Cleveland Clinic will implement Dyania Health’s AI-powered tool that scans medical records to identify clinical trial candidates. The health system has also invested in the company. Founder and CEO Eirini Schlosser is a former investment banker who previously founded an EHR data mining technology company.
ChatGPT maker OpenAI will reportedly build its own health app, tapping former health tech executives from Doximity and the investment community. Business Insider reports that OpenAI is considering both consumer-facing and enterprise tools, including clinical triage, clinical documentation, and patient engagement.
Parents sue OpenAI over the death of their teenage son, citing ChatGPT transcripts in which the chatbot engaged with him as he discussed suicide and shared self-harm photos. They allege it praised his ability to fashion a noose, confirmed his belief that it could hang a human, and suggested hiding it rather than leaving it out as a cry for help. He reportedly bypassed safety prompts by framing his questions as part of a story he was writing.
India-based Narayana Health launches a self-developed ambient documentation tool for its Athma EHR. Future plans include integration of wearables, external health records, and predictive models to personalize treatments. Founder, chairman, and cardiac surgeon Devi Shetty, MBBS called out AI’s potential to reduce errors and cost:
There are millions of data points coming from everywhere, and we are constantly worried we are missing something. AI, however, can do all this and present it in a manner that allows doctors to access maximum information about the patient in the quickest possible time. More than anything else, AI will prevent doctors from making mistakes and will double or triple their productivity. They will become more efficient in treating patients properly, and errors will be reduced. In the process, costs will go down dramatically because whenever productivity increases, cost goes down.
AI precision medicine technology vendor Tempus AI acquires Paige, which has developed FDA-cleared AI pathology tools, for $81 million.
Researchers build an AI system that filters EHR data for ED physicians treating urgent cases and recommends search terms that peers have found useful, in the “you might like” style of Amazon or Netflix.
A Washington Post opinion piece says that FDA’s new AI assistant for reviewing drug approval documents is error-prone and “makes stuff up” when summarizing content. HHS attributes the criticism to disgruntled former employees. Analysts flagged a pre-launch HHS report that cited non-existent studies, included invalid links,and mischaracterized findings, concluding that it was likely written using ChatGPT.
Researchers from Johns Hopkins and other institutions warn that older Americans may not live long enough to benefit from FDA-cleared AI technologies unless bottlenecks are removed. They recommend:
Microsoft’s head of AI warns that tools mimicking consciousness may mislead users by telling them what they want to hear. One physician predicts that clinicians will soon ask about AI usage alongside with that of smoking and alcohol. A professor expands on the concern in his book “Automating Empathy.”
While these things are convincing, they are not real. They do not feel, they do not understand, they cannot love, they have never felt pain, they haven’t been embarrassed, and while they can sound like they have, it’s only family, friends and trusted others who have. Be sure to talk to these real people.”
Mr. H, Lorre, Jenn, Dr. Jayne.
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Assort Health nabs $50M to automate patient phone calls, sources say
Assort Health, which helps providers automate processes using AI voice agents, announces $50 million in Series B funding.
ASTP Awards Next Option Year for TEFCA RCE Contract to The Sequoia Project
ASTP/ONC awards The Sequoia Project a second option year as the TEFCA Recognized Coordinating Entity.
Eyebot gets $20M Series A to expand eye care access
Eye care kiosk company Eyebot raises $20 million in a Series A funding round, bringing its total raised to $30 million.
PE firm Advent International acquires PatientPoint, which sells point-of-care advertising to pharma companies and online marketing services to providers.
Advent’s portfolio includes Iodine Software and Definitive Healthcare.
Thanks to AMIA for referencing Dr. Jayne’s concerns about the compliance risks of using free online tools in its Informatics SmartBrief.
Instant Access Webinar: “Healthcare Data Strategies: Retire, Retain, and Ready for AI.” Sponsor: Triyam, an Access Company. Presenters: Sudhakar Mohanraj, founder and CTO, Triyam; Benjamin Cassity, director of research and strategy, KLAS; Jamie Greenstein, senior marketing manager, Access. The presenters deliver practical tactics to help IT leaders manage exploding data volumes — how to clean up legacy systems, craft smarter retention policies, and prepare historical data for analytics and AI.
