Wednesday, May 13, 2026

< + > How Corewell Health Integrated Epic and Illumia’s NetMenu to Cut Waste and Improve Patient Safety

When three hospital systems merged to form Corewell Health, leaders faced a choice: stitch together legacy databases or start fresh. They chose the latter, consolidating onto a single instance of Epic’s EHR and implementing a new centralized foodservice platform Illumia’s NetMenu. They used the unique opportunity of the Epic “reset” to establish a shared foundation that would allow them to operate as one organization.

Healthcare IT Today sat down with Anthony (Tony) Boggs, Senior Director of Support Services at Corewell Health. He shared how standardizing on NetMenu, timed with their move to a single Epic instance, created an opportunity to rethink and modernize adjacent systems like foodservice. This drove operational efficiencies, improved visibility, and enhanced patient safety across their 24 hospitals.

Key Takeaways

  • Standardization drives efficiency. Moving to Illumia’s unified platform allowed Corewell Health to slash food SKUs by 70%, reducing waste and generating the ROI needed to fund the project.
  • Epic integration supports patient safety and dietary accuracy. Connecting NetMenu directly to Epic automates dietary compliance, ensuring patients only receive meals that match their clinical requirements and allergy profiles.
  • Hospital food service is a retail business. With 80% of meals going to staff and visitors, integrating point-of-sale data with back-end inventory is critical for financial performance.

Cutting SKUs to Reduce Waste and Fund Innovation

After the merger, Corewell Health wanted to operate as a single, unified organization. To do that, they needed a singular technology foundation. Unifying their foodservice operations on Illumia’s NetMenu allowed them to evaluate their purchasing at scale and eliminate redundancies.

The financial impact became clear over time. “When we look at SKUs or the number of products that we have, I mean, we’ve already reduced about 70% of our SKUs that we had when we started,” Boggs shared.

Dropping from a dozen different chicken tenders down to just two gave Corewell Health massive buying power. This consolidation reduced food waste, simplified operations, and delivered the hard ROI required to justify the technology investment to the C-suite.

Just as important, the system gave the Corewell team operational visibility they did not have before (ie: across purchasing, ordering patterns, and performance). That visibility allows them to make more informed decisions.

EHR Connectivity Automates Dietary Safety

The true power of the new foodservice platform was unlocked when it was connected to Corewell Health’s single instance of Epic EHR. Instead of relying on manual checks or duplicate data entry, the NetMenu system automatically cross-references a patient’s clinical requirements with available food options.

This creates an accurate, safe experience tailored to each patient’s clinical requirements. Boggs described the workflow: “We are getting our patient diet from Epic, and then our nutrition technology NetMenu actually says, is this chicken breast compliant to this diet that the clinical team has prescribed?” The system immediately flags allergens and nutritional content, preventing potential errors before a tray ever leaves the kitchen.

Retail Infrastructure for a Retail Operation

It is easy to assume hospital nutrition software focuses strictly on patient trays. The reality is quite different. Most meals served in a hospital are purchased by staff and visitors, meaning the underlying technology must function like a high-volume restaurant.

“What people don’t know is that a lot of healthcare systems actually serve a lot more retail meals than they do patient meals,” Boggs noted. “At Corewell, we’re at 80% retail and only 20% patient. It’s a whole lot more than just patient trays.”

To manage this, Corewell Health is implementing an Illumia point-of-sale system called Quick-Charge to integrate directly with NetMenu. This allows operations teams to accurately track sales data, monitor food costs, and manage inventory in real time based on actual consumption. That retail demand helps inform purchasing decisions, cost control, and inventory management.

The Bottom Line for Health IT Leaders

Technology consolidations following a merger are inherently difficult. Many opt to try to make old systems talk to one another – a productivity mirage. Corewell Health shows that building a completely new foundation pays dividends. By establishing a shared technology foundation and aligning/integrating systems early (Illumia’s NetMenu + Epic), they created a system that improves safety, reduces waste, and drives operational efficiency.

