of telehealth, healthcare organizations need workforce models that are more flexible by design, and the security infrastructure to match. 

Allowing employees and contractors to use their own devices can remove much of that friction. It makes the onboarding process a lot faster and gives organizations more flexibility in how they want to build and scale their workforce. 

But device flexibility only works if compliance travels with it. HIPAA doesn’t change based on who owns the laptop, so the obligation to control access to ePHI applies regardless of whether someone is using a corporate-issued machine or their own. That’s the challenge that a device-agnostic model solves: giving people the freedom to work on any device, while ensuring the organization never loses control of the data.

Building a Secure, Flexible Future for Telehealth Workforces

The practical shift starts at the endpoint. Rather than restricting access by locking down entire devices, IT teams can isolate ePHI and healthcare applications inside a protected workspace directly on the user’s machine, fully separated from personal activity. 

This allows healthcare organizations to onboard remote workers and contractors in minutes instead of days, without shipping laptops or spinning up complex virtual desktops. Offboarding is just as fast, since access can be revoked instantly, with no equipment to retrieve. For an industry dealing with persistent staffing pressure and high contractor turnover, that agility matters.

As telehealth continues to reshape care delivery, the organizations best positioned to scale are those that stop treating device ownership as their security strategy. HIPAA compliance doesn’t require that IT teams control the hardware; it just requires that they keep sensitive data secure, regardless of what device it’s on. A model that isolates and protects ePHI at the endpoint, regardless of what device it sits on, gives healthcare organizations the flexibility to grow their distributed workforce without compromising the trust patients place in them.

About David Matalon

David Matalon is the Founder and CEO at Venn, the leader in flexible workforce enablement. As a 5-time founder, David has experience running companies focused on securing and delivering applications for distributed workforces. He led businesses that worked on virtual desktop (VDI) technologies and security/compliance for remote teams. Venn is the innovator behind Blue Border, a purpose-built technology that creates a secure, IT-controlled work environment on a user’s own PC or Mac—separating work and personal activity without locking down the device or relying on virtual desktops. He earned his undergraduate degree from NYU’s Stern School of Business and holds a master’s degree from Columbia University. You can follow him on LinkedIn here.

< + > Roche Enters Into a Definitive Merger Agreement to Acquire PathAI to Transform AI-Driven Diagnostics

• PathAI’s Best-In-Class Image Management System (IMS) with Advanced AI Analysis and Workflow Capabilities will Complement Roche’s Digital Pathology Portfolio to Drive Laboratory Efficiency
• Combining Roche’s Strong Position in Companion Diagnostics and PathAI’s Advanced AI Platform Helps Accelerate Clinical Therapy Development, Foster the Discovery of New Biomarkers, and Create Novel Diagnostic Tools
• These Integrated Capabilities will Accelerate the Shift from Broad Intervention Toward Personalised Healthcare for Patients

Roche announced today that it has entered into a definitive merger agreement to acquire PathAI, a US-based company in digital pathology and AI-powered technology for pathology laboratories and the biopharma industry. This acquisition builds on the successful partnership between Roche and PathAI, established in 2021 and scaled up in 2024 to include the development of AI-enabled companion diagnostic algorithms. Subject to the closing of the transaction, which is expected in the second half of the year, the acquired entity will become part of the Diagnostics division.

This acquisition strengthens Roche’s position in Digital Pathology, which is transforming extensive manual workflows into fully automated, AI-driven processes and insights. Digital pathology enables the creation of high-resolution digital images from physical tissue on slides, allowing pathologists to use AI tools to facilitate diagnostic workflows and provide patients with faster results.

“Digital pathology has the potential to improve precision diagnosis of cancer and enable physicians to offer better-tailored treatment regimens,” said Matt Sause, CEO at Roche Diagnostics. “Bringing PathAI into Roche Diagnostics will allow us to combine their best-in-class digital pathology tools with our leading oncology diagnosis platforms to deliver better insights for physicians and potentially better outcomes for patients worldwide.”

Andy Beck, Co-Founder and CEO at PathAI, adds, “Joining forces with Roche marks a new era for PathAI, enabling us to realise our mission of improving patient outcomes through AI-powered pathology at unprecedented scale and speed. Roche’s global infrastructure and expertise will bring our digital diagnostics technology to patients worldwide.”

PathAI’s AISight IMS software interface is efficient and user-friendly, seamlessly integrating advanced analysis and workflow capabilities within the digital pathology laboratory. In the rapidly growing pathology market, Roche intends to scale this solution globally.

In addition, the expanded capabilities strengthen Roche’s competitiveness in precision medicine by enhancing its biopharma services. PathAI’s strength in AI-driven solutions, including clinical trial support and translational research, will complement Roche’s deep expertise in companion diagnostics. Combining these capabilities will foster the discovery of new biomarkers, potential drug targets, and novel diagnostic tools, increasing the value Roche can bring to biopharma companies.