Contact Lorre to have your resource listed.
Ambulatory-focused health IT vendor CareCloud acquires Medsphere, giving it a foothold in the rural and small hospital IT market. Medsphere’s solutions include CareVue, Wellsoft, ChartLogic, and Phoenix and Systeem IT managed services.
Post-acute care transition AI software startup Cascala Health announces $8.6 million in seed funding.
Censinet appoints James Foster (IronCircle) as chairman of the board.
The Medical University of South Carolina names Marylyn Ritchie, PhD (University of Pennsylvania Perelman School of Medicine) as chief AI officer.
Tampa General Hospital (FL) integrates Clear’s identity verification software with its identity access management platform.
Hammond-Henry Hospital (IL) will switch from Meditech to Epic through an Epic Community Connect collaboration with UnityPoint Health.
Industry veteran and DOGE Acting Administrator Amy Gleason pens an LA Times opinion piece that calls for companies to join the federal government’s data sharing efforts.
TEFCA Recognized Coordinating Entity The Sequoia Project seeks TEFCA experts who are interested in sharing their experiences via recently established TEFCA workstreams. Applications are due September 4.
OSF HealthCare Saint Elizabeth Medical Center (IL) offers virtual ER care to eligible patients.
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PE firm Advent International acquires PatientPoint, which sells digital point-of-care advertising to pharma companies and online marketing services to providers.
Barti Raises $12M Series A to Accelerate AI-Powered EHR for Eye Care
Barti Software, which specializes in EHR and practice management technology for eye care practices, raises $12 million.
CareCloud Closes Medsphere Acquisition, Expanding into the Hospital IT Market
Ambulatory-focused health IT vendor CareCloud acquires Medsphere, giving it a foothold in the rural and small hospital IT market.
Cascala Health Raises $8.6M in Seed Funding
Post-acute care transition AI software startup Cascala Health announces $8.6 million in seed funding.
Like many practicing physicians, I use a variety of tools to research clinical questions. This might be for patients I’m seeing or for board certification questions (which thankfully allow the use of references now).
I received an email from OpenEvidence the other day that announced “a new feature purpose-built for the patient visit” to deliver real-time evidence, help draft your clinical notes, and connect with patient context. It went on to say that the tool can act like a digital assistant and add medical intelligence into notes and other documentation by “automatically surfacing the latest clinical evidence and guidelines directly within your documentation workflow.”
As one would predict, my clinical informaticist sense was tingling. I had to go check it out.
What I found was a potential compliance nightmare. I hope practice leaders are aware of the potential risks and are educating their physicians accordingly. I’ve spent enough time as a physician executive to know that many frontline physicians aren’t aware of compliance issues beyond what they see in annual HIPAA and Fraud, Waste, and Abuse training. Those only touch the surface of all things compliance.
Upon clicking the new visit button in OpenEvidence, I got a pop-p that said that the visits feature “can record patient encounters” and that it requires a “free BAA between your practice and OpenEvidence.” It asked me to input the name of my practice and then told me to “Contact your CMIO” to have my organization establish a BAA, even going as far as providing me a draft message to cut and paste to my CMIO.
If I sent that email to my CMIO, or anyone empowered to manage Business Associate Agreements on behalf of my clinical employer, I’d be laughed right out the door, especially since the preformed letter had the name of the practice wrong.
It also provided the option to say that I am in solo practice rather than with a corporate entity, which is also true for me, since I’ve maintained a legal entity over the years that would enable that should I want to use it. It gave me a one-click option to sign a five-page BAA, but you can bet that I’m not going to be doing that anytime soon.
I’m always skeptical when a service is free because I know money is being made one way or another behind the scenes. Unfortunately, that doesn’t keep people from just clicking and thinking that they’re good to go without fully understanding what is happening with their data.
Once I left that pop-up, I was greeted by a stealthy little pop-up below the search bar that again gave me a one-click option to accept the BAA. Based on how it looked, I can imagine that physicians might just accept it without fully understanding what they’re agreeing to in that innocuous little pop-up.
