SymphonyAI Group combines its holding Get Well patient engagement business with its AI-powered precision care company, RhythmX AI, to form GW RhythmX.
MedEvolve Announces Acquisition by Emergence to Accelerate AI-Driven Revenue Cycle Transformation
Investment holding company Emergence acquires RCM technology vendor MedEvolve, which sold its RCM services business a month ago.
Covid-era rules for addiction medication, Ritalin are extended again
The federal government prepares to once again extend a temporary rule that allows physicians to prescribe select controlled substances via telemedicine.
SymphonyAI Group combines its holding Get Well (formerly known as GetWellNetwork) patient engagement business with its AI-powered precision care company, RhythmX AI, to form GW RhythmX.
RhythmX AI founder and CEO Deepthi Bathina will lead the new company, while Get Well founder and CEO Michael O’Neil will serve as vice chair.
From PagingDrLeftOnHold: “Re: CMS requirement that telehealth doctors list their actual location. A health system spending $1 million a year to confirm that doctors are at home feels like a perfect American healthcare story.”
More fun with the Opal AI app builder. I made Interview Grader, which evaluates any HIStalk interview against a 10-item rubric that I developed and then assigns letter grades for each item and overall. It has no practical use other than as an experiment.
PR and marketing people: I then applied that rubric to make an interview prep sheet. I also generated a promotional plan for an interview that uses my most recent one as an example.
Thanks to our veterans and their families for the quiet sacrifices they have made on behalf of the rest of us. The impact of your service, from basic training to separation, continues long after the uniform comes off.
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Investment holding company Emergence acquires RCM technology vendor MedEvolve, which sold its RCM services business a month ago.
TruBridge announces Q3 results: revenue up 2%, EPS $0.88 versus –$0.21, beating analyst expectations for both.
NextSense raises a $16 million Series A round to market its wireless earbuds that monitor EEG patterns and use auditory stimulation to enhance slow-wave sleep. The device costs $399 plus a $15 monthly subscription.
Vitalchat promotes Brady Keeter to SVP of product and Mackenzie Laughridge to SVP of people.
MPulse names Eileen Cianciolo (Clarity Software Solutions) chief product officer. MPulse acquired payer-focused Clarity in August.
Rutland Regional Medical Center CMIO and medicine chair Rick Hildebrant, MD, MBA, MA is appointed commissioner at the Vermont Department of Health.
The American Telemedicine Association promotes Kyle Zebley to CEO. He replaces Ann Mond Johnson, who has retired.
CalmWave develops Alarm Insights to give clinical device managers visibility into bedside monitor alarm functionality and patterns.
CTG will offer Hippocratic AI consulting services and will co-develop solutions with the company.
UF Health (FL) goes live on Epic’s MyChart Central, giving patients the ability to log in to their medical records from across participating organizations using a single sign-on.
OpenAI is reportedly considering entering the consumer health market, such as creating a personal health assistant or health data aggregator.
Nemours Children’s Health will expand its new advanced care at home program, which offers remote patient monitoring and virtual support, to its hospital in Delaware. Launched in June at the health system’s hospital in Orlando, the program has helped families avoid 91 emergency department visits and prevented 27 readmissions.
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Nemours Children’s Health Launches Nation’s First Pediatric Advanced Care at Home
Nemours Children’s Health prepares to expand its new advanced care at home program, which offers remote patient monitoring and virtual support, to its hospital in Delaware.
Baraga County Memorial Hospital (MI) will implement Oracle Health CommunityWorks and expand its use of the vendor’s clinical AI agent.
Duval DOGE to look into city’s telehealth provider
A city councilmember in Jacksonville, FL, questions the city’s contract with telemedicine vendor Telescope, citing potential misuse of taxpayer funds and rumors of potentially illegal conduct.
The hot news around the telehealth virtual water cooler this week was the new CMS billing requirement that telehealth physicians list their actual location rather than an office address. The previous requirements allowed us to avoid using a home address. This not only protected our personal information, but also provided uniformity for our practice organizations.
