< + > How TPMG Cracked the Value-Based Care Code

Value-based care (VBC) is the goal but getting there has proven to be a challenge. For years, independent groups have struggled to align their technology with risk contracts without drowning in overhead. The financial math of VBC rarely works. TPMG is a rare value-based care success story – a decade in the making.

Healthcare IT Today sat down with Jeff Morrison, Vice President and CMIO at TPMG, to uncover how this independent, multi-specialty group cracked the code. By maximizing their eClinicalWorks platform and being smart with risk contracts, TPMG has successfully navigated VBC for the past 12-years without burying their providers in clerical work.

Key Takeaways

• Stop leaving money on the table for care management. CMS programs like Advanced Primary Care Management offer per-member-per-month revenue for work practices already do, provided the technology can track it.
• Ditch the manual dialer to close care gaps. Pushing bulk messages through a centralized hub to schedule Open Access visits is a faster, more effective way to hit HEDIS measures.
• Automate the reporting slog to maintain momentum. Direct integrations that package and send quality files to an ACO eliminate the administrative friction that usually derails value-based initiatives.

Capture Revenue for Care Management

TPMG did not wait to capitalize on the Advanced Primary Care Management program. They activated the specialized module within eClinicalWorks and rapidly enrolled over 9,600 patients. This added a vital per-member-per-month revenue stream for care they were already delivering.

Morrison recognized the immediate financial benefit of aligning their EHR with CMS incentives. “It’s a great tool. It helps create a revenue stream to help us with activities that help patients,” he explained. The technical execution was straightforward. “We just turned it on and started getting patients to sign up.”

Morrison appreciated how quickly TPMG was able to move from implementation to billing.

Automate Outreach to Close Care Gaps

Chasing down patients with treatment/care gaps in a VBC program is a labor-intensive nightmare. TPMG overcame this bottleneck by using the ProviderHub function of eClinicalWorks to track HEDIS measures like blood pressure control. The system identifies exactly who needs attention and allows the TPMG team to act instantly.

Instead of manual phone calls, the TPMG uses automated, bulk messaging to drive patients into Open Access scheduling.

“We can go to the non-compliant group and with a few clicks of a button, send them all a message saying – ‘Hey, can you call the office or can you make an appointment in open access so we can get you in so we can make sure your blood pressure’s controlled?'”

Eliminate the Quality Reporting Burden

The administrative weight of VBC can crush independent practices. Extracting and formatting data for ACO submission requires significant backend resources. TPMG solved this by using their EHR to handle the heavy lifting.

The process of submitting electronic clinical quality measures (eCQMs) is almost entirely hands-off at TPMG. “It’s called a QRDA I file and it is just processed by eCW,” Morrison stated. “We just tell them [eClinicalWorks], ‘Hey, we need these measures, these eCQMs, submitted back to the ACO,’. They process it and off it goes.”

This removes a significant administrative burden from the TPMG administrative team.

The Bottom Line

Succeeding in value-based care requires more than just clinical excellence. It requires strong commitment from leadership, a willingness to “stick with it”, smartly assessing financial/clinical risk, and IT infrastructure that makes the practice of VBC easier. Through hard work and dedication, TPMG is proving that an independent practice can thrive under risk models without burning out its staff – especially when it has IT systems that can support VBC efforts.

What Healthcare IT Leaders Are Asking

How can an EHR support Advanced Primary Care Management (APCM) billing? An EHR supports APCM billing by tracking patient enrollment, capturing consent, and logging the required care management activities. By using dedicated modules, IT teams can automate the documentation process, ensuring that providers meet the criteria for per-member-per-month Medicare payments without adding manual data entry to their workload.

What is the most effective way to improve HEDIS measure compliance using technology? The most effective approach is centralizing population health data into a single dashboard that identifies non-compliant patients in real time. From there, IT systems can facilitate bulk messaging, allowing clinical staff to send targeted appointment invitations via patient portals or SMS, directly connecting patients to open scheduling slots.

How does automating QRDA I file submission benefit an ACO participant? Automating QRDA I file submission eliminates the need for manual data extraction and formatting. When an EHR is configured to directly process and transmit these quality files to an ACO, it reduces administrative overhead, minimizes human error, and ensures that the practice receives accurate credit for the quality of care delivered.