The experience made me think of other free services that may run the risk of needing a Business Associate Agreement, including Doximity. Plenty of physicians have signed up to use its free services, which include Fax and Dialer. The latter lets physicians call patients without revealing the physician’s contact information. It also allows physicians to send secure texts.
Video testimonials on its website talk about physicians using it to share lab results or other important communications. I hadn’t thought about using that service, but it made me wonder how much physicians are really thinking about it and how they’re documenting these communications in the medical record without there being integration. It made me wonder about the potential liability risks of these services and if physicians are sacrificing accurate documentation for convenience.
Doximity also offers a GPT feature. I tried it a couple of months ago and didn’t think it was that great, so I decided to give it another go.
I asked it one of my favorite dermatology-themed board questions and found it to be utterly unhelpful, giving an answer that essentially said, “it depends.” That certainly wouldn’t be good enough to get me credit for my board certification question block, which had a very specific answer in mind. Fortunately, I had previously used a stronger reference to help manage that question, and I’m grateful that I went with that strategy rather than relying on this one.
I asked a question about electrolytes in a specific medical condition and got a much more satisfying answer, with the response nicely calling out some important details specific to the clinical scenario. Other AI tools I’ve used haven’t done that well with that particular scenario. I still wonder what the company might be doing with my data and my search history.
I don’t remember what was in the Doximity terms and conditions when I signed up. I did it many years ago for a free fax number so I could submit expense reports during a particularly annoying consulting engagement where they wouldn’t accept them in PDF format.
They were easy to find via a link located at the bottom of the screen. They were 23 pages long, so I just skimmed through them looking for interesting tidbits. One was a clause that the user agrees not to use the tools “in any way that violates or conflicts with any agreement to which you are a party, including any agreement with your employer.”
I’ve been involved in enough physician online forums to know that a good number of physicians have no idea of some of the key details in their employment agreements, such as the number of days of notice they have to provide if they’re quitting, or how their bonuses are calculated. I would be surprised if the majority of physicians know the details of clauses that might be lurking in those agreements with respect to tools such as these.
One of my favorite sentences in the agreement: “We do not guarantee the accuracy or reliability of this content and information.” That’s certainly something right there.
The agreement also clearly says that the AI tools are “for informational purposes only” and shouldn’t be “used as clinical decision support tools or for diagnosing, preventing, or treating any medical condition.”
The agreement also linked out to the company’s privacy policy, which clearly states that the company may use de-identified data and share it with third parties for purposes that include to “support commercial opportunities, generate insights and identify trends, and promote our business.” I’m no lawyer, but I’m guessing the part about commercial opportunities allows them to sell that de-identified data for whatever purpose they see fit.
Additionally, they’re clear about how they work with “commercial clients” to target physicians. Although I’m not crazy that the platform enables marketing, it’s not like they’re hiding what they do.
I got tired of reading about two-thirds of the way through, especially since I have a pile of better things to read sitting on my nightstand and at least one novel was actively calling my name.
I’m sure that various company terms and conditions contain other interesting examples. I would be interested to hear from users on some of their favorite or least-favorite clauses.
What do you think about free services that are monetizing your information? Is everyone so used to it by now that no one cares anymore? Leave a comment or email me.
Email Dr. Jayne.
Realizing the Value of AI Starts With Data Governance and Leadership Support
By Mark Leifer
Mark Leifer is data and analytics manager for Tegria.
AI dominates healthcare conversations. Vendors are knocking. Leadership is pressured to act. Pilots are sprouting across the industry. EHR vendors like Epic, Meditech, and Oracle are rolling out exciting AI tools that are embedded directly into their platforms.
Whether your organization is adopting those EHR-native tools or building a custom solution, one thing is clear: data governance is foundational.
Amid the AI buzz, many health systems remain stuck in the proof-of-concept phase, unable to scale or sustain results. Gartner reports that by 2027, 60% of organizations will fail to achieve the full value of their AI initiatives due to poor data governance.
In my experience, this isn’t a technology failure. It’s because the organization isn’t ready, and leadership hasn’t made data governance a priority.
