< + > Stop Waiting for Interoperability: PocketHealth Uses Agentic AI to Automate Operations Across Systems

Healthcare has spent billions trying to force disparate systems to talk to each other through custom APIs and shared data standards. Yet administrative staff still spend their days copying data manually across disjointed software screens. What if solving interoperability does not require complex data integration at all?

Healthcare IT Today sat down with Rishi Nayyar, CEO of PocketHealth, at their offices to discuss how agentic AI is transforming health system operations. PocketHealth is pioneering a fresh approach to operational automation with its new agentic operations platform, Conductor, which tackles longitudinal workflows across disconnected systems.

Key Takeaways

• Agentic AI offers a direct workaround to traditional interoperability bottlenecks. Rather than waiting for universal standards or API adoption, intelligent agents can work across the entire system at the interface layer, not just the parts a vendor exposes through an API.
• EHRs are built for data consistency, not dynamic process orchestration. Electronic health records excel at serving as systems of record, but managing complex, longitudinal operational workflows that span service lines and systems requires a dedicated automation layer.
• Delaying operational automation leads to immediate patient drop-off. Modern health care consumers expect instant communication and rapid response. Organizations clinging to manual phone queues, fax forms and people-powered processes will lose patients to faster peers.

Solving Interoperability Through Interface Automation

For decades, health care technology leaders viewed interoperability as a pure data standards challenge. Nayyar and his team at PocketHealth recognized that human staff currently serve as the makeshift bridge between systems that do not talk to each other. By applying agentic AI to navigate software screens, PocketHealth bypasses traditional integration hurdles entirely.

Nayyar pointed out that intelligent software can replicate these exact human workflows across graphical user interfaces. “Agentic AI can do the Interoperability work that humans are doing now,” Nayyar explained. “Right now, if you have two systems that don’t speak to each other, a human plays that role [the bridge]. I look at a work list, then I open up MEDITECH or Cerner, and then I do X, Y, Z task based on the work list. What are you leveraging? You’re leveraging the GUI, the graphical user interface. Agentic AI can do the exact same thing.”

Separating Systems of Record from Process Orchestration

Healthcare organizations expect their EHRs to have comprehensive operational workflows. According to Nayyar, however, expecting an EHR to orchestrate complex care journeys across departments is unrealistic. Organizations are left waiting for the next release for the needed functionality or when it arrives, it does not exactly match the organization’s workflow.

Nayyar believes that EHRs should stick with what they excel at: “An EHR or a PACS system, they are systems of record. Meaning they are meant to be consistent storers of the ground truth. A very valuable role. You need that in a health system. But those are point in time views. The ‘work to be done’ orchestration and longitudinal work is a completely different problem space.”

Thus the need for separate and dedicated coordination layer to automate the cross-departmental workflows while using the EHR’s data stores.

The Operational Risk of Delaying AI Adoption

For Nayyar, hesitating to automate administrative tasks carries measurable risk for health systems. Patient expectations have shifted dramatically toward instant access and digital convenience. Staying attached to legacy operational methods will slowly erode patient and staff confidence which leads to organizational decline.

In other words, organizations that rely on human-powered processes only will get left behind.

Nayyar went further and shared his opinion that patient retention and referral patterns will reflect this operational divide sooner than many executives think. “We are moving into a world where these things will very quickly become table stakes. Patients will expect to call and be able to talk to someone immediately, not stay on hold or print off and then fax a form in order to get a referral,” Nayyar cautioned. “Your scores across all of these metrics, including the soft metrics, will immediately begin to degrade relative to your peer group, and that has real implications. That’s not just numbers on a page.”

The Bottom Line

Health IT leaders cannot afford to wait for total data standardization before streamlining operations. By deploying agentic AI to handle cross-system tasks, organizations can immediately remove manual labor from front-desk staff while improving patient satisfaction. PocketHealth demonstrates that the path forward lies in pairing trusted systems of record with smart automation tools built specifically for process orchestration.