What Healthcare IT Leaders Are Asking

Why is a single EHR instance critical for auxiliary department software? Operating on a single EHR instance simplifies the integration architecture for all downstream systems. Instead of building and maintaining multiple interfaces to route patient data to a department like nutrition services, IT only has to manage one connection. This reduces technical debt and ensures data consistency across the organization.

How does point of sale data improve hospital food service operations? Point of sale systems provide real-time visibility into what items are selling in hospital cafeterias and retail spaces. This data allows operations teams to accurately track inventory, calculate exact food costs, and automate reordering processes. It prevents waste and helps the organization negotiate better pricing based on actual consumption metrics.

How does an EHR migration create an opportunity to modernize foodservice technology? When a health system commits to an EHR migration, they have a massive IT project ahead of them. Organizations that use the go-live as a forcing function to modernize both systems simultaneously find that building one clean integration is far less work than doing it twice. When both launch together, diet data flows correctly from day one, eliminating the patient safety risk of a temporary integration.

Learn more about Corewell Health at https://corewellhealth.org/

Learn more about Illumia at https://illumiatech.com/

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< + > One in a Hundred: The Incidental Finding Problem Emergency Medicine Can’t Ignore

The following is a guest article by Justin Schrager, MD, Co-Founder and CMO at Vital

Picture a typical day in a busy emergency department, where about 100 patients come through the door. Statistically, one of these patients will leave the ED with an unaddressed but clinically urgent incidental finding — something found by the radiologist on an imaging study – that no one told them about. 

An example might be a lung nodule found on an X-ray taken to evaluate a shoulder injury. And, because a lung nodule is not typically an emergency, but a shoulder dislocation almost always is, the nodule can “fly under the radar.” There are a variety of reasons why a patient might not be told about their lung nodule; these include everything from timing and complexity to pain level, mental and psychological readiness, or a simple oversight. In my clinical experience, this communication gap isn’t due to carelessness; it stems from the relentless pace of emergency medicine and a system that isn’t designed to catch everything.

Incidental findings are a routine byproduct of modern imaging, as are the frequent instances in which doctors in the hospital do not communicate these new findings to their patients. However, unlike other patient safety and care quality challenges (for example, preventing hospital acquired infections or falls), the disclosure of incidental findings and the subsequent care planning that needs to happen after the disclosure, span the inpatient-outpatient world and are therefore more vulnerable to the relatively archaic communication systems we use in healthcare: patient portals that not everyone uses, fax machines, delayed letters in the mail. 

Unfortunately, incidental findings are not rare. In trauma patients receiving CT scans, incidental findings appear in roughly 30–35% of studies. Among all ER patients, approximately 1 in 12 will have a new finding they’ve never been told about. Of that group, a further one in twelve will go on to experience a clinically meaningful outcome — cancer within five years, a procedure they needed, a condition that could have been managed earlier. 

The issue isn’t a lack of effort or intentionality — it’s infrastructure.

In the ER, physicians are necessarily focused on the acute problem that brought the patient in. Radiologists who identify incidental findings aren’t at the bedside. Hospitalists and other inpatient clinicians may be treating entirely different issues days or weeks later. Primary care physicians often lack an efficient way to review and act on results immediately after a hospitalization. And the patient—the most important stakeholder—is often too ill or not in the right frame of mind to track something that requires follow-up months later.

The result is a fragmented system with no reliable, scalable way to identify, track, and close the loop on these findings.

AI-powered tools are now changing that calculus. Purpose-built systems can continuously scan clinical notes, discharge paperwork, and radiology reports to identify findings that appear to have gone uncommunicated. When a gap is detected, it’s flagged for clinical review — surfacing the relevant context and making it easy to act quickly. A single clinician in a care coordination role can monitor findings across an entire facility, turning what would otherwise be a logistical nightmare into a manageable, auditable daily workflow.

When outreach is warranted, these systems give clinicians the flexibility to call patients directly or send a secure, personalized message — including plain-language educational content tailored to the specific finding. Every interaction is tracked, every touchpoint logged, and the status of each outreach is visible in real time.

Beyond the patient harm that goes unaddressed, the medico-legal exposure is significant. Missed incidental findings are among the most common sources of diagnostic error claims in emergency medicine. 