Without Governance, AI Can’t Deliver Results
Imagine your organization rolls out a shiny new AI tool for clinical decision support. The logic is sound. It integrates with the EHR and the demo wowed the C-suite. But six months in, utilization is low, analysts distrust the data, and compliance wants to know who approved it.
This isn’t hypothetical. In fact, it’s a common pattern. AI stalls not because the tech fails, but because data governance was never embedded in the foundation. Behind that missing foundation is a lack of executive sponsorship.
Governance Needs a Seat at the Leadership Table
If AI is going to succeed in healthcare, data governance can’t live in the shadows. It needs executive backing, visibility, and resources.
Once an organization sets clear, business-aligned goals for data and AI, the next most important success factor is strong executive sponsorship. Ideally, that sponsor is someone with a C-level title — like a CIO, CMIO, or chief data officer — who can connect the dots between business strategy and the operational work of governance.
Modern data governance should emphasize accountability, clear decision-making authority, cultural alignment, and measurable outcomes rather than focusing solely on control. Executive sponsors are critical to bridging those priorities across business and IT. Their role is not to manage the day-to-day, but to model support, prioritize funding, and align governance with organizational goals.
When leaders show up to governance councils, reference it in strategy discussions, and reward good data practices, the signal is clear: This matters.
Culture, Not Control, Is the Real Barrier
Governance must move from fixing data to enabling confident use of data across the enterprise, from “AI as a cool tool” to “AI as a governed system.” Developing a strong data culture happens through modeling, incentives, and stewardship that’s embedded into real workflows. Without that cultural groundwork, even well-designed AI tools will flounder. Teams won’t know who owns the data. Trust will be low. People won’t feel confident using the outputs. Worse, they may not feel safe raising concerns when something looks off.
Build a Coalition, Not a Silo
Executive sponsorship is step one. Step two is building a data governance coalition that spans departments. This coalition — ideally a formal data governance committee — should include IT, clinical leadership, compliance, operations, and analytics. Too often, these groups are working in silos. This structure ensures that governance is positioned as a value enabler and a risk mitigator for AI adoption, rather than bureaucracy.
When it comes to AI, the governance committee should help define approval processes, monitor model performance, and ask questions about transparency, bias, and explainability. But they should also help build buy-in, provide feedback loops, and support training across the organization.
Is Your Culture Ready for AI?
Here are four signs that it may not be:
If these sound familiar, you have work to do, but these are fixable problems.
Three Practical Moves To Build Executive-Led Data Governance
If your organization wants better AI outcomes, here’s what I recommend:
Final Thought
AI won’t transform healthcare if we treat it like a series of disconnected tech pilots. It must be guided by strategy, grounded in governance, and shaped by people who understand the intersection of data, operations, and clinical care. That kind of alignment demands executive leadership, cultural change, and above all, trust. And trust begins with governance.
Innovate Responsibly – Cutting Through the Hype of Generative AI in Healthcare
By Holly Urban, MD
Holly Urban, MD, MBA is VP of business development for Wolters Kluwer Health.
In the fast-moving world of generative AI (GenAI), it’s easy to get caught up in the allure of shiny new technologies in healthcare. But we can’t let hype alone outpace responsibility. GenAI’s strengths quickly turn into weaknesses if we deploy GenAI in clinical care without carefully vetting it first.
The Shiny Object Dilemma
The healthcare technology market has become flooded with flashy new tools and solutions. According to Deloitte, 75% of leading healthcare companies are already experimenting with GenAI, and our research shows that nearly three-quarters of healthcare professionals recognize the potential of technology like GenAI in aiding professional development, clinical training, and efficiency.
Still, experimentation doesn’t always equate to readiness. What we should be looking at — and answering — is whether GenAI is capable of solving today’s most pressing challenges.
The key to healthcare innovation starts with creating impactful technology and fostering an environment for clinicians and their patients to thrive. That’s only possible by aligning technology with the real needs of healthcare professionals, the patients they’re serving, and demonstrating the return on investment (ROI) in clinical and financial outcomes.
Rolling out new GenAI should be about matching the problems with the right technology. For example, 60% of healthcare professionals believe that GenAI can improve the patient experience, and 41% think that ambient listening capabilities will enrich patient-provider relationships.