Questions Healthcare IT Leaders Are Asking

How does agentic AI address health system interoperability?
Agentic AI can bypass traditional data integration challenges by interacting with software through graphical user interfaces rather than relying solely on custom APIs or shared data standards. The AI navigates screens, inputs data, and executes tasks across disparate systems just as a human staff member would. This allows health systems to automate cross-platform workflows immediately without waiting for underlying software architectures to unify.

Why shouldn’t health systems rely on EHRs for longitudinal workflow orchestration?
EHRs are engineered as static systems of record designed to preserve ground-truth clinical data at specific points in time. They lack the architectural flexibility required to orchestrate complex, multi-step workflows that span across different service lines, third-party systems, and patient communication channels. Using purpose-built automation layers on top of the EHR allows each system to perform its primary function effectively.

What are the operational risks of postponing administrative automation?
Delaying operational automation exposes health systems to severe degradation in patient experience, lower retention rates, and reduced referral volumes. Today’s patients expect immediate response times and digital self-service options. Organizations that maintain manual phone lines, paper forms, and slow scheduling processes, especially for referrals, will rapidly lose market share to competitors offering frictionless access.

Learn more about PocketHealth: https://www.pockethealth.com/en-us/

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< + > Why Patient Financing Belongs in the Digital Front Door, Not Just the Billing Office

The following is a guest article by Drew Allen from Conceptualized Inc.

Health systems and practices have spent the past several years building out the digital front door: online scheduling, patient portals, digital intake, and telehealth triage. The goal was to make the start of the patient journey feel as easy as booking a flight or ordering groceries.

Payment got left out of that redesign. At many organizations, the financial conversation still happens the old way. A phone call after the visit. A paper statement in the mail. A payment plan was hashed out verbally at the front desk. That gap is getting harder to justify as patients cover more of the bill themselves and as the technology to fix it becomes widely available.

The Patient Payment Reality Behind the Numbers

The scale of the shift is well documented. According to Kodiak Solutions’ 2026 State of the Healthcare Revenue Cycle report, the insured patient’s share of net revenue rose from 6.8% in 2024 to 7.3% in 2025, while the share of that responsibility providers actually collected fell from 45.1% to 42.4% over the same period. Providers are owed more, yet collect less of it.

Rising deductibles are part of what’s driving that. KFF’s Employer Health Benefits Survey tracked the average single-coverage deductible climbing from $1,217 a decade ago to $1,886 in 2025, with more than a third of covered workers now on a plan with an individual deductible of $2,000 or higher.

Patient expectations have moved, too. Experian Health’s State of Patient Access research found that roughly 70% of patients want their healthcare financial experience to look like the other services they pay for: clear pricing, digital payment options, and flexibility. Not a mailed invoice that shows up weeks after the appointment.

The Digital Front Door Was Built for Scheduling, Not Paying

Most digital front door strategies aim to solve access problems: get patients in faster, reduce no-shows, and eliminate phone tag with the front desk. Those investments have paid off in patient satisfaction and operational efficiency.

The financial side rarely got the same treatment. A patient can book an appointment in two taps, fill out intake forms on a phone, and then, weeks later, get a paper bill with a phone number to call about payment options. That handoff, between a smooth clinical experience and a clunky financial one, is where a lot of the collection trouble documented above actually starts.

Where Financing Fits in the Health IT Stack

Point-of-care financing tools are increasingly being built to close that gap by plugging directly into the same digital journey that already handles registration and scheduling, rather than existing as a separate, manual process.

In practice, that typically means a pre-visit or point-of-service cost estimate is paired with a customer financing offer presented in the patient portal or at checkout, similar to the buy-now-pay-later integration patterns patients already encounter in retail. This kind of tool typically works from the provider side: a patient applies in the same digital moment they’re reviewing their bill or treatment plan, receives a decision in seconds, and the practice is typically funded upfront, regardless of the payment term the patient selects.

For RCM and IT teams, the appeal is straightforward. Instead of a balance sitting in accounts receivable for 60 or 90 days while staff attempts phone collections, the financing partner assumes that timeline, and the practice’s cash flow is no longer tied to the patient’s ability to pay in full at the time of service.