For those telehealth physicians employed by hospitals or health systems, this could lead to requirements that they physically go to the campus to provide telehealth services. This creates additional load on the hospital, which may not have space for telehealth providers. Allowing them to practice from home, while repurposing clinic space for additional providers, was one of telehealth’s benefits. The CMS rule does not address the needs of physicians like me who work for independent telehealth organizations that don’t have a campus or building in our local area.
Although CMS claims it will protect the home addresses, I’ve been a victim of data breaches and identity theft enough times that I don’t trust anyone to keep my information private. Plenty of other government agencies don’t have appropriate policies to deal with people who practice from their homes, including the Drug Enforcement Administration and many of the state controlled substance agencies. Their regulations haven’t kept up with the times, but I don’t think anyone is surprised by that.
Also, there is no guarantee that a physician who is not in the office is doing telehealth from their home. I have done it from hotels in at least a dozen states, from the homes of family members, and from a docked ship. I certainly don’t expect my employer’s credentialing organization to keep up with that.
Other conversations around the water cooler continue to revolve around the ongoing government shutdown. Some clinics are seeing higher-than-usual rates of no-shows and cancellations. In lower income areas and the academic faculty clinics, patients are citing financial issues as a barrier to transportation.
Although some of our clinics can provide cab vouchers for patients to get home, it’s more difficult to arrange transportation to the clinic. Now that we’re over a month into the shutdown, we should start to see data on patient prescriptions and fill rates, and whether those have been delayed by all of the issues. I’ve seen data from at least one military facility that showed a clear impact, but I’m not able to access that kind of data for my own facility. It would be an interesting research project, however.
The hot clinical topic of the week was the news that the American College of Cardiology and American Heart Association have updated the hypertension guidelines. The new numbers mean that many more patients will qualify for a hypertension diagnosis. Depending on how much of a focus an organization has placed on the management of hypertension, this could potentially mean a fair amount of work will need to be done in the EHR and elsewhere in clinical applications.
Even if we’re talking about modifications to EHR-based alerts, the lift could be significant if the organization hasn’t standardized the EHR or has created different alerts for different locations, specialties, or types of visits. It can also mean modifying dozens or hundreds of reports, patient outreach campaigns, and patient education materials.
Although these two organizations have reached agreement on the recommendation, a number of other organizations have not endorsed the new guidelines. They include the American Academy of Family Physicians, the American College of Physicians, and the International Society of Hypertension. If your organization follows one of their guidelines, you probably have some time before these groups get on board with the new, lower numbers.
It’s still a good opportunity though to take inventory of your hypertension-related alerts, reports and outreach programs to get ahead. I’ve peered under the hood of a number of the EHRs of large healthcare organizations over the last 20 years and some of you have your work cut out for you.
It will also be interesting to see how long it takes consumer-facing healthcare apps and tools to update to the newer guidelines, or if instead they will just stay where they are. I’ll be keeping a close eye on my wearables to see if there are any changes and will report in when I see them. I only use a couple of apps, so if readers see anything before I mention it, please share.
Regardless of the technical ramifications of updated guidelines, there’s also the real-world clinical practice element related to a change like this. How do we as physicians convince our patients to lose more weight or take another medication to bring them into compliance? Many patients find it impossible to reach the previous goals, so there’s not much of a chance of them meeting the new ones.
It will also be interesting to see if the prior authorization processes for weight management medications follow the new goals right away or whether payers gravitate toward the guidelines with more lenient goals.
One of my informatics colleagues asked a question about how real-world evidence (RWE) fits in a situation like this where the proverbial cheese has been moved. Certain EHR vendors have pressured everyone to get on the RWE bandwagon. I’m no expert in the field, but if you’re looking to see how clinicians treated patients with a blood pressure that used to be normal but now isn’t, they’re not likely to have done many interventions because the blood pressure was viewed as normal. We will see how long it takes for real world evidence to shift and for there to be patterns that align with the new thresholds.