Ambient documentation is a prime example of where GenAI is making a significant impact by alleviating one of healthcare’s biggest challenges in a low-risk domain. It can save clinicians hours each week by creating clear and actionable patient summaries, and there’s an incredible opportunity to integrate clinical decision support and revenue cycle into these workflows.
Balancing Hype with Safety
As GenAI gains traction throughout healthcare, risks persist, particularly as GenAI approaches the actual patient and directly impacts their care. One area of concern among healthcare professionals is the overreliance on GenAI. In fact, a preliminary study from MIT explored how GenAI alters the brain’s ability to process information, leading to impaired learning and retention.
As great as GenAI is at generating content and creating patient summaries in seconds, it’s also capable of hallucinating with complete confidence in the same amount of time. What’s more problematic is the inability to distinguish hallucinations from reality. One study found that up to 45% of residents do not detect hallucinations accurately.
The likes of ChatGPT may perform well on a medical exam or when diagnosing textbook clinical vignettes, but real-world patient care can be far more complex and unpredictable. Patients expect their clinicians to make error-free decisions using trustworthy evidence, not guesswork, to ensure the best possible outcomes.
It’s easy for LLMs to be unaware of clinical context and fail to ask important questions before delivering diagnostic and treatment recommendations when they aren’t held to a gold standard of evidence. LLMs can fail to admit they’re wrong and may lead a clinician down the wrong path if it’s not caught early on.
For example, if you’re treating a patient with a urinary tract infection who is allergic to penicillin, an LLM will likely recommend prescribing fluoroquinolones, which is typically the right course of action. However, if it is not trained to ask if the patient is pregnant, fluoroquinolones could cause a harmful drug reaction in the patient and the fetus.
Real-world concerns can come with severe consequences. GenAI must be fully ready for every clinical application and grounded in rigorously reviewed evidence-based content before doctors rely on it to aid in clinical decision-making.
Making GenAI Responsible for Healthcare
Organizations are beginning to take the lead in building robust AI governance to ensure the safe and responsible use of GenAI at their institutions, as the technology is currently advancing faster than the oversight.
It’s important to learn to walk before you sprint. We’re seeing benefits from gradual rollouts, pilot programs, and industry consortiums offering quality assurance resources for clinical AI. Collaborations are crucial to working towards the same goal of seamless integration and avoiding disruptions or costly errors.
Ultimately, the most effective GenAI tools in healthcare will remove, not add, another layer of complexity to practicing medicine. Our efforts should be grounded in restoring joy to healthcare through the simplification of processes. Patient encounters should focus on care, not on clinicians spending valuable time searching for information.
GenAI offers an incredible opportunity to eliminate friction and accelerate access to the right information at the right time, when clinicians need it. At the end of the day, technology should be an enabler, not a barrier, to delivering the best possible care.
Sonitor and Tagnos will form a single company that combines intelligent workflow software with RTLS capabilities.
Sleep solution vendor Eight Sleep raises $100 million in new funding and announces plans to seek FDA approval.
Tampa General Hospital Adds Organ Donation Registration to MyChart – a First for Florida Residents
Tampa General Hospital goes live with Epic’s MyChart enhancement that allows patients to register as organ donors.
Vermont Business Heavyweight Rich Tarrant Dies at 83
The basketball all-American, US Senate candidate, and co-founder of hospital information system vendor IDX — which was acquired by GE Healthcare in 2006 for $1.2 billion — has died.
RTLS vendor Sonitor will merge with Tagnos, which offers asset management and clinical workflow software.
Its platform supports asset tracking, patient flow optimization, staff safety and efficiency, infection control, and environmental monitoring.
From Dee Lorean: “Re: AI use cases. Replacing much of the EHR user interface seems likely.” Ambient documentation is now table stakes, with the differentiator mostly being EHR integration. AI tools could shift vendor work from tweaking screens and forms to building an AI layer that intelligently summarizes information, supports voice navigation, makes real-time recommendations, and manages the logistics of visit prep and follow-up. Success will hinge on stability, change management, and ease of user education compared to standard app development. Since vendors don’t want to rewrite their EHRs, AI may offer a way to improve UI, workflow, and connectivity without heavy reprogramming. Oracle Health’s approach seems sound for refreshing Millennium without a rewrite, while Epic’s seems more ambitious in addressing research data, patient involvement, and clinical decision support. After decades of obsessing over native screen designs, the real power move will probably be the lessened importance of them as AI becomes more of the UI.