Because of recent technological advancements, the infrastructure to close this care gap exists today. We no longer need to force clinical staff to sit on the phone for hours on end or pay third-party services exorbitant prices to do this for us. For health systems ready to take this step, the question is no longer whether to act — the ability to solve this problem (and many similar ones) is now more approachable, affordable, and actionable than ever. I also suspect that for health systems that take this initiative, there will be a true windfall manifested by improvements in system loyalty, market share, and patient experience.

About Justin Schrager, MD

Justin Schrager is an Emergency Medicine physician, Co-Founder, and Chief Medical Officer at Vital. He practices medicine while leading the development of AI-powered technology solutions to improve acute patient care. He is the author of 20+ papers on advancing AI in healthcare. His mission: use technology to improve the acute care experience for patients, families, and clinicians.



< + > This Week’s Health IT Jobs – May 13, 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 12, 2026

< + > The Role of Technology in Aligning Payer and Provider Goals Around Value-Based Care and Quality Measurement

Technology is a vast umbrella term that covers so many aspects in healthcare, ranging from the smaller side, like healthcare apps and personal wearable devices, to the larger side, like artificial intelligence and precision medications. This makes it very difficult to be aware of all the technology in healthcare and how it’s useful in all of the many aspects of healthcare. So today, we are going to narrow this wide field down by focusing our attention on the technologies that are helpful in aligning payer and provider goals.

We reached out to our incredible Healthcare IT Today Community to ask — what role does technology play in aligning payer and provider goals around value-based care and quality measurement? Below are their responses.

Kempton Presley, CEO at AdhereHealth
Facilitating shared visibility, decision support, and interpretation, technology is essential to aligning payer and provider goals in value-based care. Data integration with advanced analytics flags members who are nonadherent, overdue for screenings, or trending toward higher utilization—allowing teams to prioritize outreach and close multiple quality gaps in a single interaction. That precision improves efficiency and strengthens shared accountability.

But technology isn’t the strategy. It’s the tool. AI can flag that a prescription wasn’t picked up; without proper training, the model can’t reliably uncover why. Human insights regarding transportation barriers, cost-driven refill delays, or a patient’s choice of groceries over medications require an emotional quotient that a generative model cannot emulate. Those insights require conversation, trust, and personal judgment. In value-based care, analytics surface shared risks to each stakeholder, but empathy and behavioral expertise from payor and provider constituents alike turn data into adherence, quality improvement, and lasting outcomes.

Lindsay Porter, VP of Coding and Clinical Solutions at AGS Health
Technology doesn’t just support VBC; it is the instrumental link between payers and providers to make alignment scalable and sustainable. Interoperable platforms, EHR integrations, FHIR standards, and advanced analytics create a unified “single source of truth” from clinical, claims, social determinants, and other data sets. This interoperability builds trust, reduces silos, and enables real-time tracking of key metrics like HEDIS scores, STAR ratings, and care gaps.

AI and predictive tools further support this alignment by automating gap closure, risk stratification, clinical decision support, and administrative tasks (e.g., prior authorizations), which shifts the focus to high-value care. Intentional integration will lead to the ultimate shared goal: better population health, lower costs, improved patient experience, and provider satisfaction.

Carol Skenes, Chief of Staff & Principal Regulatory Strategist at Turquoise Health
VBC and quality measurements are often tied to longer episodes of care that involve multiple appointments, providers, and types of care. For example, an orthopedic surgery episode may involve multiple consults, imaging, pre-op, the actual surgery, and a series of post-op appointments. Technology allows for a comprehensive view of those appointments to help ensure patients are getting the right level of treatment and minimize the risk of complications or readmissions.

As far as reimbursing these episodes of care, I also view technology as the solution to simplifying care bundles. Right now, VBC care and quality are tracked across each of the services and appointments using proprietary codes; however, an open source singular code for the entire episode of care can help simplify tracking, payment, and goals alignment to encourage more VBC and episodic-based contracts between payer and providers.