Learn more about TPMG at https://tpmgpc.com/

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

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< + > AI-Driven Quality: The New Standard for Healthcare IT Service Desks

The following is a guest article by Dan O’Connor, VP Partner Success at HCTec

Quality healthcare depends on mission-critical applications and devices being accessible and functional around the clock. That reality puts enormous pressure on the IT service desk, which is expected to resolve issues quickly and keep clinical work moving without interruption.

Recent advances in artificial intelligence (AI) have brought real innovation to service desk workflows. It is now possible to automate password resets and system access requests, and to automatically deliver troubleshooting guides and supporting documentation to end users who need help. As a result, the service desk can respond to high-volume, repetitive requests almost instantly.

Automation clearly benefits the IT service desk, but health systems should remember that speed alone does not improve the end-user experience. Fortunately, AI is poised to make a difference here as well—and there are valuable lessons to draw from how other industries have transformed the customer experience.

By analyzing IT service desk interactions, organizations gain far greater visibility into how users engage with support. Those insights can be applied not only to resolve issues but also to improve service desk efficiency and, ultimately, to enable proactive support.

AI is behind experience-driven outcomes

Organizations do not always think of the IT service desk in terms of customer interactions, but adopting that lens helps leaders understand why, where, and how to elevate the user experience.

It is no secret that consumers prefer simple, convenient, and personalized engagements with the brands they rely on. Forrester describes this as creating outcomes-based digital experiences—an approach that emphasizes a consumer’s needs and goals and focuses on the holistic customer journey rather than isolated transactions.

That stands in stark contrast to making customers complete a series of individual tasks every time they interact with a brand: enter their information, wait for a reply, provide more information, and so on. It sounds a lot like the typical IT service desk experience, doesn’t it? And while that friction is merely frustrating in low-acuity situations, it becomes unacceptable when medical records can’t be retrieved, monitoring devices suddenly go offline, or clinicians on rounds get locked out.

There is a better way. Optimizing how AI is used in the IT service desk provides agents and end users with tools to improve the experience on both sides of the desk. Examples include:

• Call-routing systems that analyze a user’s history to predict their concern and route the request to the agent best equipped to handle it
• Sentiment analysis that surfaces common themes and user behaviors across requests, which can be applied to calls in real time or used to pinpoint recurring causes of disruption
• Chatbots that guide users through simple troubleshooting tasks, allowing them to resolve problems on their own or escalate to a human agent as needed

The next evolution: AI-based quality scoring

AI has already brought clear improvements to IT service desk operations. Simple questions and routine requests are resolved quickly, freeing clinical users to focus on patient care. Agents, in turn, can spend more time applying their skills to complex, critical requests.

But AI’s value to the service desk does not stop there. Once again, health systems can look to how AI is used to assess the quality of customer interactions and apply those lessons to the service desk.

Companies that run customer contact centers increasingly use AI to evaluate every customer interaction—not just the small sample that can be reviewed manually. That makes the review process both thorough and objective, because assessments can no longer be cherry-picked.

With full visibility into customer interactions, companies can detect patterns in agent performance, identify which issues are hardest to resolve, and even assign a quality score to each interaction. Armed with that concrete data, organizations have a clear path for identifying where to improve.

The same strategies apply to the IT service desk. Analyzing the full range of interactions end users have with support—phone calls, chatbot conversations, help desk tickets, emails, and text messages—offers unparalleled insight into the bottlenecks and delays that cause frustration and, ultimately, affect patient care.

Quality that drives proactive support

AI-driven quality scoring delivers several benefits. Leaders can see which types of issues routinely require after-call work and develop strategies to reduce that burden on agents. They can also readily identify high and low-performing agents and implement targeted training plans to address areas of concern.

Quality assessment can also pave the way for proactive service desk support:

• If many employees in the same department request access to the same software application, an automatic installation could save considerable time.
• Repeated reports of connectivity or performance issues could prompt a timely conversation about system upgrades.
• Requests that take little time or effort for agents to resolve could be candidates for automation. Conversely, chatbot conversations or automated workflows that routinely require an agent to step in could be re-elevated to a ticket.

Many health systems have already used automation in the IT service desk to increase speed, maximize efficiency, and improve the end-user experience. Now, organizations have an opportunity to go a step further—leveraging AI to assess user engagements the way companies review customer interactions. The insights that follow can drive meaningful process improvements and create a better experience for everyone, so users can stay focused on healthcare’s critical mission.