If you’re an expert in real-world evidence, I would love to hear from you, and I’m happy to keep you anonymous. Maybe a fireside chat on the hamster wheel of clinical guidelines is in order? Or just some good old-fashioned ranting about the challenges of practicing medicine in an era where physicians are seen as less knowledgeable than TikTok celebrities?
What do you think of the new clinical guidelines, the ramifications to your health IT systems, and their impact on real-world evidence tools? Leave a comment or email me.
Email Dr. Jayne.
William Cavanaugh, MBA is CEO of Concord Technologies.
Tell me about yourself and the company.
I’ve been in technology for over 30 years and health tech for 20. I’ve worn just about every hat there is to wear in a healthcare technology company, from making the coffee, developing the software, taking out the trash, closing the deals, and writing the business.
The high-level mission of Concord Technologies is to advance healthcare through universal exchange and intelligent processing of data. We leverage advanced AI to drive a smarter, faster, and more connected healthcare ecosystem.
What kinds of documents do health systems receive and what challenges do they experience in processing them?
The big challenge in healthcare is the exchange of data between disparate healthcare entities. You have to look at the volume of data. There are 2.3 zettabytes of data generated every year across healthcare. What’s a zettabyte? I can tell you that it’s a billion gigabytes, but that doesn’t really represent the challenge.
If you look at one hospital to paint the picture, one hospital creates 50 petabytes every year. Again, that is difficult to comprehend. Picture yourself in an NFL stadium, in the upper bowl. If you printed the physical equivalent of the annual data from just one average hospital, it would fill 750 NFL stadiums to the brim, and it is growing at 36% a year.
Now you need to share that data. You can’t email it to a doctor because it will go to junk or spam. You need a secure, ubiquitous way of sharing that data. Everyone thinks that the big EHR vendors are going to solve the problem, but there are 500 EHR vendors. They are also not the only player when you add in radiology information, PACS, payers, and pharma. There are thousands of different systems.
On the entity side, the US has 6,000 hospitals, but the number blooms over 200,000 disparate entities and growing when you add in post-acute, outpatient, private practices, urgent cares, specialty practices, et cetera. The problem that we are solving spans 200,000 disparate entities, 1,000 software vendors, 2.3 zettabytes of data growing at 36% a year, and you need to share data.
The space that we play in is documents. Think about documents between your payer, pharmacist, EHR, specialty, and primary. Our very large customers do big volumes. We do about 22 million pages a day through our network. Our big customers do over 50 million documents a month. One of our big EHRs does 90 million a month. We bring that data through an exchange protocol, universal protocol, and then we like to say that we bring it to life. We classify the document, extract key pieces of information, and then insert it into the systems that we’re on.
People might think of interoperability as a FHIR-based data exchange. How does that approach coexist with how documents are managed?
I always say that we’re not in the fax business. But at 10,000 feet, we are a fax company, even though we don’t use paper and fax machines. We use the digital fax protocol to exchange these documents.
FHIR has been around for a long time, plus HL7, integration engines, QHINs, and HIEs are trying to create the structured data exchange. We keep it simple. You have a phone number, and from any EHR, you click “send document.” If MD Anderson wants to send a document to Debbie’s Dermatology in Rice Lake, Minnesota from the EHR, they click “send document” and Debbie’s Dermatology, if she has a fax number, receives a document. Then it automatically sends a response back to the referring physician at MD Anderson that the document was received.
That’s what we do very simply, but we don’t stop there. Your big dermatology clinic gets 5,000 documents in a month. What is this document? We classify it. Then a dermatology clinic is looking for different pieces of information in that 50-page chart that just came across and that a urology clinic would be looking at. We extract the pieces of information, leveraging AI, that are relevant to the receiver of the document. That’s where we bring it to life.
Fax gets a bad rep in the market. I almost didn’t take this job as CEO because I heard we were a fax company, but we’re in the digital exchange business, using a universal protocol.
You asked about FHIR, though. There are instances where FHIR comes into play. We use FHIR to do a lookup to find that patient in Debbie’s Dermatology to match it so we can insert into the system a record. Then we use HL7, which has been around for 15 to 20-plus years as well.