Kengo Takishima, Chairman and CEO at Baylor Genetics
Genomic sequencing technology, such as rapid whole genome and whole exome sequencing, can play a pivotal role in aligning payer and provider goals because of its ability to deliver timely genetic insights that can be vital to support accurate diagnoses and more personalized patient care.

For patients with rare or undiagnosed diseases, their genes often hold the key to getting the answers they need. Access to genomic sequencing from the beginning can provide insights that inform a clearer diagnosis earlier in the care journey – ultimately supporting more targeted medical management decisions, connecting families to the right specialists, guiding long-term care planning, and improving quality of patient care and outcomes.

For value-based care, that speed and accuracy can translate directly into measurable impact: accelerated time-to-diagnosis and improved outcomes, fewer unnecessary appointments and procedures, avoidance of ineffective treatments, and reduced long-term costs across the system. In that way, genomic sequencing technology serves as a powerful bridge between providers focused on clinical excellence and payers focused on sustainable, outcomes-driven care.

Theo Koury, MD, President at Vituity
Technology plays a critical role in aligning payer and provider goals because it creates shared visibility into both clinical outcomes and the operational drivers of cost. In value-based care, alignment depends on transparency, efficiency, and trust across the ecosystem. Payers and providers ultimately want the same outcome: high-quality care delivered sustainably.

One of the greatest barriers to achieving that goal is administrative complexity. Healthcare bureaucracy is estimated to account for 15%–30% of total national health expenditures, meaning hundreds of billions of dollars tied to manual processes, redundant workflows, and fragmented or inaccurate information. Thoughtfully deployed technology can help address this challenge. Automation, interoperable data systems, and real-time analytics reduce administrative friction, improve data accuracy, and streamline processes like quality reporting, authorization workflows, and performance measurement. When both payers and providers are working from the same reliable data, quality metrics become clearer and incentives align.

Technology also enables proactive care through decision support and predictive insights that help clinicians intervene earlier and reduce unnecessary utilization. Real progress requires collaboration, and technology alone cannot solve misalignment. It must be implemented through shared accountability between payers, providers, and technology partners working toward better outcomes and a more efficient healthcare system.

Carney Taylor, MD, MBA, Chief Medical Officer at Interwell Health
Technology is critical to aligning payer and provider goals in value-based care because it creates a shared, longitudinal view of the patient and embeds quality into everyday practice. In kidney care, data is fragmented across specialties and venues of care. If we can’t connect that information, we can’t proactively manage risk or consistently perform against quality measures. That’s why we collaborate with payers to aggregate and analyze data across the continuum and present it in a way that follows the patient—so providers can intervene earlier to improve outcomes and reduce total costs of care.

Just as important, technology has to fit the workflow. We can’t expect clinicians to log into another platform. Quality insights must be embedded directly in the EHR at the point of care to surface care gaps, recent hospitalizations, and next-best actions in the moment decisions are made. When predictive analytics and population health tools are integrated into a nephrology-focused system, quality measurement becomes part of care delivery, not a separate reporting exercise.

Payer and provider alignment is also built on trust and transparency. Our technology is built to address the needs of our payer and provider partners, and our AI tools operate in secure environments with full traceability following human-in-the-loop principles. The goal is to augment clinical judgment, not replace it, to enable exactly the kind of personalized, proactive, and efficient care that value-based models are designed to reward.

Jeff Bennett, Chief Strategy and Innovation Officer at Modivcare
Technology plays a central role in aligning provider and payer goals in today’s healthcare environment. Interoperable remote monitoring solutions give clinical teams a clear and consistent view of members’ health journeys, while equipping payers with data and insights to measure care plan effectiveness that happens outside of the traditional clinical setting. With a data-driven foundation, both parties can clearly define and track care quality and ensure measurable health outcomes are aligned with value-based care.

Data and care insight accessibility within a coordinated care ecosystem allows providers to deliver more proactive care while fostering better alignment around quality improvement across the industry. Ultimately, this translates to quantifiable improvements in both member outcomes and total cost of care, and ensures that value-based care benefits providers, payers, and members alike.

