Monday, November 9, 2026

< + > Using AI to Build, Troubleshoot, and Optimize Healthcare Integrations

As healthcare organizations build and maintain increasingly complex integrations, troubleshooting and optimizing those connections can take up a significant amount of an integration team’s time. That’s where AI tools like Rhapsody Axon are starting to make a difference. In our recent interview at Rhapsody Connect, Brandy Mason, Technical Lead for Surgical Growth Data Integrations at Qventus, and Corinne Pellows, Director of Product Management at Rhapsody, shared how Axon is helping integration teams work more efficiently.

Mason explains how she uses Axon to troubleshoot integration routes and filters, including catching small coding errors that can cause bigger problems. She’s also used it to build a route from scratch, turning JSON payloads into CCDA messages in a process that saved her hours of work. In another example, Axon helped identify a way to improve message throughput by replacing a JavaScript filter with a simpler debatch step, resolving recurring alerts and message queue backups.

Pellows shares how Rhapsody is seeing other customers use Axon to troubleshoot performance issues, understand changes to their integration environments, and get up to speed on healthcare standards. She also discusses how customer feedback is shaping Axon’s development, including new capabilities designed to help users manage and triage support tickets.

Both Mason and Pellows emphasize that AI assistance doesn’t mean blindly accepting recommendations. Integration professionals still need to understand their environments and carefully review suggestions before putting changes into production. They also share some practical advice for teams getting started with AI, including beginning with questions they already know how to answer so they can build trust in the technology.

Watch the full interview to hear how Qventus is using Rhapsody Axon and how AI is already starting to streamline healthcare integration efforts.

Learn more about Qventus: https://www.qventus.com/

Learn more about Rhapsody: https://rhapsody.health/

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< + > Small Practices Need Their Denial Data Before They Add Billing Staff

The following is a guest article by Ameet Sharma, CPC at Synergy Business Solutions

When unpaid claims accumulate, hiring another biller can feel like the obvious answer. Sometimes capacity really is the constraint. But before adding staff, an independent practice should ask whether the same preventable errors are generating work every month. A team can become very efficient at correcting claims while the scheduling, registration, or enrollment problem that caused them continues untouched.

The practical starting point is a monthly view of denial patterns. Much of the information already exists in the practice-management system, clearinghouse reports, and payer remittance advice. The challenge is turning those records into a short list of changes that someone owns.

Read the Reason Before Assigning the Fix

Start by separating clearinghouse or payer rejections from adjudicated denials. A claim rejected before adjudication belongs in a different work queue from a claim the payer processed and denied. Mixing them obscures where the failure happened and makes comparisons between months unreliable.

For adjudicated claims, review the adjustment reason together with the accompanying remark codes and the payer’s explanation. CMS describes claim adjustment reason codes as the overall explanation for a financial adjustment, with remark codes providing further detail. An adjustment alone does not necessarily mean a denial; contractual adjustments and patient responsibility need separate treatment.

Several codes provide useful starting points. CARC 27 relates to services after coverage ended. CARC 197 signals missing authorization or related notification. CARC 16 identifies missing information or billing errors and requires an accompanying remark code. These are examples, not a universal ranking of the most common denials. Each practice should find its own recurring patterns.

A code is also a clue rather than a complete diagnosis. An authorization may exist but have been omitted from the claim. A coverage issue may reflect the wrong payer being billed. Review a few underlying records before deciding that the solution is staff retraining or a payer appeal.

Build a Report that Leads to a Decision

Export the available claim and remittance fields for a consistent reporting period. Useful fields include payer, provider, date of service, initial submission date, adjudication date, claim identifier, denial reason, associated remarks, and current balance. Keep patient-level details inside the practice’s approved systems; an owner-facing summary generally needs counts and amounts, not patient names.

Group the results by payer and reason. Count distinct claims so repeated submissions do not inflate the apparent number of new problems. If the system records adjustments at service-line level, state whether the report measures claims or lines and use that choice consistently.