About Dan O’Connor

Dan O’Connor is Vice President of Client Experience at HCTec, where he partners with healthcare organizations to improve IT service delivery, operational performance, and end-user experience. With more than 25 years of healthcare and healthcare technology leadership experience, Dan combines a clinical background as a registered nurse with executive leadership experience that includes serving as a Chief Information Officer. His unique perspective across clinical operations, IT strategy, and managed services enables him to align technology initiatives with organizational goals while driving measurable improvements in service quality, efficiency, and user satisfaction.

Throughout his career, Dan has led large-scale healthcare IT transformations, managed services operations, service desk organizations, and clinical technology initiatives supporting Epic, Oracle Health (Cerner), and MEDITECH environments. He is passionate about helping health systems leverage technology, optimize workflows, and deliver exceptional support experiences that ultimately enhance patient care.

HCTec is a proud sponsor of Healthcare Scene

< + > Health Catalyst to Divest Vitalware for $147 Million, Accelerating Strategic Transformation

Transaction Reflects a Sharper Focus on AI and Core Technology; Net Proceeds Expected to Strengthen Balance Sheet and Provide Financial Flexibility

Health Catalyst, Inc., today announced it has signed a definitive agreement to divest Vitalware, LLC and the Vitalware business unit, its mid-revenue cycle business, to Med-Metrix for a total consideration of $147 million in cash. This divestiture sharpens Health Catalyst’s focus on driving measurable improvement for health systems across cost, clinical, and consumer performance, and the Company expects it to accelerate the broader transformation underway.

“This is a big step forward for Health Catalyst. We are concentrating our business around the areas where we have the deepest conviction, and we plan to put the capital structure in place to back our long-term strategy. Vitalware is a great business, and we are pleased to have found a partner in Med-Metrix who is well positioned to carry it forward,” said Ben Albert, CEO at Health Catalyst.

Health Catalyst expects the transaction to strengthen its balance sheet and provide increased financial flexibility to prioritize the core technology and AI investments. At its core, the Company’s strategy is built on 18 years of proprietary healthcare improvement data and $2.8 billion in measured outcomes, a foundation that grows more complete with every outcome measured and that serves as the foundation for an AI roadmap that will enable health systems to turn their own results into specific, prioritized action.

The Company plans to use net proceeds from the divestiture upon closing, combined with cash on hand, to fully repay and terminate its existing senior secured term loan facility of approximately $160 million of outstanding principal as of March 31, 2026, plus additional amounts in interest, prepayment premiums and costs.

Med-Metrix, a technology-enabled revenue cycle management company serving provider organizations across the country, will acquire Vitalware. Med-Metrix’s resources and focus in revenue cycle management position it to invest in the business more deeply. A best-in-KLAS leader with approximately $37 million in fiscal year 2025 revenue, Vitalware provides software for the financial operations of a health system, a category distinct from the clinical and operational improvement work at the core of Health Catalyst’s strategy.

The transaction is expected to close in 2026, subject to the satisfaction of certain specified closing conditions, including the expiration or termination of regulatory waiting periods. Additional details regarding the divestiture are included in Health Catalyst’s Form 8-K filed with the Securities and Exchange Commission (SEC) on June 4, 2026.

About Vitalware

Vitalware by Health Catalyst is a suite of mid-revenue solutions that help hospitals and health systems improve coding compliance, chargemaster management, charge capture, and price transparency across the mid-revenue cycle. It combines healthcare-specific data models, applied AI, and expert support to deliver measurable financial and operational results.

About Health Catalyst

Health Catalyst, Inc. is a healthcare intelligence company that accelerates measurable improvement for health systems across cost, clinical, and consumer performance. Backed by deep domain expertise, proprietary AI-driven technology, and $2.8 billion in documented outcomes, Health Catalyst helps health systems move from data to confident, measurable action.

Advisors

Raymond James served as the exclusive financial advisor, and Latham & Watkins LLP served as outside legal counsel for Health Catalyst.

Originally announced June 4th, 2026

< + > The Myth of the Single Healthcare Decision-Maker and Other Reuters Digital Health 2026 Insights

Sometimes you only need a morning to get a read on a room.

I dropped into the Reuters Digital Health 2026 event in Chicago for just a half-day, and honestly? I regret not carving out more time. To me, the event felt like a mashup of CHIME, a scientific symposium, ViVE and HIMSS’s hosted buyer meetings, and a good old-fashioned networking event.