Suhas Ramachandra, VP Product Strategy & Innovation at ZeOmega
Technology has become the execution layer of value-based care. It must translate contract terms, quality measures, and utilization policies into real-time, actionable workflows that connect clinical activity to financial performance. When payers and providers operate from a shared, normalized data model, alignment improves, and accountability becomes measurable, not theoretical.

Stephen Vaccaro, President at HHAeXchange
In home care, technology is essential to aligning payer and provider goals around value-based care and quality measurement. Because care is delivered in the home rather than a facility, consistently measuring quality depends on real-time documentation. When caregivers record point-of-care observations using interoperable systems that are connected to payers and state Medicaid programs, they ensure everyone is operating from the same central data set. That shared visibility makes it easier to track outcomes, monitor adherence to care plans, and reflect reimbursement for the quality of care delivered.

Technology also strengthens the operational processes behind value-based reimbursement. When documentation, authorizations, quality reporting, and billing are connected instead of managed separately, agencies can reduce administrative workloads and better align their operations with payer requirements. Timely, accurate data improves billing reliability and helps prevent reimbursement delays. Integrated technology syncs care delivery and payments by making quality tracking a part of everyday operations rather than an added reporting requirement.

Elevsis Delgadillo, SVP, Customer Success at KeenStack
Technology is foundational for enabling true value-based alignment. Predictive analytics help forecast patient health risks, utilization, and cost trends so both payers and providers can act proactively. AI-powered decision support reduces variability at the point of care, while risk stratification and care gap identification directly connect quality outcomes to financial performance.

Monte Sandler, Chief Operating Officer at WebPT
Technology allows providers to automate the complexity that historically required heavy manual oversight. AI can manage thousands of payer-specific rules, coding combinations, and exceptions simultaneously, which reduces friction in the revenue cycle. When administrative waste goes down, and payment becomes more predictable, both providers and payers benefit operationally. That alignment supports broader goals around efficiency and value.

Kevin Ruane, Practice Leader, Analytic Advisory at Truven
Healthcare organizations increasingly recognize that effective claims management, utilization review, and care coordination require a truly holistic analytics strategy. Members are more than a single metric—clinical, behavioral, social, and financial health all intersect to shape outcomes. That’s why leading payer–provider ecosystems are moving beyond siloed datasets and embracing diverse sources, from clinical records and social risk indicators to financial data and program participation.

To unlock member insights, it is now essential to use an analytics platform that integrates all data sources. These integrated, multiple perspectives power advanced machine learning models, as organizations gain a clearer, more actionable view of cost drivers, care needs, and member engagement in healthcare. The result is more accurate interventions, utilization decisions, and care pathways that improve both affordability and the member experience.

Dan McDonald, Co-Founder and CEO at 86Borders
Technology plays a critical and supportive role in aligning payers and providers around value-based care and quality metrics like Centers for Medicare & Medicaid Services (CMS) Star Ratings and the Healthcare Effectiveness Data and Information Set (HEDIS). Data platforms can identify care gaps, stratify risk, and flag members who are overdue for screenings, or managing complex chronic conditions, behavioral health, and/or social determinants of health (SDOH) barriers.

It is important to note that the real alignment happens when those insights are paired with human-centered outreach. Simply sending automated reminders often leads to message fatigue and disengagement. When care coordinators use technology to prioritize outreach — establish a “human-to-human” conversation, then build trust, address immediate barriers, and coordinate with providers — quality scores improve, unnecessary utilization declines, and both payer and provider performance goals are met more effectively.

Derek Plansky, SVP Governance & Solutions at Health Gorilla
Technology plays a critical role in aligning payer and provider goals under value-based care. It makes quality measurement and utilization insights more efficient, transparent, and actionable. Interoperable data infrastructure enables clinical, quality, and administrative data to be used consistently across organizations. This shifts the focus from collection to outcomes and enables more confident performance measurement.

Julie Scherer, President and Chief Solutions Officer at Motive Medical Intelligence
Evidence-based clinical analytics focused on waste, appropriateness, and quality of care are a key technology for aligning payer and provider goals in value-based care, a holy grail we are trying to universally achieve in the U.S. health system. Clinical analytics systems that measure individual physician performance deliver expert insights that align payers’ cost-reduction priorities with providers’ commitment to appropriate, high-quality care. By analyzing settled claims data against established standards-of-care guidelines, these systems identify unnecessary, inappropriate, and wasteful care — a critical component of value-based alignment and success.