Then rank patterns by frequency and unresolved financial impact. Charged amounts are not the same as expected collectible revenue, so label dollar fields accurately. Pick one or two issues the team can investigate this month. A lengthy dashboard is less useful than a manageable change with a responsible person and a review date.

For example, if one payer repeatedly denies claims for authorization, trace the workflow from scheduling to submission. Check whether the authorization covered the service, provider, location, date range, and units, and whether the required information reached the claim. Fixing that handoff can prevent the next batch of rework.

Put Prevention Where the Work Begins

Eligibility checks should be part of the scheduling and registration workflow, with another check close to the visit when appropriate. Record what was verified and when. Eligibility information can change, and a positive check is not a guarantee of payment.

Authorization tracking should make unresolved requirements visible before services are delivered whenever possible. A shared status field or work queue in an existing system may be enough. Assign responsibility for obtaining the authorization, checking its scope, and passing it to billing. Follow the relevant payer’s requirements rather than assuming every plan handles the same service identically.

Provider enrollment deserves a place beside denial trends. Track the applicable provider, payer, service location, effective date, and unresolved enrollment tasks. Credentialing approval and active participation for billing should not be assumed to be interchangeable. When denials cluster around a new provider or location, check the payer’s records before repeatedly resubmitting claims.

Give the Physician Owner Three Clear Measures

A monthly owner review can begin with first-pass acceptance, initial denial rate by payer, and receivables older than 120 days. Define each measure before setting targets. For first-pass acceptance, track original submissions accepted without correction; keep acceptance separate from payment. For initial denial rate, use a consistent cohort of adjudicated claims and count each claim once.

Report receivables older than 120 days using a consistent aging date, with insurance and patient balances separated. Review both the amount and its share of total outstanding receivables. A changing payer mix, posting delay, or unusually large balance can affect the trend, so discuss the underlying causes rather than treating a percentage as a verdict.

End the review with an action: what changed, who owns it, and when the team will check whether the relevant denials declined. Continue working older claims while measuring whether new claims avoid the same problem.

Additional staff may still be necessary. Denial data helps distinguish a workload that needs more capacity from avoidable work that needs a process change. For a small practice, that distinction can make the next staffing or technology decision much better informed.

About Ameet Sharma

Ameet Sharma, CPC, is a CPC-certified healthcare revenue cycle professional with extensive experience in medical billing, coding, claims management, and denial resolution.



< + > XRHealth Acquires Living Brain | Equiti Acquires Lexi AI

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


XRHealth Acquires Living Brain, Expanding Immersive Cognitive Training and Rehabilitation Through Real-World Activities

Acquisition Broadens XRHealth’s Therapeutic Offering With Virtual Activities of Daily Living Grounded in Established Principles of Occupational Therapy and Neuropsychology

XRHealth, a leading platform for therapeutic technologies, today announced the acquisition of living brain based in Heidelberg, Germany, expanding its portfolio of immersive cognitive training and rehabilitation solutions. The acquisition strengthens XRHealth’s ability to deliver engaging, personalized therapeutic experiences through virtual activities of daily living based on established principles of occupational therapy and neuropsychology.

“The acquisition of living brain represents another step in our vision to build a comprehensive ecosystem of digital therapeutics that delivers personalized care across multiple technologies,” says Eran Orr, CEO at XRHealth. “Cognitive rehabilitation plays an important role in helping people navigate everyday life, and living brain’s immersive approach brings therapy closer to the real-world activities patients need to master. By integrating these capabilities into XRHealth’s growing platform, we aim to expand access to engaging, personalized therapeutic experiences that can extend beyond traditional clinical settings.”

As part of the acquisition, XRHealth will incorporate living brain’s flagship product, teora mind, a virtual therapeutic environment that transforms traditional rehabilitation into an immersive, interactive experience. Patients can practice everyday activities in lifelike settings, such as kitchens, gardens, and stores, providing engaging, real-world simulations beyond the conventional therapy room.