The mental picture of faxing is someone watching thermal paper spool off a fax machine that is covered by taped-on “send” numbers. Is healthcare the only industry where faxing is still a viable way to exchange information?
When you say fax, you think of the curly paper, and if you’re as old as I am, the dial tone. That’s not the business we’re in.
We had a third party do some market research and I’m still surprised by the number of fax machines and paper faxing that is still done in healthcare. Anywhere from at least 10% to 15% of the documents still go through that old-fashioned, corded phone protocol.
Other entities also use fax, both digital and old-fashioned fax. Legal still uses it to fax documents. Payers, the FBI, and the IRS still use it. Other big government entities and institutions, along with mortgage companies, use old-fashioned fax. They’re also migrating to digital fax.
There is still that need when you want a secure ubiquitous protocol to send and receive documents where email doesn’t work, and that fax protocol is still used outside of healthcare. But I would say that around 70% of the digital document exchange via that fax protocol is within healthcare.
How does the process change in moving to digital fax, and what technology criticisms does that eliminate?
The biggest criticism of digital fax is that it’s not structured. By structured, I mean that you are mapping specific data fields from one system to the next. Fax comes in as an unstructured document, such as a PDF, Word document, or chart. It’s not broken down into its discrete fields.
When that document is received, whether it’s a two-page prior authorization or a 500-page patient chart, it’s just a big PDF. What am I going to do with that big, unstructured document? If you stop just with the digital transmission, even through a cloud-based digital fax protocol, that’s the knock on fax. It doesn’t get me to where I need to be. I still need to scan through the document or read it to figure out what it entails.
With the introduction of large language models, which is the generative AI that is permeating all parts of society, I see the ability to grab unstructured data, pieces of information, from a 500-page patient chart through a large language model that can understand the context as well, which large language models are really good at. They extract the key pieces of information that are needed for the recipient. That will transform how digital fax will have higher quality, lower cost, and better efficiencies for healthcare than try to use things that have been around for a long time. I get to be too geeky, but it’s called CCDAs to structure all these fields in HL7 and FHIR to map all these discrete fields from one system to the other.
Why don’t we just do this mapping and do all this structured data exchange? Again, you just have to look at the volume. Epic has anywhere from 50,000 to 150,000 discrete data elements, based on the configuration, and every configuration of Epic alone is different. Doing that mapping isn’t rocket science, but it takes a lot of one-time work and ongoing effort to keep that up versus just sending the whole document through a secure, ubiquitous protocol that everybody has. You don’t need FHIR, HL7, a QHIN, or HIE. You have a phone number, so you can leverage the telecommunication backbone and security that is already there. Now let technology do the work to bring that unstructured document to life.
That’s relatively new even for our company, and within the overall digital fax industry. But it’s a way to transform interoperability within healthcare.
How much of the information in those documents needs to be integrated into the EHR and other systems?
The unstructured document that comes into the hospital, usually through digital fax protocol, is still probably at least 80% of the transmissions in healthcare. We’re seeing Direct Secure Messaging, and think of that as secure email. Maybe it’s about 10% of the transmissions right now. When you do it through a Direct Secure Message, it comes in through structured, but the challenge is that it doesn’t represent all of the data.
You can’t put an image in there, obviously. You’re not going to structure clinical notes. You still have to provide some unstructured data, which gives context to the recipient, the physician who needs to review the patient who was just imaged at a facility or gone to an emergency room, to get the whole context of the patient.
You call your AI approach “Practical AI.” What does that mean?
We call it Practical AI because it’s exactly what it is. A lot of AI doesn’t add much value. Ours is practical because it’s pretty straightforward and we’re focused on solving real, practical problems. So with 10,000 documents coming into a payer, hospital, or pharmacy, is it a purchase order that goes to finance? Is it a prior authorization with high priority that needs to be responded to within the next 30 minutes because there’s a patient in an ER waiting for that prior authorization? Or is it a claim that needs to be processed in the next 30 days? The first part of our Practical AI is that we’re going to look at this document that just came in and identify its type.
