The Biggest Healthcare IT Insights From MEDITECH LIVE. John Lynn visited the Boston suburbs (lovely this time of year) for the vendor’s user conference. The main-stage conversation focused on practical uses for AI and the importance of seeing shadow AI as a “demand signal” that users have problems they need to solve. Read more…

What We Heard at the Civitas 2026 Annual Conference. John racked up more even frequent flier miles traveling to the DC suburbs, where he had quite a few conversations about the role of HIEs five years from now. Attendees also talked to him about HIEs and rural health and the interoperability topics that aren’t getting enough attention. Read more…

Advancing Open Source Healthcare Integration. While at the Civitas event, John sat down with Loyd Bittle at Innovar Healthcare to chat about the progress of the open source interoperability project BridgeLink, which now offers a web-based interface and more detailed security alerts. Read more…

Life Sciences Today Podcast: What It Takes to Evaluate Systems More Rigorously. Engy Ziedan at Protege talked to Danny Lieberman about the perils of AI models that influence care decisions while still being judged largely by static tests. Read more…

Healthcare IT Today Podcast: Fall Conference Pre-Season Preview. After checking their airline and hotel reservations one more time, John and Colin Hung debated tired topics and surprising topics for fall conference season. Read more…

The AI Model Isn’t Your Advantage. The Knowledge Behind It Is. When it comes to filing workers’ compensation claims, Brian Kenah at EnableComp said anyone can license the model, but no one can license a career’s worth of hard-won judgment that tells a system when a claim is about to fail. Read more…

Measuring the Journey From Download to Active Subscriber. The path from opening an app through registration, identity verification, account validation, and activation comes with many milestones that must be visible on the same dataset. Cristian Ionescu at Witanalytica explained how to make it happen. Read more…

How Healthcare IT Can Transition Platforms Without Downtime. Michael Ohayon at Nexcess explained how clinics can benefit from switching to hyperconverged infrastructure. It starts with migrating from legacy systems without going offline while simplifying long-term management. Read more…

When It’s Time to Migrate Applications, Do You Need the Functionality – or the Data? The cloud has made it too easy to move apps that aren’t really necessary, said Jonathan Cook at Clearsense. If organizations decide it’s the data they really need, the next step is finding its final destination. Read more…

As AI Transforms Healthcare Data, PHI Is a Wall Nobody Talks About. Commercial AI products weren’t designed to handle PHI. BAAs, de-identification, and synthetic data can help organizations work with AI and overcome PHI’s hurdles, according to Tejaswani Veerni at UI Health. Read more…

This Week’s Health IT Jobs for September 30, 2026: MultiCare Health System seeks a CMIO to be based in Tacoma, Washington. Read more…

Bonus Features for September 27, 2026: Only 32% of senior care teams say tech supports their work, while 70% of health workers say AI makes care feel less human for patients. Read more…

Funding and M&A Activity:

• Healthcare benefits platform Angle Health announced $600 million in equity financing.
• Patient navigation company DexCare acquired Mila Health, an automated care coordination company.
• Ascend Learning acquired M7 Health, a healthcare staff scheduling and deployment platform.
• Clinical data management company MRO acquired Vyne Medical, provider of data intake and intelligent document processing software.

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

We talk about her personal journey, Protege’s value creation, value capture, and moat. We also talk about the biggest anti-pattern in her industry.

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

• Tell us all about your journey to where you are today as Chief Science Officer at Protege.
• Who are your customers, and how do you create value for them?
• We all know that EMRs are notoriously noisy and behind the curve; how do you deal with this?
• What are three things you want to do for your customers in the next year?
• What is your superpower? What is your moat?
• 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!

Model capability is climbing fast, and the tooling to build AI agents is now largely commoditized. The strongest models are a license away for any health system or vendor that wants them. That’s led a lot of technical leaders to the conclusion that winning means adopting the best models.

It works until the claims get complicated. Point a capable model at the wrong knowledge and it returns an answer that’s logically sound but confidently wrong. The model is missing something that takes years to build.