What This Looks Like in a Typical Workflow

Take a mid-sized specialty practice, a fairly common scenario: a patient is scheduled for a procedure with an estimated $2,400 in patient responsibility after insurance. In a traditional workflow, that number might get mentioned verbally at check-in, followed by a mailed statement once the claim is adjudicated, then phone calls if the balance goes unpaid. Every step in that chain adds days or weeks before any money changes hands, and a chunk of the balance is usually written off as bad debt.

Embed financing in the digital front door, and the same estimate shows up in the patient portal before the appointment, with a financing option the patient can apply for and get approved for in under a minute. From there, the practice can treat that balance as effectively resolved at the time of scheduling, rather than watching it age through weeks of accounts receivable. Multiply that across dozens or hundreds of balances at once, and the shift changes the shape of the whole collection’s workload, not just one patient’s experience of it.

There’s an equity angle here, too. A growing share of patient responsibility now comes from self-pay and post-insurance balances rather than from deductibles alone, and patients without much credit history or existing credit products are often the ones most likely to put off or skip care due to cost. Financing tools built around a soft pull rather than a hard credit inquiry can expand affordability options for the population most likely to fall through the cracks of a phone-based collections process.

What IT and RCM Leaders Should Evaluate

Financing integrations aren’t interchangeable, and the technical and compliance details matter as much as what the patient sees on screen. Teams evaluating a financing layer for their digital front door tend to focus on a few key areas.

Integration depth matters first: does the tool plug directly into the practice management or EHR system, or does it force staff to use a separate portal outside their existing workflow? Real-time accuracy matters too, since a cost estimate is only useful if it reflects actual negotiated rates and remaining benefits rather than a generic average. The credit model is worth scrutinizing on its own: a hard credit inquiry can scare off patients with limited or damaged credit, where a soft pull or alternative underwriting approach won’t.

Compliance posture is its own category, covering how a vendor handles state-specific lending regulations and disclosures, since financing products are subject to consumer lending law regardless of the healthcare context in which they’re used. And funding timeline rounds it out: how fast the practice actually gets paid once a patient is approved and a plan is chosen, since that’s the piece that determines whether the cash flow benefit is real.

The Last Mile of the Digital Front Door

Healthcare IT teams have spent years polishing the front end of the patient journey: search, scheduling, intake, clinical documentation. Payment was treated as someone else’s problem, owned by the business office instead of the digital experience team.

That division is getting harder to defend as patient financial responsibility continues to climb. The organizations closing the gap between collection performance and patient satisfaction are those treating the payment moment as part of the same digital experience as everything leading up to it, rather than a separate process that begins only after the clinical encounter ends.

About Drew Allen

Drew is a husband and father of three who writes about the intersection of healthcare, technology, and the patient experience. His perspective focuses on how practical technology can help make healthcare more accessible, transparent, and easier to navigate—from the digital front door through the financial side of care. He is particularly interested in the ways healthcare organizations can use technology to improve the experience for both patients and the teams who serve them.

< + > Wellinks Closed $10 Million Series B Funding | Function Secures $450 Million Growth Financing

Check out today’s featured companies who have recently raised a round of funding, and be sure to check out the full list of past healthcare IT fundings.

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Wellinks Closed $10 Million Series B Funding from UMass Memorial Health and Inside Investors

Investment Builds on Wellinks’ Strategic Partnership with UMass Memorial Health and Other Commercial Partners to Accelerate Growth and Expand Patient Access to Its Predictive Care Model

Wellinks, a leader in cardiopulmonary care, today announced the first close of its Series B Funding, securing $10 million to fund commercial growth with participation from UMass Memorial Health and inside investors. The investment builds on Wellinks’ multiyear relationship with UMass Memorial Health and other partners to accelerate the expansion of Wellinks’ predictive care solution.

Wellinks’ FDA-cleared Spire Remote Patient Monitoring (RPM) System helps identify early physiologic changes associated with clinical deterioration, supporting earlier intervention and proactive management of chronic respiratory disease beyond traditional care settings.