Most poll respondents receive appointment text messages from their providers and are satisfied, although many agree with Dr. Jayne that they get too many.
New poll to your right or here: Which services have you received in the past year from an online clinician you’ve never met? It’s “none of these” for me, so enlighten me with a poll comment after voting.
DonorsChoose was matching all classroom project donations last week, so I applied reader donations and matching money from my Anonymous Vendor Executive to fund several projects:
Ms. B sent a note: “Because of you, my students will now have the resources they need to learn, grow, and thrive. Your contribution is making a real difference—not only in our classroom today, but in the confidence and curiosity my students will carry into the future. We are so excited to put these materials to use, and I know my students will be thrilled to see how many people believe in them and their potential. Your support reminds us that education is a community effort, and we are truly grateful to have you as part of ours.”
Instant Access Webinar: “Healthcare Data Strategies: Retire, Retain, and Ready for AI.” Sponsor: Triyam, an Access Company. Presenters: Sudhakar Mohanraj, founder and CTO, Triyam; Benjamin Cassity, director of research and strategy, KLAS; Jamie Greenstein, senior marketing manager, Access. The presenters deliver practical tactics to help IT leaders manage exploding data volumes — how to clean up legacy systems, craft smarter retention policies, and prepare historical data for analytics and AI.
Contact Lorre to have your resource listed.
Sleep solution vendor Eight Sleep raises $100 million in new funding. The company, whose biometric-powered system adjusts temperature, bed elevation, and sleep routines, will use the funds to accelerate its AI roadmap. The company will develop AI solutions for menopausal sleep and sleep apnea and will seek FDA approval for medical sleep challenges. Its package costs $3,000 to $5,000 and its top-end app and monitoring package runs $33 per month.
IDX co-founder Rich Tarrant has died at 83. Search Vince’s HIS-tory to for more on his legacy.
Tampa General Hospital goes live with Epic’s MyChart enhancement that allows patients to register as organ donors. So did UK HealthCare, which implemented the registration feature that was the result of a collaboration between Epic and Donate Life America.
The state of Tennessee goes live with the Findhelp-powered Tennessee Community Compass, which allows care teams to identify health-related social needs, refer and authorize services, track outcomes, and pay community organizations for the services they provide.
Researchers develop a machine learning tool that detects heart failure decompensation with 98% accuracy from the patient’s self-reported daily weight, blood pressure, heart rate, and symptoms.
Athena Security introduces an IPad-powered hospital visitor management system that offers check-in and check-out, badge printing, and offline operation if connectivity is lost.
Former Google AI expert and startup founder Jad Tarifi, PhD, advises people who are considering earning a PhD in AI should skip it and instead spend those years working in a relevant job instead since the field will outpace their studies before they finish. He adds that medicine and law education are especially vulnerable, as both rely heavily on memorization and knowledge that quickly becomes obsolete.
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MDLand International Corporation – Notice of Data Event
EHR vendor MDLand says that a May ransomware attack exposed the information of 23,000 patients and caused the unrecoverable loss of a month’s worth of customer data.
Trump Officials Demanded Confidential Data About Transgender Children Seeking Care
The justice department demands that Children’s Hospital of Philadelphia provide complete medical records for children for whom it provided gender-related treatments.
Oracle Health 2025: How Are Customers Faring Three Years Post-Acquisition?
KLAS interviews with customers of the former Cerner find a significant level of dissatisfaction, uncertainty, and defections under Oracle’s ownership.
Epic CEO Judy Faulkner tells UGM attendees that the company has 200 AI features in development.
It is a testing a much-anticipated AI charting tool that it developed with Microsoft’s Dragon technology.
Epic is also studying the use of AI to mine its Cosmos research database.
Oracle Health was reportedly in attendance.