“Our goal has always been to help people regain cognitive abilities and return to the activities that matter in their daily lives as quickly as possible,” says Julian Specht, Founder and CEO at living brain…

Full release here, originally announced November 2nd, 2026.


Equiti Acquires Lexi AI to Expand Healthcare Language Access Through AI and Human Interpretation

The Acquisition Connects Immediate AI Language Support with Qualified Medical Interpreters Across the Patient Journey

Equiti, a technology company focused on equitable access to care, today announced that it has acquired Lexi, an award-winning healthcare AI language interpretation company. The acquisition brings Lexi’s immediate AI language support together with Martti and its network of qualified medical interpreters to help healthcare organizations expand language access across the care journey. With this acquisition, Equiti is building on Martti’s work pioneering video remote interpretation in healthcare more than two decades ago.

Healthcare organizations are increasingly using AI across clinical and administrative workflows, and purpose-built solutions are now becoming available for responsible language interpretation. Equiti sees an opportunity to shape this new modality with the same customer collaboration and patient-first discipline that guided Martti’s development.

Just as Martti was built alongside healthcare organizations to make qualified interpreters available by video, Lexi has been developed with healthcare customers to extend immediate language support into more workflows. The acquisition brings those capabilities together, with human-in-the-loop design, patient safety, and patient experience at its center.

Language access is a strategic performance driver for healthcare organizations, as effective communication influences patient understanding and experience, clinical outcomes, workforce efficiency, and financial performance. A broader set of connected modalities gives organizations more ways to address those needs across the patient journey…

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



Sunday, November 8, 2026

< + > Bonus Features – November 8, 2026 – 48% of Americans have used AI to review their health insurance options, 68% would independently verify AI-generated medication details, plus 34 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.

News

Stats

Partnerships

Products

Implementations

Company News

People

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

 



Saturday, November 7, 2026

< + > Weekly Roundup – November 7, 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.

What’s Next for eHealth Exchange? President and Executive Director Doug Dietzman sat down with John Lynn to outline the organization’s priorities for 2027: Engage with payers, expand beyond treatment-focused exchange, and strengthen relationships with federal partners. Read more…

Using Ambient AI to Reduce Physician Burden. SVP and CIO Mark Galea at Louisiana’s Willis Knighton Health, plus Commure’s Ian Shakil, got together with John to describe the importance of finding a vendor with a mature solution and a willingness to partner, not just one with EHR integrations. Read more…

How Virginia’s Augusta Health Automated Document Routing. CIO Leigh Williams, along with Audrey Brislin at Forward Advantage, talked to John about replacing digitized document routing with automation for use cases that are consistent and predictable – and boring. Read more… 

Advancing Healthcare AI Governance and Patient Identity Management. John summarized his day at Rhapsody Connect; highlights included doing identity management at scale, training AI on clean data, governing APIs, and supporting information exchange. Read more…

A Look at Workday’s ERP in Healthcare. John sat down with Keith Lohkamp to talk about Workday’s role helping health systems manage the business operations that ultimately support patient care. It starts with connecting clinical and operational data. Read more…

East Georgia Healthcare Center Discusses eClinicalWorks’ Pharmacy Solution and AI. COO Peyton Frye connected with John and chatted about bringing new pharmacy operation capabilities and AI tools into existing workflows and synchronizing data across applications. Read more…

Oracle Previews an Intent-Driven EHR Strategy. SVP and Chief Medical Officer Bharat Sutariya sat down with Colin Hung to talk about how to deliver next-generation clinical intelligence without forcing health systems into another painful data migration. Read more…

Life Sciences Today Podcast: Earlier Than Early Breast Cancer Detection. Danny Lieberman talked to Sivan Sadan at Pink Star Technologies about meeting strict U.S. privacy requirements to implement early screening of breast MRI. Read more…