Here is what digital health and IT leaders need to know from the ground.

Core Insights from Reuters Digital Health 2026

1. Traditional sales strategies of focusing on a single executive decision-maker is no longer effective in healthcare. Vendors now must secure both an executive sponsor and a separate clinical champion to navigate complex innovation pipelines.
2. Incumbent solutions also hold a massive advantage, meaning challengers must be significantly better to displace an existing system that is just 60% good enough.

The 70/30 Networking Advantage

I tip my virtual hat to the organizers: instead of a standard exhibit hall, they set up a buzzing networking room anchored by a barista. Not only was the caffeine a hit (get it?), but the purposeful ratio of 70/30, provider to vendors ratio was too.

The networking room was packed with executives from both sides having deep conversations. Every vendor I spoke with felt they got tremendous value for their sponsorship dollars, which in today’s environment is a big win.

The “Double Champion” Rule

It is rare that a single executive makes large buying decisions in isolation. Most healthcare decisions are by committee. That was starkly highlighted in a standout session from Dr. Cheng Kai Kao, CMIO at UChicago Medicine.

He laid out his organization’s innovation pipeline and made one thing crystal clear: to get project consideration today, you need both an executive sponsor and a project champion. Oh, and they cannot be the same person. You can’t just pitch the CIO and expect magic; you need clinical or operational alignment to push it through.

The Incumbent Bias

Dr. Kao explained that when UChicago performs a market assessment, incumbent systems have a massive edge.

If an existing vendor has a solution that is just 60% good enough, it gets serious consideration. To displace them, a new digital health vendor must be at least 40% better than everything else in the organization’s tech stack. It’s a brutal math equation for challengers, but it has been the truth in these uncertain economic times.

The Bottom Line

Reuters put on an incredibly effective event. It seemed valuable for many participants, but for those that listened intently during the sessions, there were several key insights from the speakers that were pure gold.

Learn more about Reuters Events at https://events.reutersevents.com/reutersevents

< + > Healthcare’s Agentic Future Will Be Decided by Infrastructure, Not AI Models

The following is a guest article by Sagnik Bhattacharya, CEO at Rhapsody

Healthcare is entering an agentic era, one where software doesn’t just generate insight, but takes action.

Unlike earlier forms of AI, agentic systems are designed to plan, decide, and execute multi-step workflows across systems with minimal human intervention. What was once assistive is becoming operational. AI is no longer just sitting alongside clinicians and staff, it is beginning to act on their behalf.

That shift is profound, but it’s also widely misunderstood.

Much of the current conversation around AI in healthcare still centers on models: accuracy, performance, and the race to adopt the latest generation of large language models. But the limiting factor in this next phase will not be intelligence. It will be whether healthcare systems can support action.

Because agents don’t work in isolation. They depend on the ability to access data, move across systems, harness tools, and trigger workflows in real time. Without that, they don’t scale. They stall.

This is where the gap begins to show.

Healthcare data remains deeply fragmented across EHRs, imaging, claims, and digital health tools. These systems were never designed to operate as a unified environment. They were built independently, often with different standards, latency expectations, and governance models.

Fragmentation is the True Barrier to Scale

Agentic AI assumes that fragmentation has already been solved. It hasn’t.

The result is a growing mismatch between what AI systems are capable of and what the underlying infrastructure can support. An agent may be able to determine the next best action in a care pathway, but if it cannot reliably access the necessary data, or execute that action across systems, the value stops at insight. It never becomes impact.

In other industries, this problem is already emerging. Early deployments of agentic AI have struggled not because of model limitations, but because of incomplete data, weak integration, and insufficient governance. In healthcare, where accuracy, timeliness, and accountability are non-negotiable, those gaps carry far greater risk.

Real-time data exchange becomes critical in this environment. Agents operate continuously, not episodically. They require access to current, contextual information, not batch updates or delayed feeds. Latency, inconsistency, or gaps in data are no longer inefficiencies, they are failure points.

Governance Must Be Built into the System

As agents take on more responsibility, governance can’t live in policy documents. It has to be embedded directly into systems, defining what actions are allowed, ensuring traceability, and maintaining human oversight where it matters.

The shift is from managing software to managing behavior.