The other part of the practical side is that in healthcare, nine times out of 10, there’s a patient associated with it, and probably a provider and a record number. We have to extract the patient and identify them by date of birth and address so we can find that patient in the recipient system. That’s a practical use of AI to classify, extract, and then decide what the system needs out of this 50-page document. Sometimes 20 pages and sometimes only three fields. We will make it practical in terms of what’s needed for this incoming transmission for that hospital provider or payer.
How does AI fit into the hype cycle and your company’s business strategy?
It is definitely advancing along the hype cycle and finding some real practical uses. We who use ChatGPT or any of the tools see its ability to digest information in human speech, synthesize information, and create really nice clinical summaries. If the meeting you’re in has three action items, you don’t have to take notes, because it’s going to find it for you. That’s the practical side of how AI is being used.
In our world, we’ve been doing machine learning for over 10 years. It requires a lot of training and use. It gets more challenging and specific with the introduction of large language models. Now you can throw large pieces of information at a large language model, especially when it’s been fine tuned with customized prompts for healthcare, to add real advantages of efficiency, accuracy, and clinical efficacy in the delivery of care.
Towards Humanist Superintelligence
Microsoft forms an MAI Superintelligence Team to develop AI that exceeds human capability, with medical diagnostics being its first focus area.
Volpara Now Operating Under Lunit Brand
Cancer diagnostics company Lunit retires the Volpara Health Technologies brand, integrating its AI breast health technology under the Lunit name.
WISeR (Wasteful and Inappropriate Service Reduction) Model
CMS chooses six vendors to participate in the six-year, six-state WISeR pilot program to automate prior authorization with AI: Cohere Health, Genzeon, Humata Health, Innovaccer, Virtix Health, and Zyter.
Microsoft forms an MAI Superintelligence Team to develop AI that exceeds human capability, with medical diagnostics being its first focus area.
The blog post was written by Mustafa Suleyman, who joined Microsoft as CEO of AI in March 2024 after co-founding DeepMind and Inflection AI.
From VectorPilot: “Re: ChatGPT. It’s one thing to say ‘see a professional’ when asked for clinical advice. It’s another when it will still give a fully formed management plan if you fool it by saying it’s for an article or screenplay you are writing. Nobody can guardrail everything that AI does. For health systems, this is a governance test since this change doesn’t eliminate liability, it just migrates it to health systems. These are uncredentialed clinicians, not toys.”
From Over Easy: “Re: UnitedHealthcare’s decision to stop paying for most RPM because evidence is lacking. The real question isn’t what will be reimbursed, but rather who will fund the next wave of evidence generation when the payer says, ‘show me value now or vanish.’”
![image[8][3]](https://histalk2.com/wp-content/uploads/2025/11/image83.png "image[8][3]")
Most poll respondents see a conflict when a health system pitches a product from one of its portfolio companies.
New poll to your right or here: Which recent development will hit health tech sales the hardest?
Listening after YouTube pushed it on me: Netherlands-based Focus. Forget that 1970 musical albatross “Hocus Focus” that wears out the welcome of excellent playing with manic yodeling and fluting and instead enjoy some decent 1970s prog rock, although keyboardist, flute player, and vocal gymnast Thijs van Leer looks like a coked up Dr. Frasier Crane attending to the Hammond B-3 organ. The two remaining original members still make pretty good music for appreciators of the genre, who also number about two.
I’m experimenting with Google’s experimental no-code mini-app builder Opal, where you simply describe what you want your app to do and it creates it. I made a little app where I provide a link to a company’s earnings report and it extracts the specific details that I track, retrieves share performance and market cap data from Yahoo Finance, compares results to analyst expectations, and calculates the 12-month share price change. Emboldened by immediate gratification, I build a second app that accepts a company’s website URL and then summarizes what the company does, the name and previous job of the CEO, the three latest news headlines, and the year the company was founded.