CIO Podcast: Reliability in AI Adoption. Data scientist Renu Sara Nargund at UT MD Anderson Cancer Center joined John to discuss why “human in the loop” isn’t enough to solve the reliability problem with AI, especially in oncology. Read more…

Today’s ACO Technology May Not Be Enough for What’s Coming. ACOs now have a much bigger charge to manage specialty care and adopt CMS tools to negotiate rates. To support that, Theresa Hush at Roji Health Intelligence outlined sikx essential layers of value-based care technology. Read more…

Provider Enrollment: A Data Problem Hiding in the Denial Queue. Sooner is better for reconciling provider records, Madison Gardner at AMS Solutions said. Information can exist in multiple locations, and claims can fail even when EHRs and clearinghouses work exactly as designed. Read more…

Automation and AI Are Quietly Rebuilding the Hospital Back Office. Since the back office is data-rich, highly repetitive, and directly connected to financial performance, Paige Schwein at Healthrise said it offers a clear opportunity for effective AI adoption. Read more…

The Hidden Risks of Using Personal Cell Phones for Patient Communication. While HIPAA doesn’t prohibit the use of personal devices, the compliance question is whether an organization protects ePHI that the device creates, receives, stores, or transmits, noted Pankaj Gupta at iPlum. Read more…

Clinical AI Needs Version Control, Not Just Validation. Because AI tools can be updated far more frequently than traditional clinical technology, AI researcher Dr. Michael T. Neely said it’s critical for organizations to keep close tabs on how changes to clinical AI tools may impact performance, risk, or workflow. Read more…

This Week’s Health IT Jobs for November 4, 2026: Arkansas-based Forrest City Medical Center is looking for a CEO; so is Illinois-based Olympia Fields Hospital. Read more…

Bonus Features for November 1, 2026: 91% of patients want their permission required when AI is used for diagnosis; plus, 64% of providers plan to deploy AI for claims and denials management. Read more…

Funding and M&A Activity:

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



Friday, November 6, 2026

< + > Health System Zombie, Treatment Coverage, and General Medicine – Fun Friday

Happy Friday everyone! You made it through another great week. We hope you have accomplished all you wanted and are ready for a great weekend. That means it’s time for another edition of Fun Friday where we try to make you smile as you head into the weekend.

This felt like an appropriate one for Halloween. Does anyone else feel like this looks like the healthcare system? The only thing I’d add is a lot more than 2 people or groups are pulling at it.

I probably shouldn’t laugh at this one, but I did. Sometimes coverage feels this way.

This one is so dumb it’s funny. There’s an interesting balance in healthcare between specialist and generalist.

That’s all for this week. We hope you enjoyed and that you’ll tune in next week for some more great health IT content.



< + > Earlier Than Early Breast Cancer Detection – Life Sciences Today Podcast Episode 86

We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Sivan Sadan, Co-Founder and CEO at Pink Star Technologies. In this episode, I sit down with Sadan to talk about how Pink Star is making breast cancer detection earlier than early.

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

  • Tell us about your journey to Pink Star. How did you end up doing an AI startup for early screening of breast MRI?
  • How do you create value?
  • Who are your customers?
  • Who pays you, and how do you plan to charge people for using your system?
  • What’s your superpower? What’s your moat?
  • US privacy requirements are tough, so how did you get passed by Mount Sinai with this?
  • Breast cancer is known to be sensitive to race and ethnicity. How does that influence your AI model?
  • What are three things you want to do for your customers in the next twelve months?
  • What is the biggest anti-pattern in your industry?
  • What is the closest you’ve come to a surprise that would have cost you the company?
  • How many salespeople do you have?

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

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

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

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

Thanks so much for listening!



< + > Using AI to Build, Troubleshoot, and Optimize Healthcare Integrations

As healthcare organizations build and maintain increasingly complex integrations, troubleshooting and optimizing those connections can take ...