So many great points to consider here! Huge thank you to everyone who took the time out of their day to submit a quote to us! And thank you to all of you for taking the time out of your day to read this article! We could not do this without all of your support.

What role do you think technology plays in aligning payer and provider goals around value-based care and quality measurement? Let us know over on social media, we’d love to hear from all of you!



< + > AI in Patient Access

The following is a guest article by Stephen Dean, COO at Keona Health

Three weeks ago, a health system CIO told me her patient satisfaction scores dropped after she deployed an AI scheduling tool. She’d expected the opposite.

I wasn’t surprised. I’ve been building patient access systems for 13 years, and I’ve seen this happen often enough that I’ve stopped calling it a paradox. It’s a predictable outcome of a category mistake most health systems are making right now.

The mistake is treating patient access as a collection of channels when it’s actually a single workflow that runs across all of them.

Most health systems today have a scheduling tool, a nurse triage line, a digital front door of some kind, maybe a chatbot, and an intake process. Each was bought separately, implemented separately, and is measured separately. The vendor for your scheduling tool isn’t accountable for what happens when a patient fails to complete the digital journey and calls your triage line instead. Nobody is.

So what happens? The nurse picks up the phone and starts from scratch. She doesn’t know the patient spent 20 minutes on your website last night before giving up. She doesn’t know they were trying to schedule their eight-year-old and couldn’t find a pediatric slot. She asks questions that the patient has already answered online. The patient is irritated before they’ve said more than their date of birth.

Average handle time goes up. Patient satisfaction goes down. Your AI investment looks like it failed. It didn’t fail. It just exposed a gap that was already there.

That gap — the space between your digital front door and your phone workflow — is where patient access actually lives. It’s not a technology problem. It’s an architecture problem, and no single vendor is going to solve it for you unless the system treats all your access channels as one thing.

The organizations I’ve seen get this right share one characteristic: they defined what success looks like at the handoff. Not within a single channel, but between them. What happens when digital fails? What does the phone agent see? What does triage know? If the answers are “nothing” and “whatever the patient tells us,” you have a gap.

At Keona, we built CareDesk to close that gap — phone, text, web, and nurse triage in one AI-assisted workflow, connected directly to the EHR. I’m not saying that to pitch our product. I’m saying it because the architecture decision is the one that actually matters, and most of the market is still selling features when the real question is infrastructure.

EmergeOrtho and Intermountain Healthcare both came to us after investing in access technology that had done exactly what it was supposed to do and still left them with frustrated patients and overwhelmed staff. In both cases, the problem wasn’t any one tool. It was the seams between them. Within 90 days of deploying a unified workflow, both organizations could finally see what was happening across all their access channels in one place. That visibility alone changed how they made decisions.

You can’t fix what you can’t see. And you can’t see your patient access operation clearly when the data lives in four different vendor portals with four different definitions of “completed appointment.”

One question I’d ask before any access technology investment: when a patient falls off this channel, where do they go, and does the next system know they were there? If the vendor hesitates on that question, you’re probably buying another silo.

Your patients will figure that out faster than your dashboard will.

About Stephen Dean

Stephen Dean is COO at Keona Health. He has spent 13 years building patient access systems for health systems ranging from independent practices to large integrated delivery networks.



< + > Med Tech Solutions Acquires Avarion | Medisolv Acquires Health Elements 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.


Med Tech Solutions Acquires Avarion, Strengthening Its Role as a Managed Service Provider Across the Full Care Continuum

Med Tech Solutions (MTS), a leading provider of managed healthcare IT services, today announced the acquisition of Avarion, a two-time Best in KLAS HIT Advisory firm serving hospitals, health systems, and care networks. The acquisition accelerates MTS’s growth as a managed service provider supporting the full continuum of care, from ambulatory and community-based care settings to complex acute care environments.