![image[5][3]](https://histalk2.com/wp-content/uploads/2025/11/image53.png "image[5][3]")
Lastly, I used a sample blog writing app to create an article about OpenAI’s throttling of ChatGPT’s medical advice capability. It did a great job, including generating an Internet-standard cheesy clickbait graphic.
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Cancer diagnostics company Lunit retires the Volpara Health Technologies brand, integrating its AI breast health technology under the Lunit name.
A New York Times article calls around-the-clock fetal monitoring “the worst test in medicine,” saying that it drives unnecessary C-sections despite its inability to reliably predict fetal distress. The article says the use of the technology stems from malpractice fears, hospitals running centralized remote monitoring centers to cut labor costs, and software vendors such as PeriGen that make unsupported claims. One obstetrician concludes, “We may be the only specialty that continues to do major abdominal surgery without a shred of evidence of benefit.”
WellSky launches a patient engagement solution that allows providers to deploy two-way text and chat campaigns for refill assessments, infection services, and onboarding.
CMS chooses six vendors to participate in the six-year, six-state WISeR pilot program to automate prior authorization with AI: Cohere Health, Genzeon, Humata Health, Inovaccer, Virtix Health, and Zyter.
A large health system estimates that it will spend $1 million per year to comply with a new CMS rule that requires telehealth physicians to list their actual location, such as a home address, rather than their office address. The American Telehealth Association warns that hospitals would need to verify hundreds of addresses to stay compliant, and the health system says it may instead require remote clinicians to conduct telehealth sessions from the hospital.
India’s supreme court rules against a hospital that sought to move its lawsuit with a technology vendor into arbitration. The court affirmed earlier findings that although a contract section was titled “Arbitration,” it did not create an arbitration agreement since it required any unresolved disputes to be decided in civil court.
Judy Faulkner says in her latest post in Epic’s “Hey Judy” series that she’s glad she didn’t get an MBA because she would have been taught to court outside investors, plan an IPO, issue impressive job titles, set and follow departmental budgets, and hire via interviews, none of which the company does. The company’s budget policy is “buy it if you need it,” Epic hires mostly based on test results, and she encourages employees who are attending conferences to just make up a job title. I’m curious to hear from anyone who made up an interesting Epic job title.
Police in South Korea charge four doctors and dozens of patients with faking medical records to collect $340,000 in insurance payments. The scheme collapsed when an insurer checked the address of the supposed inpatient facility and found it was a luxury hotel.
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CareCloud Reports Third Quarter 2025 Results
CareCloud reports Q3 results: revenue up 9%, EPS $0.07 versus –$0.28, meeting earnings expectations and beating on revenue.
Amae Health Gets $25M to Scale Nationwide, Deepen AI Capabilities
Severe mental illness provider Amae Health will use $25 million in new funding to expand its clinic footprint and further develop its AI-based care software.
Huron acquires the payer consulting services division of Axiom Systems.
From Informatics MD: “Re: UnitedHealthcare. Changing its payment policy to eliminate coverage of remote patient monitoring in most emerging uses. This is likely to have an adverse effect on future development and growth of evidence.” The insurer says that starting January 1, 2026, it will cover RPM only for heart failure and hypertensive disorders of pregnancy.
Googling “remote patient monitoring + insurance” lists a lot of RPM companies whose business model of being paid by a cut of increased provider billings just went poof.
The insurer says that evidence is lacking for conditions such as COPD, depression, and diabetes, and with revenue for those services dropping to zero, nobody will spend the money to generate new evidence.
One might also call out providers who were happy to bill for RPM but paid no attention to the alerts it generated, adding zero value except to their wallets. Patients might as well buy a smart watch and monitor themselves.
From Dirk Dongler: “Re: the CarPlay dongle you bought for $16.99. It’s now $29.99. You are driving markets, like NYT Wirecutter or Kim Kardashian!” Tip: ask Amazon’s Rufus AI chatbot on the item’s page to “show price history.” Not only will it provide a graph of the item’s historical pricing from this seller, you can also ask it to compare the item with similar ones, where it will display a table and a summary of “Best Value” and “Most Reviews.”