The Knowledge is the Hard Part

Getting an agent into production can take days or weeks with today’s tooling. The state-by-state, payer-by-payer knowledge it reasons against, however, takes an entire career to accumulate. A workers’ compensation claim in California follows different rules than the same claim in Texas, and both look nothing like a federal VA claim. Workers’ comp is just one category. Out-of-state Medicaid and motor vehicle claims each run on their own rules.

That knowledge can’t be purchased. It has to be built. Anyone can license the model. No one can license the hard-won judgment that tells a system when a claim is about to fail, and why. 

Why a Better Model Still Gets it Wrong

Most of what an expert knows was never written down. A veteran specialist has learned that a particular state’s workers’ comp carrier won’t pay without a specific attachment, even when the claim record shows as complete. An agent working without that knowledge produces output that looks right and is wrong. It fills every field and passes the internal checks, then the claim is denied for a reason the system never flagged. The model performed exactly as intended. The knowledge it needed had never been encoded.

This is a sequencing problem. Build the data and domain foundation first, then put the agents on top. Teams that reverse the order automate the mistakes they haven’t caught yet. When a payer changes a rule, claims keep being denied under the old one until someone encodes the new one, and every week of that lag is revenue a health system loses. In our work, that lag has dropped from quarters to weeks.

Models Improve, the Advantage Grows

Once the foundation is in place, every gain in model capability improves outcomes against that same encoded expertise. The team that did the hard work inherits every future model release for free, applied to a knowledge base no competitor has.

Domain experts encode what they know, and the system reasons against that expertise. Every claim it works and every correction a specialist makes feeds back in, so the system gets sharper the longer it runs. When it isn’t sure, a human steps in.

The market has already felt the cost of skipping that step. In its latest survey, McKinsey found only a third of leaders expected autonomous coding to handle even 30 percent of outpatient coding volume. A year earlier, about half had expected more than 35 percent. Expectations dropped once the tools ran into work they weren’t built to handle.

From Chasing Revenue to Preventing Losses

A system built on real domain knowledge does more than expedite claims. It flags the risk before a claim goes out and points to the accounts where the return is highest, so fewer high-value claims slip through. Specialists still review every decision that carries real money, which keeps human judgment where the stakes are highest. Because that expertise is written down and governed, the system can show why it made a call, not just what it decided. In an audit or a payer dispute, that is the difference between a defensible decision and a guess.

The result is fewer denials to work, because most never reach that point. The ones that do are expensive to fight, and that fight keeps getting harder as payers get faster and more automated at issuing them. Hospitals spent nearly $18 billion in 2025 overturning claims denials. Prevent them and there’s nothing to overturn. For a hospital, that means higher yield on its hardest claims and revenue the finance team can plan around.

New models keep coming every year. A more capable model without domain knowledge behind it just reaches the wrong answer faster. Pair that same model with expertise you’ve already encoded, and each new release compounds your results instead of repeating the mistake. Your competitors can buy the same models tomorrow. They can’t buy the knowledge underneath, and in complex claims, that decides who gets paid.

About Brian Kenah

Brian Kenah is CTO at EnableComp and the driving force behind EnableComp’s enterprise AI operating model. He has spent 25+ years building and scaling healthcare technology organizations, including CTO at Azalea Health, senior leadership at Sharecare, and 13 years leading product and engineering at NextGen Healthcare.

DexCare, Inc. today announced the acquisition of Mila Health (Mila), an AI care coordination company whose agents call, text, and chat with patients to get them scheduled, prepared, and seen. Mila runs on DexCare’s access data model—proven across more than 10 million bookings—which standardizes scheduling data and institutional know-how into one rulebook for any service line, under the health system’s control.

“Mila gives our data a voice, and our data gives Mila direction,” said Matt Blosl, CEO at DexCare. “AI solutions are everywhere, but health systems quickly realize that building the infrastructure, scaling the pilot, and managing the agent’s boundaries is untenable. Most agents lack contextual awareness to connect a health system, to know the relationships between service lines and the nuances and preferences of staff, locations, and providers. Any agent can sound incredibly human, but ours understands the health system it speaks for.”