The combination unites MTS’s EHR managed services, application support, and technology infrastructure expertise with Avarion’s deep experience in healthcare IT advisory, consulting, and leadership services. With the acquisition, MTS is now further positioned to help healthcare providers competitively navigate increasing regulatory complexity, workforce strain, and technology-driven change across the enterprise.

“Healthcare organizations are looking for trusted partners who can support them across the entire care continuum—not just at a point in time, but over the long term,” said Mona Abutaleb, Chief Executive Officer at Med Tech Solutions. “The addition of Avarion strengthens MTS’s ability to serve providers across ambulatory and acute care environments by pairing strategic guidance with comprehensive, hands-on managed services. Both organizations share a strong service culture and a commitment to helping clients operate effectively, so they can stay focused on patient care.”

Formerly known as Huntzinger Management Group, Avarion is a trusted partner to healthcare organizations, delivering results through data-driven strategy and disciplined execution. Led by experienced executives, clinicians, and technologists, Avarion provides guidance that drives immediate impact while creating sustained value for evolving healthcare organizations. These capabilities strengthen MTS’s ability to support healthcare organizations as both a strategic advisor and long-term strategic partner.

As part of the transaction, Avarion CEO and Founding Partner, Robert Kitts, will report to Abutaleb and lead MTS’s strategic advisory and staffing services.

“Joining Med Tech Solutions represents a natural evolution for Avarion and a powerful opportunity for our clients,” said Kitts…

Full release here, originally announced May 6th, 2026.


Medisolv Acquires Health Elements AI to Reinvent How Healthcare Organizations Capture and Use Quality Data

AI-Driven Data Abstraction will Substantially Reduce Manual Workload, Improve Access to Clinical Data, and Expand Medisolv’s Impact Into Registries and Proactive Quality Improvement Initiatives

Medisolv, Inc., a national leader in healthcare quality data management, today announced the acquisition of Health Elements AI, whose technology helps capture and structure clinical data from medical records for quality reporting and clinical registries. The acquisition helps reduce the administrative burden of manual chart review, improves access to additional clinical data, and broadens Medisolv’s quality reporting and analytics capabilities.

As quality programs continue to expand across regulatory bodies, professional associations, and value-based care payment models, healthcare organizations are under increasing pressure to work with data that is often fragmented, incomplete, ungoverned, and difficult to use. Much of the information needed for reporting and performance improvement still requires time-intensive manual review, creating an administrative burden and slowing action.

For Medisolv, this is a natural next step. The company has long helped healthcare organizations report, validate, and act on quality data. Today, Medisolv works with more than 1,800 healthcare organizations nationwide, supporting over 500 quality and safety measures and managing more than 140 million patient records across its customer base.

The addition of Health Elements AI directly impacts the front lines of quality data creation, enhancing the work of more than 4,000 chart abstracters supported by Medisolv, who collectively reviewed nearly 3 million cases last year. At a time when healthcare organizations are under increasing pressure to do more with less, this reduces the reliance on time-intensive manual chart review while improving how clinical data is captured. This enables organizations to move faster, scale more efficiently, and act on more complete and reliable data.

With that scale and depth, Health Elements AI expands further upstream into how data is captured and prepared, strengthening Medisolv’s ability to deliver complete, reliable data for reporting, submission, analytics, and performance improvement.

The acquisition also expands Medisolv’s reach beyond traditional CMS and accreditation programs into clinical registries and specialty-driven quality initiatives, including…

Full release here, originally announced April 30th, 2026.



Monday, May 11, 2026

< + > MedFlorida Uses ClinicalWorks’ AI Solutions as a Growth Enabler

Implementing AI for revenue cycle management (RCM) can feel like walking a tightrope. After all, RCM is the lifeblood of clinical practices. Failure here means claims pile up and cash flow stops. One organization decided to move ahead and is now able to scale their practice without having to add hard-to-find billing resources.

Healthcare IT Today sat down with Robert DeLuca, EHR Innovation Administrator at MedFlorida Medical Centers. We explored the realities of deploying eClinicalWorks AI tools, particularly for RCM, and how getting it right benefits both clinicians and the billing team.