Welcome to new HIStalk Platinum Sponsor SlicedHealth. SlicedHealth is a healthcare technology company that is transforming contract management through intelligent automation and hands-on support. Driven by SlicedIQ, our AI-assisted engine equips hospital leadership with the tools they need to model and optimize contract performance, streamline operations without adding additional staff, and maximize revenue recovery. From claim estimation and business intelligence to a robust price transparency module built for compliance, SlicedHealth empowers all hospital leaders to recover revenue lost to denials and underpayments, because revenue you can’t see is revenue you’ll never collect.
Speaking of SlicedHealth, the company just announced SlicedIQ, an AI-powered revenue cycle optimization platform for rural hospitals. I noticed from the announcement that industry veteran and pharmacist Reed Liggin, MBA (McKesson, RazorInsights, Athenahealth, and EasyScripts Technology) is co-founder and CEO of the company.
None scheduled soon. Contact Lorre to have your resource listed.
Virtual healthcare company LifeMD, which just made headlines for selling its WorkSimpli document management platform, delays its Q3 earnings report as it corrects prior revenue recognition issues.
CareCloud reports Q3 results: revenue up 9%, EPS $0.07 versus –$0.28, meeting earnings expectations and beating on revenue. Shares jumped 20% on the news, valuing the company at $125 million.
Huron acquires the payer consulting services division of Axiom Systems.
The American Red Cross releases a resuscitation app that provides access to code and reference cards, protocol cards for all of its life support programs, compression and drug timers, and real-time documentation forms.
Former health tech executive Chris Klomp tells Politico that he took his current job of running Medicare for CMS because he felt guilty for making a lot of money as a health tech entrepreneur. He adds that even though he founded Collective Medical to coordinate care and then sold it to PointClickCare for $650 million in December 2020, he found when he moved to DC that getting his kids’ medical records to their new pediatrician “involved fax machines and paper releases, and my wife sat and said, ‘Wait a minute, I thought you built a company that, like, fixed this whole interoperability thing.’”
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Physicians around the virtual water cooler became excited earlier in the week when we heard that ChatGPT was going to start restricting how it manages medical and legal queries. The headlines were great, including gems like “OpenAI Bans ChatGPT From Giving Medical, Legal, or Financial Advice Over Lawsuit Fears.”
OpenAI clarified its position later in the week, explaining that the system will continue to provide general information on those topics, but it will also refer the user to appropriate professionals. The company also stated that users shouldn’t use the tool for “provision of tailored advice that requires a license, such as legal or medical advice, without appropriate involvement by a licensed professional.”
I test drove ChatGPT myself with the above question, along with several others. I was glad to see that it recommended consultation with a healthcare professional.
Looking at its use from the healthcare provider perspective, however, issues remain. I fed ChatGPT a clinical scenario that was chock-full of Protected Health Information (not from a real patient, of course) and asked it to operate from the persona of a medical resident. It didn’t even blink, giving me a list of initial assessments and interventions to perform. It even offered a more detailed management plan and checklists, and when I asked it to generate those, it included the patient’s name in its response.
ChatGPT isn’t Covered Entity, so it isn’t subject to HIPAA regulations. Still, the response tells me that the company doesn’t have many physicians on staff who are guiding its development.
Autumn is upon us, and those in the US who partake of Daylight Saving Time have shifted our clocks back to standard time. That means that some of us will endure weeks of people using the wrong convention when discussing options for scheduling meetings because they don’t fully understand the difference between using “EST” versus “EDT” in writing. I tend to take the lazy route and just say Eastern or Mountain for the date in question, which generally helps avoid the issue.
As a side note, given the number of healthcare organizations that operate nationally, include the appropriate time zone when offering meeting times unless you are sure that everyone on the email is in the same one. I wish I had a dollar for every reply I had to send asking, “Are these options Eastern?” rather than being able to simply indicate my availability.