Wellinks and UMass Chan Medical School first collaboratively approached reducing acute care utilization in COPD patients through the Healthy at Home program. The study found that Healthy at Home participants had more than 60% lower odds of 30-day hospital readmission, with trends toward fewer emergency department visits and shorter hospital stays than similar patients who did not participate. For more information, read “Healthy at Home study demonstrates feasibility, effectiveness of mobile care for COPD.”

“Our continued collaboration with Wellinks reflects a shared commitment to advancing proactive, data-driven care,” said Dr. Eric Dickson, CEO at UMass Memorial Health. “Together, we’re generating real-world clinical evidence that supports better outcomes for patients and informs the future of cardiopulmonary care.”

Wellinks will use the funding to…

Full release here, originally announced August 4th, 2026.

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Function Secures $450 Million Growth Financing from General Catalyst’s Customer Value Fund (CVF)

Financing Will Accelerate Function’s Mission to Help Millions More People Own Their Health

Function today announced the closing of $450 million in growth financing from General Catalyst’s Customer Value Fund, accelerating the company’s mission to help millions more people understand and take ownership of their health.

The financing underscores conviction in Function’s vision to fundamentally change how people take ownership of their health. Since early beta launch in 2023, Function has defined a new category by bringing lab testing, imaging, and personalized intelligence into a single platform designed for lifelong health.

The capital will enable Function to bring its platform to millions more people faster. This announcement comes on the heels of Function’s Q2 expansion acquisitions of Getlabs’ nationwide at-home or office blood draw network and SuppCo’s supplement platform.

“Our mission is simple: enable you to live 100 healthy years. Everyone deserves to feel their best and avoid suffering,” said Jonathan Swerdlin, Co-Founder and CEO at Function. “Every dollar invested in Function is a vote for one hundred healthy years for eight billion people. This growth financing allows us to pull the inevitable and optimistic future of health into the present.”

“This financing reflects our belief that Function is one of the defining companies of our generation,” said Pranav Singhvi, Partner and Co-Head at CVF, General Catalyst…

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

< + > What Ethically Built AI Must Mean in Behavioral Health

The following is a guest article by Michael Arevalo, Psy.D. Director of Clinical Strategy at Core Solutions

Picture a behavioral health clinician early in a career, reviewing an intake form on an ordinary morning. The presenting complaint reads clean: anxiety, disrupted sleep, some family conflict. Nothing unusual, on the surface. Then one phrase stands out, an offhand line from the person. “I’m not sleeping much, but that’s normal for me.” This might be nothing. Then again, it might be the start of something worth asking about further.

That instinct, the willingness to sit with discomfort rather than paper over it, is exactly what most AI systems struggle to replicate. I see this gap constantly in conversations about AI and behavioral health.

Why Agreeable isn’t the Same as Accurate

Most large language models are trained to be helpful, and helpful, in practice, usually means agreeable. Ask one a question, and it hands back something confident-sounding, with no room left for doubt. That’s a minor annoyance in most fields, but in behavioral health, it’s a real problem. A clinician’s job, especially early in a career, often comes down to catching the detail that doesn’t fit: a phrase in an intake note, a shift in someone’s affect a template would never pick up on. An AI tool that hands you a clean summary isn’t saving you time so much as it’s quietly deciding what didn’t matter.

This is where ethically built AI earns its name. It is a specific standard and one with real requirements: a system that stays transparent about how it reaches conclusions and keeps a named person accountable for what it produces while treating safety and privacy as basic requirements. In behavioral health, this can help to protect the therapeutic relationship itself and keep the clinician as the one who makes decisions.

Clinical judgment, treatment authority, and responsibility for outcomes stay with licensed professionals. An AI system can surface a pattern, flag a risk indicator, or draft a summary for review. What it cannot do is make the final call. The moment a tool renders a judgment a clinician cannot trace back, examine, or override, something important has been lost.

Where the Law Already Agrees

The law is starting to catch up. Illinois’ WOPR Act prohibits licensed providers from letting AI make independent clinical decisions. Nevada’s AB 406 goes further, barring AI from providing professional behavioral healthcare outright. Utah’s HB 452 requires mental health chatbots to disclose their use and limits how they handle sensitive data.