“With Mila, DexCare pairs our access data model—the intelligence that controls where, when, and how to navigate a patient—with agents that act on it, from calling someone who’s overdue for a visit, to walking them through what a procedure requires, and checking in once they’re home,” added Blosl. “The era of stitching together tools, one at a time, to solve one access challenge is over.”

DexCare’s platform connects disjointed data and knowledge into a rulebook that governs patient access. Credentialing, referral requirements, insurance, and scheduling protocols vary by location, provider, and scheduler, and DexCare reconciles them before a conflict reaches a patient. Mila’s agents draw on approved workflows to answer the questions that decide a visit, like whose slot is open, whether the patient qualifies, and whether a closer or more appropriate option exists.

“Many scheduling technologies work for simple visits, but they struggle when clinical requirements and scheduling rules become more complex,” said Dr. Peter Chang, Senior Vice President and Chief Transformation Officer at Tampa General Hospital. “DexCare efficiently codified 260 scheduling policies and uncovered more than 50 gaps. Bringing scheduling and clinical logic together in a single system enables AI to accurately coordinate complex specialty care, not just for one clinic, but expanded across our entire enterprise.”

Mila works with payers, providers, and software systems. In production, its agents achieve a 54% patient response rate during outbound outreach, which is 80% higher than manual call centers. Mila agents reduce no-show rates by 50% and increase revenue by 18%.

“Healthcare can’t rely on out-of-the-box large language models because they’re unpredictable and can’t be audited,” said Shailu Verma, Co-Founder and CEO at Mila Health. “With DexCare, providers and payers can configure an AI agent to complete the tasks they can’t staff for and trace how it decided each step. Mila solves more and escalates less, so leaders can place their people on the work that needs a person.”

Mila transforms manual coordination work into completed action, operating within the systems that payers, providers, and health-technology teams use. Mila is designed as an API-first system that can be configured, governed and embedded into existing workflows to launch AI agents in hours.

The deal is DexCare’s second acquisition.

DexCare spun out of Providence Health in 2021. The company has raised $146 million to date, including a $75 million Series C round led by ICONIQ Growth in 2023, and acquired Womp, Inc. in 2022 to bring consumer-grade search and scheduling to healthcare. DexCare ranked No. 1 for patient experience in KLAS’s 2025 Emerging Solutions Top 20 report.

To learn more, visit dexcare.com/mila.

About DexCare

Better data. For better access. DexCare is a patient navigation company and the system of record for access. Our data model unifies EHRs, workflows, and staff knowledge into one governed platform that codifies policies and orchestrates patients by need, location, and capacity. DexCare replaces the stack of point solutions powering your website, search, call center, and AI agents. We find the patient searching and the one overdue, then schedule, prepare, and follow through. Customers book 40 percent more appointments with existing resources and cut time to care by five days. Built inside Providence, DexCare serves 57 million patients across 50 states, with customers including Kaiser Permanente, Piedmont, Texas Health Resources, and Tampa General. Visit dexcare.com.

Originally announced September 21st, 2026

Would it be a healthcare IT event if we didn’t start off with some talk about AI? MEDITECH is pushing into AI as you’d expect, but from a very practical standpoint focused on the impact for good that it can have for its users. I was also intrigued by their commitment to functional transparency when and where they implement AI. A lot of healthcare organizations appreciate this type of transparency. It will be interesting to see how this takes shape at MEDITECH.

This is a nice vision of what MEDITECH is working on.  You can see a very practical approach to make a meaningful impact on the organizations that use their systems.

This has become a pretty common theme at conferences lately.  No one needs more data and data movement doesn’t solve problems.  Turning the data we have or that we can get into something impactful is what everyone really wants to see from a solution.

One of the big topics of the conference was around interoperability and the efforts MEDITECH has put into their Traverse Exchange product. Mike did a great job describing the impact of their interoperability tools for healthcare organizations. We did a video on this topic with a MEDITECH user which dives into it a lot more, so watch for that interview coming soon.