Instant Access Webinar: “Healthcare Data Strategies: Retire, Retain, and Ready for AI.” Sponsor: Triyam, an Access Company. Presenters: Sudhakar Mohanraj, founder and CTO, Triyam; Benjamin Cassity, director of research and strategy, KLAS; Jamie Greenstein, senior marketing manager, Access. The presenters deliver practical tactics to help IT leaders manage exploding data volumes — how to clean up legacy systems, craft smarter retention policies, and prepare historical data for analytics and AI.
Contact Lorre to have your resource listed.
Healthcare technology services and consulting firm CitiusTech acquires Health Data Movers, which offers data and application services.
Healthcare investor and services provider HGM Limited acquires coding solutions vendor Aideo Technologies.
Availity will triple headcount at its technical center in India by the end of 2026.
AliseAI, which offers conversational AI agents for housing and medical practices, raises $250 million in a Series E funding round.
A former Emory Healthcare finance employee files a proposed class action lawsuit, alleging that the health system violated the WARN Act by terminating 540 finance employees without giving them the required 60 days’ notice. Emory says it outsourced 232 coding jobs on August 12. An HIStalk reader noted in a June 9 comment that Emory had recently parted ways with nearly all of its IT executives.
Kristin Weir (MacroHealth) joins Inovalon as SVP of product.
NeuroTrax hires Robert Pepper, MBA (Medicept) as CEO.
HL7 publishes version 1.0.0 of “Patient Request for Corrections Implementation Guide,” which supports the patient’s right under HIPAA and GDPR to ask that their medical records be corrected.
Behavioral health documentation technology vendor Eleos launches the OBBBA (One Big Beautiful Bill Act) AI scanner, an AI scribing tool that detects events that could trigger a reduction in a patient’s Medicaid coverage due to new federal restrictions.
A new KLAS report summarizes the experience of former Cerner customers three years Oracle’s acquisition:
Australian physician and journalist Norman Swan, MBChB questions the country’s $1.3 billion My Health Record digital health record platform project: “So, $2 billion on a My Health Record that is still PDFs? It’s shameful. Is the universal medical record for the system, as well as the consumers, My Health Record? And if so, we’re in deep shit.” A government spokesperson responded that they hope to transition from PDFs to FHIR-based data capture in the next 12 months
The Department of Justice issues a subpoena demanding that Children’s Hospital of Philadelphia provide complete medical records for children for whom it provided gender-related treatments.
EHR vendor MDLand notifies 23,000 patients that a May 2025 ransomware attack exposed their information. The company says that data entries from April 1 to May 1, 2025 were irrecoverably deleted and clients will need to re-enter them. MDLand reported a breach in November 2024 that affected 63,000 people.
Pharma contract research organization Inotiv says in an SEC filing that an August 8 ransomware attack continues to disrupt its operations.
Paging Dr. Jayne …
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The big story of the week was the Epic User Group meeting, which sported a sci-fi theme this year. The four-day event started with the traditional welcome picnic on Sunday, with Advisory Councils and Forums on Monday.
Tuesday’s Executive Address, as one might have predicted, was full of Star Trek-style costuming. Judy Faulkner looked like she would be right at home in the Ten Forward lounge in the “Next Generation” series, sporting a lavender wig, neon glasses that coordinated with her shoes, and a sparkly vest paired with silver lamé pants.
Her Executive Address paid homage to problem list pioneer Larry Weed and included a summary of all the AI components that are already within Epic as well as the 160+ AI-powered components that are under development. She mentioned a focus on trying to keep software costs reasonable for health systems. My own health system spent a quarter of a billion dollars implementing Epic, so everyone’s mileage may vary on that definition of “reasonable.”
My favorite quote of the presentation was “Poor training leads to unhappy physicians.” I wholeheartedly agree. I’ve worked in organizations with vastly different training strategies and have seen the difference that good training makes.
The Epic team also emphasized that personalization is important in the EHR. Despite that advice, I still see organizations that try to restrict the ability of users to configure the EHR to make it easier to use. The most common reason I hear is that personalization makes it more challenging to provide support, but I’ve seen enough installations of enough EHRs over the years that I’m not buying that.
