Thursday, May 28, 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/

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

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< + > 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



Wednesday, May 27, 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:

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.



Tuesday, May 26, 2026

< + > 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



< + > 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 (electron...