The FDA draws a similar boundary between support and decision-making in the form of a four-part test that determines whether clinical decision support software stays exempt from medical device regulation. The software cannot analyze signals or images on its own, and it has to work from existing medical information. It must support a clinical decision rather than direct it, and a clinician must be able to independently review how it arrived at any recommendation. Fail any one of those tests, and the software becomes a regulated device. Put simply: If a clinician cannot see how a tool reached its conclusion, that tool now answers to a regulator.

What This Means for AI Adoption in Behavioral Health

AI can give clinicians real-time feedback, and few fields need that relief more than behavioral health. An AI-driven EHR activates every capability starting at implementation. What matters most is how well an organization governs it. 

Daily workflows are where that governance gets tested. Staff need dedicated time to review AI-generated insights before those insights shape care. Training should teach staff to notice when an output feels a little too clean rather than just how to operate the tool. The real test is whether clinicians still trust their own read when something in the record doesn’t add up. 

Going back to that intake form example from the beginning: The clinician reviewing it did not need an AI system to tell them the chart looked fine. They needed one that would not have smoothed over the line that gave them pause in the first place. That’s the standard behavioral health must live up to.

About Michael Arevalo

Michael Arevalo, Psy.D., PMP, is the Director of Clinical Strategy at Core Solutions, a company that has spent more than 25 years developing behavioral health and IDD EHR technology and today supports care for more than 500,000 individuals. He brings a background in clinical psychology and project management to his work guiding how AI and other emerging technologies are evaluated and adopted across Core’s platform. Dr. Arevalo focuses on ensuring new capabilities strengthen, rather than undermine, the clinical judgment and human relationships at the center of behavioral health and IDD care.

< + > Unite Us Acquires Vircho Health | Healthcare Triangle Signs Non-Binding LOI to Acquire 51% of CosmoInnovations

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.

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Unite Us Acquires Vircho Health, Strengthening its Platform for Health and Community Care Networks

Deal Adds Performance Analytics and Verification Tools to Unite Us’ 13-Year Record of Closed-Loop Care Delivery for an Added Layer of Intelligence to Help Community Care Networks Validate Investment; Vircho Health’s Full Team Joins Unite Us

Unite Us, the nation’s trusted technology partner for integrating health and community-based care, today announced the acquisition of Vircho Health, a technology company whose performance and financial tools help the organizations running community care networks measure, optimize, and validate program performance. Unite Us welcomes the full Vircho Health team, including co-founders Craig Manson and Evan Jones.

The acquisition comes as the bar for community care networks is rising. Funders no longer want to know only that a service happened; they are demanding evidence that the service was delivered, proof that it worked, data capturing network performance, and confidence that every dollar invested produced the outcome it was funded to solve. By integrating Vircho Health’s capabilities into the Unite Us platform, our customers can unlock deeper insights into network health to help networks validate and accelerate their impact.

“We earned the trust of the communities we serve by taking on the problem everyone else thought was too complicated: going the last mile to close the loop,” said Taylor Justice, Co-Founder and CEO at Unite Us. “Vircho’s analytics expertise, combined with what we’ve built over 13 years, gives our network a new layer of intelligence and gets the right insight to the right decision maker, so issues get resolved the first time.”

“We led the first era of integrated health and community care by proving a service happened. We intend to lead the next by providing the intelligent infrastructure that assists the network to determine the next best action, whether it is care navigation or network performance,” Justice added.

Unite Us built the infrastructure to connect sectors and prove community services were received, pioneering the closed-loop referral model and compiling a record of care and outcomes spanning 13 years and nearly 125 million connections to care across every health and economic service that touches a person’s life…

Full release here, originally announced August 5th, 2026.

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Healthcare Triangle Signs Non-Binding LOI to Acquire 51% of CosmoInnovations; Enters High-Growth Proprietary MedTech and Consumer-Health Markets

Transaction Introduces 27 Granted International Patents, 61 Pending Applications, and a Commercial Pipeline Targeting Over US $50 Million in Cumulative Revenue Over Three Years

Healthcare Triangle, Inc. (HCTI), a leader in digital transformation solutions for the healthcare and life sciences industries, today announced it has signed a non-binding Letter of Intent (LOI) to acquire a 51% equity stake in CosmoAesthetics Pty Ltd. Operating under the brand CosmoInnovations, the Melbourne, Australia-based company is a premier innovator in MedTech, BeautyTech, and consumer-health products.