The organizations that succeed in this transition will not be the ones that adopt AI fastest. They will be the ones that invest in the infrastructure required to make it usable, connecting systems, standardizing data, and enabling workflows to operate across environments in real time.

Because in the agentic era, intelligence is only one part of the equation. Systems have to be able to act on it, and most aren’t built to.

About Sagnik Bhattacharya

Sagnik Bhattacharya is the Chief Executive Officer of Rhapsody, an industry veteran with experience spanning Epic, PatientPing, and HealthEdge, where he held leadership roles across population health, care coordination, and payer solutions. He serves on the Board of Directors for Carequality and is passionate about connecting clinical leaders and health system stakeholders to simplify data exchange and drive better patient outcomes. Rhapsody provides infrastructure for AI-ready interoperability, delivering healthcare integration, identity, and clinical terminology solutions to more than 1,900 customers worldwide. Learn more at rhapsody.health.

< + > Elsevier Acquires Wellsheet to Close the Gap Between Patient Data and Clinical Evidence at the Point of Care

​​Elsevier’s ClinicalKey AI and Wellsheet Will Deliver Verifiable Clinical Evidence and Patient Context Directly into the EHR, Giving Clinicians Governed AI Answers Within Their Existing Workflows

Elsevier today announced it has acquired Wellsheet, a US-based health technology company that specializes in aggregating and synthesizing patient data from electronic health records (EHRs) to surface relevant clinical intelligence at the point of care. Together, Wellsheet’s validated EHR data model and ClinicalKey AI’s peer-reviewed evidence base will give clinicians verified, patient-specific guidance to help clinicians make vital decisions seamlessly at the point of care.

According to a 2026 McKinsey & Company healthcare study, more than half of US healthcare leaders surveyed said the biggest barrier to scaling gen AI is difficulty integrating into existing workflows. Clinicians today must navigate complex patient records, rapidly evolving guidelines, and growing documentation demands — often across disconnected tools. By combining Elsevier’s trusted clinical evidence, precision AI and domain expertise with Wellsheet’s validated EHR data model, the company’s integrated offering will bring patient‑specific guidance to the point of care, inside the workflow where clinical decisions are made. This includes:

• Aggregating and synthesizing large volumes of data into a relevant patient view, giving clinicians immediate context without additional searching
• Surfacing trusted clinical content and guidelines from ClinicalKey AI, including thousands of peer-reviewed journals, with every response traceable to its source
• Guiding discharge planning, follow-up actions, and reducing gaps in care

Omry Bigger, President, Clinical Solutions at Elsevier, said, “Clinicians today face a genuine tension: the patient data they need is in complex EHR systems, and the trusted evidence they need is somewhere else entirely. That gap costs time and introduces risk. By combining Wellsheet’s proven EHR data aggregation platform with ClinicalKey AI’s trusted evidence base, we’re closing it to deliver verified, patient-specific guidance directly inside the clinical workflow. For health systems, this means governed AI at the point of care, built on verified content clinicians can trust and patient context they already have.”

Wellsheet brings proven expertise in rapidly aggregating and structuring complex EHR data, enabling fast implementation across major EHR platforms. The combined capabilities strengthen Elsevier’s broader Clinical Solutions portfolio, supporting future advances in decision support, care pathways, patient engagement, and analytics.

Craig Limoli, Co-Founder and CEO at Wellsheet, said, “Elsevier and Wellsheet are well-positioned to address the complex needs of clinicians and hospital systems and scale at a faster pace. Wellsheet is already available across major EHR systems, and that footprint, combined with Elsevier’s global reach, gives us a clear path to bring this capability to health systems everywhere. Together, we’re giving clinicians verified clinical insights and providing health systems with the consistency, security, and quality oversight they need to utilize AI with confidence.”

Elsevier will integrate Wellsheet into its Clinical Solutions business, which addresses the needs of clinicians, providers, and care teams in three key areas: building clinical competencies; supporting informed clinical decisions; and providing patient engagement solutions built on evidence-based information. Wellsheet is currently deployed across 139 hospital sites in the US and integrated into major EHR systems.

The company’s ClinicalKey AI is a leading clinical decision support solution that provides comprehensive evidence-based medical information, including full-text content and clinical practice guidelines from more than 1,000 medical journals and organizations. Currently in use in more than 300 hospitals across the world, ClinicalKey AI’s medical content includes The Lancet series, Chest, Journal of Allergy and Clinical Immunology, Journal of Thoracic Oncology, and American Journal of Obstetrics and Gynecology and guidelines from renowned organizations such as the American College of Cardiology, the American Association of Clinical Endocrinology, the European Society for Medical Oncology, the American College of Emergency Physicians, the American Gastroenterological Association and more.