When I first got into healthcare, I thought how cool it would be if something I worked on saved someone’s life. The reality of the work we do in healthcare is it literally does impact people’s lives. This story from Dr. Frase was a really great example of how health data sharing and good health IT can have that kind of impact. Gives you chills to just think about how it impacted a patient for good.

MEDITECH always does a nice job bringing in keynote speakers that inpsire you and expand your thinking.  This year it was a former UFC fighter, Justin Wren, who found his purposes serving the “forgotten” people in Africa by building wells for safe drinking water and even a clinic.

His story also included being bullied and treated poorly as a kid, a battle with addiction and suicide, and finding his mission and purpose in life.  The above story was some wrestling mentors that helped him find belief in himself and transforming his life.

The story was powerful to hear and made me wonder how else we could do that in healthcare IT.  I think we’ve all bumped into people who didn’t have a lot of self belief.  Encouraging them and helping them see their potential is a powerful thing that changes their lives and yours.  In some ways it reminded me of MEDITECH’s policy to promote from within.  They often see the potential in someone well before they do and they invest in them to reach that potential.

When Justin shared his views on leadship, he really expanded the idea of a leader.  This included this large giant of a man learning from a frail, blind, small African lady.  I do love how he shared that real leaders don’t just talk.  They go and do.

I was intrigued on if real leaders “know the way” since there’s a lot of challenges in healthcare IT where we don’t know the way.  A new AI solution may require a lot of new knowledge.  However, knowing the way doesn’t necessarily mean knowing everything.  You can know the process of how innovation happens at your organization.  You can know the process for testing if a solution is secure.  You can know the process of getting buy in at your organization.  Those are all examples of great leadership knowing and showing the way.

I think about this a lot in the context of luck.  There have been a lot of studies that show that the “luckiest” people are often the people who work the hardest.  By working hard, they put themselves in a position to be lucky.

Obviously, that’s the story of Healthcare IT Today.  I grinded for 5 years working on SEO and building the site.  Then, I got “lucky” that the government gave $36 billion of stimulus money for EMR software.  Of course, if I hadn’t done the hard work for 5 years, I wouldn’t have been a position to get lucky.

Also, are we brave enough to say yes when the opportunity arises?

This was a powerful idea.  Far too often we tell ourselves we can’t do something.  We may want to ask ourselves…why not us?

This was a powerful Swahili proverb and appropriate in a room full of many rural health and critical access hospital executives.  I’ve heard from many of these leaders how they’re a “small” organization.  However, in the same breathe they’ll tell me how impactful what they’re doing is for their community.

Shifting to some of the insights I heard at a few of the sessions I was able to attend, shadow IT and shadow AI is becoming a big topic at organizations.  The reminder that these shadow efforts are actually an important demand signal from your organization.  You shouldn’t ignore this or be punitive with people who decided to implement shadow AI.  Instead, you should embrace the fact that they have a problem and they want a solution for that problem.

Halamka was right on resistance to AI.  I see something very similar.  When AI is done thoughtfully, it’s largely embraced by the people in your organization.  In most cases, it’s replcaing the work we as humans don’t want to do anyway.

This is a topic we’ve been writing about here at Healthcare IT Today for over 15 years.  Doctors are incredible humans with incredible knowledge.  It’s amazing they do as well as they do.  However, the body of medical knowledge and the vast amount of patient clinical data that’s available today is too much for any human to process.  We’re going to have to partner with good AI and technology to be able to sort through it all.  I think it will eventually become medical malpractice not to do this.

This is a classic quote and something I see happen a lot in health IT.  Fix the process and then apply the technology.

That said, I know we had to implement the EHR for people to see how bad the process was.  Then, they were begging us to redesign the process to match what the technology can do.  So, there can be different approaches to getting to the right process.

Those were a few of the insights and perspectives I heard at MEDITECH Live.  I’d love to hear what else people heard since I missed a lot of great sessions when I was busy doing videos.  Thanks to MEDITECH for hosting us at the event.