The proposed total consideration for the acquisition is US $23.5 million, structured through a combination of cash, equity, and performance-linked milestones over a three-year period.

Transforming Into a Product-Led Innovation Platform

This transaction marks a pivotal evolution in HCTI’s corporate strategy, transitioning the Company from a pure-play healthcare IT services provider into a product-led healthcare innovation platform. By combining its existing artificial intelligence and digital infrastructure with CosmoInnovations’ physical and medical technologies, HCTI would seek to establish a high-margin, recurring-revenue ecosystem spanning clinical and consumer-facing health sectors.

Robust Intellectual Property and Revenue Pipeline

CosmoInnovations brings a vast, clinically diverse portfolio consisting of more than 25 proprietary technologies. Its advancements span high-growth sectors including skincare, photobiomodulation (light therapy), respiratory wellness, oral health, pain management, transdermal delivery, and home-based consumer care…

Full release here, originally announced July 29th, 2026.

< + > Bonus Features – August 16, 2026 – Only 7% of orgs have dedicated software to manage prior authorizations, Gemini users can now book appointments with Zocdoc, plus 27 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.

Stats

• A Carta Healthcare survey found 77% of IT leaders have seen better outcomes when AI works alongside clinicians rather than on its own.
• An Inovalon survey of RCM leaders found 93% of organizations rely on phone, fax, or payer portals to manage prior authorizations. In addition, Inovalon and OMNY Health are partnering to combine Inovalon’s primary source closed claims data with OMNY Health’s EHR data and clinical notes.

Partnerships

• Google Gemini and Zocdoc are partnering, enabling Gemini users to find and book an appointments with Zocdoc’s nationwide network.
• Intermountain Health is expanding its contribution to Utah’s Clinical Health Information Exchange, which is operated by the Utah Health Information Network.
• Novo Nordisk and Amazon Web Services have created a co-innovation hub in London.
• Virtual nursing company Collette Health is collaborating with VirtuAlly to expand access to virtual clinical teams.

Products

• athenahealth announced the broad availability of AI capabilities across the athenaOne network and introduced the EHR AI CoLab, a co-innovation forum within athenaInstitute.
• Cedar launched Kora Platform, an agentic platform for patient financial resolution.
• Cotiviti launched Proactive COB, a coordination of benefits capability to identify health insurance and benefits options at the time of member enrollment.
• Noah Medical launched Galaxy II, its updated robotic-assisted bronchoscopy platform for looking inside the lungs and airways.
• Telehealth infrastructure platform OpenLoop expanded into into higher-acuity care for patients managing complex conditions.
• Oracle Health’s AI-powered Patient Portal is now generally available in the United States.
• Clinical communications company PerfectServe launched Intelligent Answering powered by ConnectiveIQ, its AI engine.
• PointClickCare launched Vox Advantage, a voice-enabled documentation solution built into its Senior Care EHR.
• Community care technology company WellSky announced WellSky Pay, a payment collection solution. In addition, Staten Island-based Richmond University Medical Center selected WellSky to help streamline authorization management and care transitions.

Implementations

• Humana selected CityBlock Health to support eligible members with complex chronic conditions in North Carolina.
• Florida-based senior care organization Claremedica selected Creyos to support digital cognitive and behavioral health assessment.
• Northeast Georgia Health System is piloting Chart with Art, Epic’s tool for capturing conversations between nurses and patients and creating documentation.
• NYU Grossman School of Medicine selected Function, a longevity medicine company, as its research partner for chronic disease prevention.
• Ochsner Health selected Paradigm Health to help expand access to clinical trials.
• OSF HealthCare expanded its implementation of RapidAI‘s Rapid Enterprise Platform to its 18 hospitals in Illinois and Michigan.