Key Takeaways

  • AI is a Growth Engine: AI in the revenue cycle is about scaling a practice efficiently. By speeding up the billing process, practices can confidently expand locations and add new providers without straining their existing administrative infrastructure.
  • Nip Claim Rejections in the Bud: The best time to fix a claim is before it ever leaves the exam room. Point-of-care AI that prompts clinicians to correct insufficient documentation immediately eliminates the time-wasting back-and-forth with the billing department.
  • Ambient Listening is a Powerful Recruiting Weapon: Ambient AI scribes have evolved from a simple documentation aid into a non-negotiable recruiting asset. Recognized widely by clinicians as a way to reduce charting fatigue, AI scribes are now seen as a must-have.

AI is a Growth Engine

For DeLuca, Implementing automation is fundamentally about increasing capacity and not about cutting staff. MedFlorida wanted to expand and he understood that their internal administrative workflows needed to keep pace. DeLuca believed that AI could provide the efficiency that they needed to scale.

“Our goal with AI for billing was to make it more efficient so that we can take on more and grow,” DeLuca stated. MedFlorida successfully implement eClinicalWorks’ RCM AI. With it, the organization can manage a higher volume of claims smoothly without the need to add billing staff who are increasingly difficult to hire and retain.

Nip Claim Rejections in the Bud

A rejected claim is a massive drain on resources. It creates a frustrating loop between the billing department and the provider. Catching documentation errors at the point of care changes the entire dynamic.

With eClinicalWorks’ RCM AI, the system alerts a clinician that information may be missing in order to bill properly. By prompting immediately, the fix takes seconds, without any back-and-forth with the billing team.

“It’s hard to quantify exactly, but you can imagine how much time that is saved,” explained DeLuca. “Had that claim been submitted, it may have been rejected or the billing department may have caught it. In either case, they would have to send that progress note back to the clinician to fix it. With eClinicalWorks the clinicians knows to fix it in the moment.”

That simple prompt eliminates the claim reject-fix loop that is universally despised.

Ambient Listening is a Powerful Recruiting Weapon

Clinicians documenting late into the night benefits no one. Introducing ambient listening tools directly targets this “pajama time”, keeping providers focused on patients instead of screens.

The technology is so effective that it has become a core part of the hiring pitch and a retention tool. “I know for a fact that when clinicians leave our practice, wherever they’re going, they’re looking for ambient listening because they’ve had it here,” observed DeLuca. “They’re addicted to it, and they don’t they don’t want a workflow without it,”

DeLuca firmly believes that if you are not offering these tools, you are losing top talent to practices that do.

The Bottom Line for Health IT Leaders

For DeLuca and MedFlorida, eClinicalWorks’ RCM AI is tool that enables growth and expansion. By eliminating time-consuming loops in their RCM process, the team has increased their capacity without adding people. They realized similar benefits with AI scribe technology. Seeing AI as a growth enabler is powerful reframe for MedFlorida leadership and for them, AI has quickly become a baseline for running a modern, competitive practice.

What Healthcare IT Leaders Are Asking

How does AI reduce claim rejections in healthcare? AI reduces claim rejections by analyzing documentation at the point of care and prompting clinicians to correct missing or mismatched information before the progress note is finalized – a key feature of eClinicalWorks’ RCM AI. This proactive approach ensures the billing department receives a clean claim. It stops the cycle of returning notes to busy providers for revisions.

How does AI help a billing department scale? The primary function of AI in the revenue cycle is to increase efficiency. By automating repetitive tasks and catching errors early, current billing teams can process a larger volume of claims. This allows practices to grow and add new providers while maintaining a smooth administrative workflow.

Why are AI scribes important for recruiting clinicians? AI scribes, like Sunoh.ai, are important for recruiting because clinicians are actively seeking workplaces that prioritize their well-being. Tools that automatically draft clinical notes save hours of administrative work and significantly reduce burnout. Providers who have experienced this workflow consider it a necessity and will choose practices that offer it over those that do not.

Learn more about MedFlorida Medical Centers at https://medflorida.com/

Learn more about eClinicalWorks at https://www.eclinicalworks.com/

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