A healthcare app can attract thousands of users while leaving its organization unable to explain how many successfully become active subscribers. Marketing sees campaign responses. Product teams see app activity. Subscription operations see accounts and contracts. Each team has a useful report, but the handoffs between those reports can conceal where people stop progressing.

For healthcare organizations offering digital subscriptions, activation should be a shared operational measure. The journey from an initial app open through registration, identity verification, account validation, and activation needs to be visible on the same dataset. Otherwise, teams can keep improving individual metrics while the overall experience remains difficult to complete.

Follow One Cohort Through the Whole Journey

In work with a European healthcare clinic offering personal, family, and corporate subscription plans, I encountered this fragmentation across mobile apps, a desktop portal, paid media platforms, and CRM systems. The clinic had the records needed to understand adoption, but answering a question that crossed systems required assembling the evidence again.

Once those sources were connected, one cohort showed 28,000 first app opens and 5,165 active users. The report put overall drop-off at 81.55%. More usefully, it showed where that drop-off occurred: 61.2% between first open and account creation, compared with 1.8% between account validation and activation.

Those figures changed the question teams could ask. An overall activation total says how many people reached the end. A connected funnel shows which transition deserves attention and which team needs to participate in understanding it.

Figure 1. A cohort-based onboarding view connects first app open, account creation, identity verification, account validation, and activation. The same report supports comparisons by plan, device, and enrollment route. Source: Witanalytica.

Agree on What Activation Means

Before choosing charts, agree on the event that marks each stage. An app install, a created account, and an active subscription represent different milestones. A report becomes difficult to interpret when departments use the same label for different events.

The agreement also needs to cover identity. Behavioral events may begin before a person has an account. CRM contacts and subscription records may use different identifiers. The analytical model must connect those records consistently so that teams can follow a person’s progress without counting each system’s record as a separate person.

This is where IT, product, marketing, and subscription operations need to work together. IT can build the joins, but the meaning of a successful registration or a completed activation belongs to the business process. The definition should be documented alongside the report.

Build a Common Analytical Foundation

For the clinic, I brought web and mobile analytics, onboarding events, CRM information, subscription plans, and acquisition costs into BigQuery. The implementation combined native exports and scheduled integrations, then standardized event fields and campaign data before joining them into shared models.

That sequence mattered. Putting files in one location would still have left analysts reconciling incompatible fields. A usable foundation required consistent customer identifiers, event definitions, and relationships between subscriptions and behavior.

Looker Studio and Tableau then provided different ways to explore the same foundation. Teams could examine a funnel, compare cohorts, or investigate a particular stage without rebuilding the underlying connections. Historical records also remained available for later cohort comparisons and retention analysis.

Compare the Routes People Actually Take

A healthcare subscription journey can differ considerably between a new individual customer and someone enrolling through an employer. Family members may enter through another route again. Combining all of them into a single activation rate can make the next action unclear.

The clinic’s model supported breakdowns by subscription plan, device, and enrollment route, including employees, spouses, children, referrals, and new individual customers. These comparisons gave teams a way to investigate whether a problem affected everyone or was concentrated in a particular experience.

The same principle applies to acquisition spending. Cost per install describes the beginning of the journey. Connecting acquisition and activation allows teams to examine cost per active user and discuss spending alongside the experience that follows the initial response.

Give Each Finding an Operational Owner

A shared funnel is most useful when it supports a shared review. For a stage with substantial drop-off, the relevant teams can examine the screen flow, verification requirements, communications, and support experience together. These findings can guide causal experiments, including randomized A/B tests. For example, teams could randomly assign users to the current onboarding flow or a revised version, then compare activation rates over the same period. Recording experiment assignments alongside funnel events would help establish whether the change itself improves activation. Subsequent cohorts can then show whether improvements persist.

This also creates a foundation for more advanced analysis. Joining behavior, CRM records, and subscriptions makes retention and churn modeling possible; in this project, that modeling work was ongoing. The immediate value was already available through a clearer view of activation.

Healthcare leaders can start with a straightforward question: can we follow the same group of people from first contact to an active subscription, and identify who owns each handoff? When the answer is yes, digital adoption becomes something the organization can manage across teams, with a common view of where people need help completing the journey.