Sessions continued into Wednesday and Thursday, but word on the street was that people’s energy was flagging after Tuesday’s Starlight Dinner. The event is a major production for the Epic employees who step out of their usual roles to support attendees and make them feel welcome. I always enjoy talking to some of the folks working the logistics and food service roles and learning what they do in their usual work since UGM is an “all hands on deck” experience and people often contribute in ways that are vastly different from their day-to-day. If you have pictures or comments about this year’s UGM, feel free to send them my way.
Apple announced earlier this week that it would introduce a redesigned blood oxygen feature on certain Apple Watches starting immediately. The issue impacts watches that were sold in the US after the International Trade Commission enacted an import ban as part of a patent infringement allegation by medical device maker Masimo. There may be additional legal wrangling to come based on suits and countersuits, but for now, users can enjoy an additional element in their quests for the quantified self.
Industry watchers are still trying to figure out how telehealth will ultimately fit into the healthcare delivery systems of the future, at least until another pandemic appears. Hims & Hers Health shares dropped last week following publication of details related to a Federal Trade Commission investigation. Consumers have long complained that the company makes it hard to cancel subscriptions and that some of its marketing practices push the limits of what is legal.
Regardless of legality, many of my primary care colleagues find their marketing to be a bit grating, with phrases such as “telehealth for a healthy, handsome you” and a focus on so-called lifestyle medicine that leads to high numbers of subscription-based prescriptions with nary a mention of coordinated or chronic care on the company website’s About page. Their care model is largely asynchronous, which means they don’t perform a physical exam that is certainly indicated for some of the conditions they treat.
I ran across another article this week that looked at a potential growth area for telehealth: caring for patients who are afraid of immigration enforcement actions at healthcare facilities. A physician who was interviewed for the piece notes an increase of patients who require emergency department-level care because their families are avoiding office visits.
The piece also quotes a policy analyst who notes that this phenomenon is happening across the country in the community health center space. The National Association of Community Health Centers is hosting its Community Health Conference & Expo this week in Chicago, and I anticipate this might be a hot topic in that forum. If you work in a community health center and want to share your thoughts, feel free to reach out.
From Left My Heart in San Francisco: “Re: Providence. Did you see this article about their accusing Kaiser of shorting them on payments? I would love to see these two square off in a steel cage match.” Kaiser Foundation Health Plan Inc. is accused of underpayment, but the payer responded that the hospitals are “seeking payments above fair and reasonable levels.” This occurs when the facilities treat patients in situations where price agreements are not in place. Kaiser argued in court documents that Providence is trying to group claims from disparate facilities across broad geographies, with variable economic elements at play. Kaiser is advocating for resolution through a federal program created by the No Surprises Act in 2021, but it’s no surprise that Providence wants to have its day in court.
OpenEvidence reported that its AI model has scored 100% on the US Medical License Exam (USMLE) and has achieved “super high-grade medical reasoning.” The company is offering a free explanation document that is targeted to medical students. I didn’t find the document terribly interesting. It looked a lot like the test prep books that I used to study for my own trip down USMLE lane back in the day. That’s not entirely surprising since the company’s founder previously worked for the Kaplan test preparation company.
The company offers a free AI-powered search platform to US clinicians that is made possible by its advertising relationships. I’m not super keen on having my eyeballs monetized, but will be watching to see what moves the company makes next.
I’ve been an anonymous blogger for more than a decade. As Mr. H has said, what we do is a fairly solitary pursuit. Most people in my “real life” have zero interest in healthcare IT, although I do have one ride-or-die friend outside the industry who reads regularly and gives me feedback, which is always a gift.
I’ve been asked in the past whether I’d ever want to drop the cloak of anonymity and join the ranks of medical influencers. I’m glad that I have no delusions of being TikTok or Instagram famous. I can barely remember to take my daily multivitamin, let alone be mindful of the need to constantly generate content to solicit likes. Without my trusty Outlook calendar appointments, I would probably not stay on track to send my posts to Mr. H each week. I will leave the medfluencing to the next generation.
Who is your favorite physician influencer and why? Leave a comment or email me.
Email Dr. Jayne.
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Mr. H, Lorre, Jenn, Dr. Jayne.
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