Company News

• The Inc. 5000 list for 2026 is out. Two healthcare companies appear in the top 5 – Main Street Health and AffirmedRx – and 12 more appear in the top 100.
• The Coalition for Health AI convened its Health AI Cybersecurity Work Group.
• The Health Care Administrators Association appointed its 2026-2027 Board of Directors.
• Health Catalyst closed the sale of Vitalware to RCM vendor Med-Metrix.
• Workflow management software vendor Intelliworx rebranded its rural healthcare recruiting platform as Workready.
• Health IT consultancy Nordic expanded to Mexico.
• Disease detection AI company Ubie’s Smart Support patient access tool is now a qualified solution on Mayo Clinic Platform.
• Health data platform Zus Health has been accepted as a candidate QHIN.

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.

< + > Weekly Roundup – August 15, 2026

Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives you a chance to catch up on anything you may have missed during the week.

AI + Larger Data Sets = Workflows in the Cloud and at the Edge. Dan Schneider at NVIDIA and Sandra Colner at Dell Technologies talked to John Lynn about getting more from AI by thinking at a higher level instead of just trying to get individual tasks done. Read more…

Inside Australia’s Wide-Open Acute Care EHR and Aged Care Markets. Colin Hung took one for the team and went to HIC2026 in Sydney (lovely this time of year, I’ve heard). He learned many Australian hospitals still operate without a centralized EHR but recognize now’s the time to invest in digital health. Read more…

Using Automation to Reduce Administrative Burdens and Operational Costs in Back-Office Systems. Making this happen means anticipating supply chain shortages, managing payer contracts, and streamlining provider credentialing, according to the Healthcare IT Today community. Read more…

Life Sciences Today Podcast: Can a Platform Company Become a Real Business? Danny Lieberman posed this question to Gabi Tarcic at Evogene, which is navigating the latest wave of technology to transform biology. Read more…

CIO Podcast: Improving Through Data and Research. Dr. Eric Lee at AltaMed Health Services joined John to discuss making the most of survey results from the KLAS Arch Collaborative. Read more…

Key Lessons Organizations Are Learning About AI Governance. These lessons include approaching governance well before deployment, establishing continuous monitoring, and understanding how AI risk spreads, according to Lesley Berkeyheiser at DirectTrust. Read more…

Turning Past Clinician Records Into More Staff Placement Opportunities. Bret Williams at Spokeo Business outlined how matching existing clinician profiles with updated contact information helps recruiters know where to start to fill staffing gaps. Read more…

What’s Next for Non-Emergency Medical Transportation. The true cost of missed and delayed care from transportation gaps is more than $150 billion. Elizabeth Jepsen at Kinetik recapped the company’s webinar on how NEMT is building stronger transportation networks, especially in rural areas. Read more…

Why Governance Is the New Differentiator in EHR-Adjacent AI. Built-in governance means a system knows what should happen after every output, said Angela Adams at Inflo Health. That involves output controls, audit trails, and escalation pathways. Read more…

What Makes a Community Information Exchange Work? According to Mark Taylor at Ready Computing, key factors include understanding patient journeys, connecting existing systems, building trust, and proving value. Read more…

This Week’s Health IT Jobs for August 12, 2026: Baptist Memorial Health Care (Memphis) seeks a CNIO, while VHC Health (Virginia) seeks an Associate VP and CISO. Read more…

Bonus Features for August 9, 2026: 57% of home- and community-based providers evaluating AI tools; 28% of patients have put off canceling an appointment because it required a phone call. Read more…

Funding and M&A Activity:

• Dassault Systèmes acquired ArisGlobal, an enterprise compliance platform for life sciences industry.
• Virtual care provider Included Health acquired Firefly Health, a clinically integrated health plan and advanced primary care company.
• Rehab and physical therapy EHR vendor Raintree acquired Spike Technologies, maker of agentic AI voice technology for healthcare.
• Doctronic acquired Summer Health, a platform for virtual, text-based pediatric care.
• Clinical trial simulation company QuantHealth announced a $45 million Series B funding round.
• Concierge primary care platform Prosper Medical announced $16 million in financing.
• Lung nodule characterization company RevealDx announced a strategic investment of $3.4 million.
• Certification and workforce development provider Advanced eClinical Training received an investment from Tortuga Growth Partners.

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