About Elsevier

Elsevier is a global leader in advanced information and decision support. For over a century, we have been helping advance science and healthcare to advance human progress. We support academic and corporate research communities, doctors, nurses, future healthcare professionals, and educators across 170 countries in their vital work.

We help impact makers achieve better outcomes with research and clinical-grade solutions built on the world’s leading scientific and medical knowledge base of evidence-based content, precision AI, and expert human assessment to ensure accountability at every step.

We champion inclusion and sustainability, working with the communities that we serve. The Elsevier Foundation supports research and health partnerships around the world.

Elsevier is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. For more information, visit elsevier.com and follow us on social media @elsevierconnect.

Originally announced June 3rd, 2026

< + > Bonus Features – June 14, 2026 – Number of patients using telehealth down 48% since 2020, 71% of patients want phone or in-person assistance when they need help, plus 22 more stories

Welcome to the weekly edition of Healthcare IT Today Bonus Features. This article will be a weekly roundup of interesting stories, product announcements, new hires, partnerships, research studies, awards, sales, and more. Because there’s so much happening out there in healthcare IT that we aren’t able to cover in our full articles, we still want to make sure you’re informed of all the latest news, announcements, and stories happening to help you better do your job.

Studies

• A Cloudera report found 45% of healthcare organizations cite complicated data access requirements and processes as the biggest barrier to using data effectively.
• A Definitive Healthcare report found the number of patients using telehealth services is down 48% from its 2020 peak, while the number of claims is down 41%.
• An Invoca survey found 44% of healthcare consumers prefer making a phone call when they need help, while another 27% prefer in-person engagements. Just 10% prefer email, and only 8% prefer an AI assistant.

Partnerships and Implementations

• Chiropractic EHR ChiroTouch is partnering with Aloha, a patient engagement platform for chiropractic practices.
• DICOM routing and orchestration technology from DataFirst is now integrated with Konica Minolta Healthcare Americas‘ diagnostic imaging tools.
• NHS England rolled out Microsoft 365 Copilot to more than 500,000 clinicians and support staff. In addition, Caregility announced its Caregility Connected Care Platform will be integrated with Microsoft Dragon Copilot.
• Florida-based Baptist Health selected Shields Health Solutions to improve patient access to specialty medications.
• Dallas-based Parkland Center for Clinical Innovation’s AI models are now available on the Vega Health Marketplace.

Products

• Cohere Health expanded Cohere Unify, its health plan operations platform, into appeals, care management, claims operations, and quality.
• RCM vendor FinThrive launched Denials Prevention Manager for hospitals and health systems.
• Fullspan Health launched Healthline AI, a conversational AI agent that draws from Healthline, Healthgrades, and other Fullspan publications.
• Insurance price transparency company Karias Health announced Faith, an AI care companion.
• Longevitix launched its AI-powered platform for preventive and longevity medicine.
• Radiology Partners subsidiary Mosaic Clinical Technologies launched Mosaic Reporting, which is available as part of MosaicOS.
• ŌURA announced Oura Ring 5, along with live activity tracking, proactive health monitors, and GLP-1 insights.
• PointClickCare announced AI capabilities for skilled nursing facility discharge planning.
• Samsung updated the Samsung Health app to translate biometric data from Galaxy Watch into actionable guidance.

Company News

• AGS Health launched InnovationWorks to bring internal and external stakeholders together to produce RCM solutions.
• Data clearinghouse Claim.MD maintained HITRUST Certification following completion of a HITRUST CSF r2 validated assessment.
• DirectTrust launched its Artificial Intelligence v1.0 Accreditation Program and recognized D.A.W. Systems and ZeOmega as the first organizations to achieve Foundational accreditation.
• MedTech Solutions supported Epic go-live at two North Carolina FQHCs: High Country Community Health and First Choice Community Health.
• The New England Journal of Medicine now has a profile on Roon, a physician-only social media network.

People

• Consultancy Tegria appointed Craig Mengert as Chief Executive Officer.
• Ambulatory practice software maker NextGen Healthcare added Gautam “G” Shah as Chief Product and Strategy Officer.

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