About Christian Ionescu

Cristian Ionescu is Co-Founder and Lead Analytics Expert at Witanalytica, a data analytics consultancy. His work includes data warehouses, business intelligence, and automation for healthcare, manufacturing, and logistics organizations. He developed the healthcare subscription analytics implementation discussed in this article.

Angle Health, the first AI-native healthcare benefits platform, today announced a $600 million equity financing at a $2.7 billion valuation, consisting of a $200 million Series C financing and a $400 million tender offer. The round, led by Vitruvian Partners with participation from new investor Town Hall Ventures and existing investors Blumberg Capital, Portage Ventures, PruVen Capital, and Y Combinator, is expected to close later this month.

The announcement comes at a time when employers are facing the largest increase in health insurance costs in two decades. Small and midsize businesses are hit especially hard, with limited options that are costly, confusing, and difficult for employees to navigate, or simply unaffordable. This dynamic impacts a growing number of Americans as the U.S. Bureau of Labor Statistics has consistently reported small business employment growth outpacing that of larger businesses, a trend that is poised to accelerate as AI breaks down barriers to entrepreneurship.

“Access to great healthcare shouldn’t depend on the size of the company you work for,” said Ty Wang, Co-Founder and CEO at Angle Health. “Small businesses employ tens of millions of Americans, yet they have historically had the least options available to them for healthcare coverage and almost no control over its costs. We built Angle Health to fix that. This financing enables us to reach more of the local businesses that power our country and continue to deliver a personalized, higher-quality, more affordable healthcare experience to everyday Americans. We are particularly excited to partner with Vitruvian, as we specifically sought out a group with deep expertise at the intersection of healthcare, technology, and financial services and a proven track record of successfully scaling companies through growth-oriented partnerships.”

By combining a modern, AI-driven technology platform with an integrated approach to local, personalized healthcare access, Angle Health enables employers with as few as two employees to offer their employees sophisticated, customized benefits and personalized healthcare journeys, improving experiences and outcomes across the ecosystem. Employers choosing Angle Health benefit from increased choice, transparency, and stability. Their employees have access to an expanding suite of AI-powered navigation and targeted clinical capabilities, facilitating healthier, lower-cost, and more satisfied plan members, while concurrently removing administrative friction for the clinicians serving those members. The company’s Benefit Builder platform brings unprecedented transparency to group underwriting, allowing brokers to generate firm, underwritten quotes in minutes, customize plans in real time, and access the industry’s first-of-its-kind Health Scorecard. Today, the company serves over 5,000 employers with customizable plans available in 47 states.

“Angle Health has replaced the archaic systems and manual workflows of a century-old industry with a healthcare platform built for the AI-era,” said Jeremy Gelber, Partner at Vitruvian. “Its combination of technology, industry-leading growth and retention, and financial stability in an increasingly volatile market is proof that the team at Angle Health has built something truly needed. At Vitruvian, we focus on aligning capital with change, so we are thrilled for the opportunity to help Angle Health scale its impact and expand access to high-quality healthcare for working Americans.”

Building From a Position of Strength

Angle Health enters its next phase from a position of financial strength, with 120% year-over-year growth and four consecutive quarters of EBITDA and GAAP net income profitability. Angle Health now serves over 5,000 employers with nearly $1 billion in annualized premium-equivalents. Angle Health’s renewal pricing is consistently below market benchmarks, helping drive strong customer retention. This financing comes less than 10 months after announcing its Series B financing.

The capital will support Angle Health’s long-term strategy and mission to reimagine healthcare access in America by challenging the traditionally opaque, expensive, and disjointed experience offered by legacy insurers. Angle is investing in rebuilding the underlying infrastructure and pathways to care, making it easier for Americans to access high-quality treatment while helping businesses better manage healthcare costs. This includes continued investment in its AI-native technology platform and seamless navigation across hyper-local, condition-specific care options, creating greater transparency and a better experience for brokers, employers, employees, and the clinicians who serve them.