About Roche

Roche is a healthcare company uniquely placed to prevent, stop, and cure diseases by uniting leading science and technology across diagnostics, medicines, and digital solutions.

Roche was founded in Basel, Switzerland, in 1896 and today is a leading provider of transformative medicines and diagnostics for millions of people in over 150 countries around the world. It is dedicated to tackling healthcare challenges that place the greatest strain on patients, families, communities, and healthcare systems. Across its Diagnostics and Pharmaceutical divisions, Roche focuses on areas including oncology, neurology, cardiovascular and metabolic diseases, ophthalmology, infectious diseases, and immunology with the aim of providing real and positive change for patients, the people they love, and the professionals who care for them.

Genentech in the United States is a fully owned subsidiary in the Roche Group. Roche is the majority shareholder in Chugai Pharmaceutical, a major innovator in the Japanese therapeutic antibody market.

For more information, please visit roche.com.

Originally announced May 6th, 2026

< + > Bonus Features – May 24, 2026 – 74% of compromised healthcare devices store EHR credentials, 62% of orgs say legacy data archiving impacts patient care, plus 31 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.

Studies

• While 94% of healthcare organizations said AI agents are “indispensable” to operations, according to a Hyro report, just 59% have standard processes and frameworks to track their success. In addition, Hyro’s AI agents have been integrated with Five9‘s Intelligent Cloud Contact Center.
• A survey from Harmony Healthcare IT found 62% of healthcare technology professionals said legacy data archiving challenges impact patient care; 54% said they can affect care coordination.
• Nearly 3 in 4 (74%) of compromised healthcare devices contain credentials for EHR systems, according to a report from Flare.
• When it comes to managing prior authorizations, 81% of staff spend 5 hours or more each week on fax management, according to a Retarus report.
• More than 1 in 4 Americans (27%) said engagement with social media or AI tools encouraged them to schedule or consider a cancer screening, according to a survey from Mesothelioma.com.

Partnerships

• Pathology reporting technology from mTuitive is now integrated with Fujifilm‘s Synapse Pathology. In addition, Fujifilm launched EB-710US Ultrasound Bronchoscope for looking at a patient’s lungs.
• Clinical research engine Briya is now integrated with InterSystems.
• SandboxAQ integrated its Large Quantitative Models with Claude from Anthropic.
• Smart ring maker Oura is partnering with ResMed, a sleep technology company.
• Cybersecurity vendor IntraSystems is partnering with Goliath Technologies, an EHR optimization company, to form the Strategic Partner Consortium for Healthcare.
• Demand-side platform DeepIntent is integrating OptimizeRx‘s EHR network into its healthcare advertising platform.

Products

• Canvas Medical launched Canvas Studio, a no-code interface for custom workflows within its EHR platform.
• ChiroTouch launched CT Pay, a payment solution embedded in its EHR and practice management software for chiropractors.
• Definitive Healthcare announced product enhancements that include HubSpot and Salesforce integration.
• Flatiron Health launched Flatiron Telescope, a platform for finding patients, assessing study feasibility, and generating oncology insights.
• HOPPR introduced HOPPR EB 2D Mammo Narrative Model to translate mammography images into narrative language describing imaging characteristics.
• Labcorp launched MyLabcorp, a mobile app that brings together lab results, clinical guideline-based content, and AI features.
• Parexel introduced ParexelAI, a suite of services supporting the clinical development lifecycle.
• RedSail Technologies launched RxMarket, a purchasing marketplace for independent pharmacies.
• Price transparency platform Turquoise launched OON Dashboard, a free tool for comparing contracting rates to qualified payment amounts or independent dispute resolution rates.
• Verato is introducing Verato Identity Network, a shared identity infrastructure across healthcare platforms.
• Wolters Kluwer Health launched Lippincott CoursePoint+ Faculty Assistant and expanded Nursing Tutor Usage Insights.

Implementations

• Prime Healthcare selected Collette Health to support virtual sitting and nursing.
• Tribal healthcare operations consultancy Face Rock expanded its RCM collaboration with Inovalon.
• Moffitt Cancer Center expanded its Reimagine Care deployment for virtual oncology care.
• Los Angeles-based home health agency Unison Health Services expanded its adoption of WellSky SkySense AI.

Company News

• 1Kosmos received Epic Toolbox designation for Identity Verification for MyChart.
• BioHeartland launched as a collaboration among the Central Indiana Corporate Partnership and Central Indiana Regional Development Authority.
• ConcertAI expanded its CancerLinQ network, adding University of Rochester Medicine Wilmot Cancer Institute and UCHealth/University of Colorado Anschutz Cancer Center.
• Global Near Field Communication standards body NFC Forum launched a Healthcare Special Interest Group.
• PointClickCare is making Chart Advisor available to senior living communities by the end of this year.

People

• Senior care technology provider LivTech appointed Samantha McAlister as Chief Customer Officer.
• Care coordination technology vendor Watershed Health named Malissa Binkley as Chief Operations Officer and Monica Rivera as Chief Growth Officer.

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