Continued Momentum

Beyond its financial and business performance, Angle Health continues to expand its ability to deliver more affordable, high-quality healthcare while helping employers manage rising costs. The company has launched care delivery programs with best-in-class partners to provide lower-cost, high-quality access to services including high-cost medications, infusions, outpatient surgery, and radiology. Angle Health has also delivered some of the most stable health plan renewal rates in the market, with median year-over-year rate increases of just 5-7%, compared with a median increase of 18% for SMBs.

These milestones reinforce Angle Health’s progress toward building a more efficient, affordable, and accessible healthcare experience for everyday Americans, starting with those who work for the small businesses that employ nearly half of Americans yet have long been an afterthought for the healthcare industry. Angle Health’s AI-native platform is helping to usher in a new era of healthcare access, where affordable, high-quality care can be available to all Americans.

About Angle Health

Angle Health connects thousands of employers and their employees to transparent, affordable healthcare. Through its AI-native healthcare benefits platform capable of end-to-end health plan administration, Angle Health enables businesses of any size to offer custom, integrated benefits and personalized healthcare experiences. The Angle Benefit Builder and Quote-to-Card platforms enable brokers to generate firm underwritten quotes in minutes with just a census and implement groups in real-time. To learn more, visit anglehealth.com.

About Vitruvian

Vitruvian Partners is a global growth-focused investor with offices across London, Miami, San Francisco, Dubai, Luxembourg, Madrid, Mumbai, Munich, Shanghai, Singapore and Stockholm. Vitruvian focuses on dynamic situations characterised by rapid growth and change across asset-light industries. Vitruvian has over $23 billion of active funds which have backed many leaders in their sectors, including CRF Health, Medison Pharma, Just Eat, EasyPark, Skyscanner, Wise, Global-e, CFC, and Darktrace. Further information can be found at vitruvianpartners.com

Originally announced September 18th, 2026

The first part of our interview is devoted to security incidents. Bittle points out that while open source code (and nowadays AI) makes it easier for malicious intruders to attack, it also makes it easier for researchers to uncover bugs, and for Innovar to provide patches.  This actually happened recently when researchers discovered a security issue with the open source Mirth Connect project which Innovar Healthcare and the community forked to create BridgeLink.  Once Innovar and the BridgeLink community learned about the security issues, they were able to address them quickly. Bittle says it is no longer safe to rely on the unmaintained open source Mirth Connect project for security updates.

Bittle also shared with us some of the improvements made to the open source code after Innovar forked the original project to create BridgeLink a year and a half ago. In addition to creating the many necessary patches that had piled up, Innovar replaced the “clunky” and obsolete user interface with a web-based interface, WebAdmin, which is sleek and can run on a mobile phone. It also developed a number of tools that facilitate the administration of multiple BridgeLink instances, including a control plane known as Fleet and more fine-grained alerting.

Some recent accomplishments of interest: the company helped HHS repatriate some people in Kenya by extracting clinical data from Kenyan systems. For FEMA, Innovar helped obtain patient data during disaster relief. In general, Bittle says, Innovar does the “last-mile” integration and interface work for health IT companies and providers so providers can focus their staff on patient care.

Watch our interview with Loyd Bittle from Innovar Healthcare to learn more about the progress of the open source interoperability project BridgeLink.

Learn more about Innovar Healthcare: https://www.innovarhealthcare.com/

Learn more about BridgeLink: https://www.bridgelink.net/

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Broadcom acquired VMware and changed how its software is sold. Perpetual licenses are gone, subscription prices are rising, and legacy contracts are expiring. This leaves you to pay more for existing infrastructure or transition to an alternative platform.

For clinics, the biggest hurdle to switching platforms is the fear of migration downtime. While infrastructure doesn’t replace the core EHR application itself, it powers everything surrounding it, like clinical databases and scheduling software to billing systems and PACS imaging. If those underlying systems go offline, doctors can’t open patient charts, digital prescriptions stall, and workflows grind to a halt.

Evaluating alternative platforms gives your health system an opportunity to find new architecture that supports HIPAA requirements and fit the management bandwidth of your internal IT staff. For many clinics, switching to a Hyperconverged Infrastructure (HCI) platform like Nutanix provides the architecture needed to migrate without going offline while simplifying long-term management. 

Understanding Hyperconverged Infrastructure 

Hyperconverged Infrastructure (HCI) replaces separate server hardware, storage networks, and hypervisors with a single operational system.

Instead of managing three separate layers, your IT team operates everything through one platform. Existing medical software, clinical scheduling tools, and supporting databases migrate over as-is, eliminating the need to re-architect or modify application code for your non-EHR workloads.

To transition off VMware without taking clinical systems offline, IT teams use a continuous replication approach:

• Parallel Setup: Your new HCI platform is configured alongside your active VMware environment.
• Background Mirroring: Data copies over in the background while doctors and nurses continue seeing patients as normal.
• Off-Hours Cutover: Once synchronization is complete, the final switch happens during a brief, scheduled off-hours window, leaving the legacy VMware setup intact as a safety net.

Beyond the migration itself, HCI improves daily clinical performance. IT teams can isolate resource-heavy applications, like X-ray imaging, into dedicated resource pools so large image files never slow down your primary EHR. Additionally, combining compute and storage into defined nodes removes surprise fees and locks in predictable licensing costs.

Maintaining audit-ready compliance 

Healthcare auditors and cyber insurance providers require proof that clinical systems are protected. HCI platforms like Nutanix build compliance safeguards into the system. 

Instead of requiring extra software add-ons, Nutanix handles technical security automatically. Patient files are encrypted at rest, user access is restricted based on job roles, and daily system activity is logged continuously so you have the documentation when auditors ask for it. 

When setting up an HCI environment, you can choose between two models based on your risk tolerance. Both options isolate patient records to align with HIPAA guidelines. 

• Multi-Tenant Model: Your health system shares physical server hardware with a small, group while keeping patient data logically separated.
• Dedicated Model: Your health system uses server hardware reserved exclusively for your organization, eliminating shared-tenant exposure entirely.

Using managed cloud to reduce internal IT workload

Before switching platforms, you need to decide who will execute the transition and handle day-to-day server maintenance: your internal staff or an external managed partner.

Once you select an HCI platform, someone still has to configure the parallel environment, manage data replication, apply monthly security patches, and respond to hardware alerts. When lean IT teams spend hours troubleshooting hardware and patching backend servers, they have less time to support front-line clinical needs.

Partnering with a managed cloud provider addresses both the transition and ongoing maintenance. Engineers manage the parallel configuration, monitor background data replication, and execute the off-hours cutover so your internal team does not bear the operational risk alone. Following the migration, the provider handles ongoing patching and hardware monitoring. .

When health systems pair a hyperconverged platform like Nutanix with a managed cloud partner, they gain built-in data security, resource isolation, and predictable costs without overburdening internal staff.

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

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

• Patient Access Assoc I – R1 RCM
• Manager Case and Disease Mgmt – Corewell Health
• Credentialing Coordinator – Mount Carmel Health System
• Health Information Specialists 1 – Datavant
• ASC Clinical Director – Dickson Medical Associates
• VP, Practice Technology – OneOncology
• Behavioral Health Technician (Greenbrook) – Neuronetics, Inc.
• Senior Director – Enterprise Applications – Pharming Healthcare, Inc.
• Chief Medical Information Officer – MultiCare Health System
• Manager, IT Infrastructure PMO – Cardinal Health
• Staff VP Deputy CISO – Elevance Health
• Manager Information Technology Division – Cleveland Clinic
• Data Entry Specialist (Healthcare) – Addison Group
• Clinical Informatics Director – Ascension
• Data Coordinator (Healthcare) – TEKsystems
• Health Information Specialist – VieMed Healthcare
• Patient Access Coordinator – Family Care Center
• Sr. Director of Medical Economics & Informatics – Integra Connect
• Clinical Informatics Systems Analyst I – Epic Analyst – Cupid/Cardiology – CHRISTUS Health
• Regulatory Data Specialist – Hospital Services – Hartford HealthCare

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.