The fall season also brings my annual complaint about the mammogram reminder letters that are sent by the health system where I receive most of my care. Despite spending hundreds of millions of dollars on an upgraded EHR, they still can’t figure out how to run their reminder letters from a report that takes into account whether patients have already scheduled their next study.
In addition to being a waste of money for the health system, it also creates anxiety for patients who wonder if their appointment was scheduled incorrectly, inadvertently canceled, or fell victim to some other IT misadventure. I have to log into my patient portal every year to confirm that my appointment is still there, which doesn’t build trust or confidence in the health system.
Speaking of complaints, one of my neighbors reached out for advice on how to handle a negative interaction that she had at a local medical practice. I won’t generally weigh in on the interaction or the specific clinical issues since I know that every story has multiple sides, but I’m happy to give advice on how to best provide feedback since most patients don’t understand the different practice structures in our area (academic practice, private practice, employed practice owned by a health system, employed practice owned by private equity, etc.)
This one threw me for a loop. Although the patient thought she was at physician-owned private practice, it was actually a private equity situation. The mid-level provider she saw doesn’t have a collaborative relationship with the physician the patient originally asked to see. Even though four physicians were in the office on the day of the visit, the NP’s supervising physician practices in an office 70 miles away and is never physically present at this location.
I’ve seen these kinds of arrangements in rural areas, but not in the city. I recommended feedback to the practice manager and the supervising physician, but the patient still feels like it was a bait-and-switch situation.
I’m familiar with the particular private equity organization that is involved, so I let her know that I’m happy to help when she gets her bill. It will be confusing and sent from a name and location that bears no resemblance to the site where she received care. It’s a sad commentary on the complexity of our healthcare system and how patients regularly find it confusing and unsettling.
From Jimmy the Greek: “Re: employees using AI to create fake receipts for expense reports. Companies are using AI to try to catch the fraudsters.” I hadn’t heard about this particular phenomenon. I quickly went down the search engine rabbit hole to see what kinds of scams people were pulling. We’ve come a long way from the days when taxi drivers gave you a blank paper receipt so you could fill in your own numbers, but dishonesty will always be there. For most of my career, I’ve reported to other physicians, and it has been interesting seeing which ones made a point of commenting on the contents of expense reports. One of my favorite supervisors mentioned on a team call once that too many of us were eating fast food and needed to make some changes to our meal choices.
It sounds like many of the expense report management vendors such as Expensify and Concur are using tools to catch these types of fraud. Coupling those kinds of audits with a company-issued credit card where expenses flow straight to the expense management platform seems like a fairly straightforward way to dramatically reduce the number of incidents.
Traveling employees who like playing the points and miles games don’t like to use a company card, but given the scope of fraud, I can see why organizations might require it. My hospital phased out company credit cards several years ago, but I wouldn’t be surprised if they bring them back based on stories like these. Younger employees missed out on some of the silliness we experienced when filing expense reports, like taping paper receipts to a sheet of copy paper so we could feed them through the fax machine.
From AI Naysayer: “Re: attitudes about peer physicians using AI. Did you see the Johns Hopkins article? I can’t say that I’m surprised. Plenty of people at my institution do dumb things with AI that make them look less competent.” The piece explores the tension between clinicians who are pressured to be early adopters of generative AI technologies and those who are skeptical about its benefit. I thought it interesting that the promotional article mentions the underlying study but didn’t have a link, but it’s unclear if this was intentional or just sloppy writing. Either way, the piece leans toward there being a social stigma that may be blocking the growth of AI in healthcare.
It was fairly easy to find the publication in question. It was a small study, with only 276 clinicians participating. They were placed in three groups: one with no AI use, one with AI as the primary decision-making tool, and one using AI for verification only. Participants worked through diabetes care scenarios. The authors found that the verification option helped mitigate negative perceptions, but it didn’t eliminate them completely. They also note that this study was simplistic and that more research is needed, including creating specific measurement instruments and examining behaviors outside of the single participating health system.
Would you be more or less confident in a physician who used generative AI tools to create your plan of care? Leave a comment or email me.
Email Dr. Jayne.
Titan Holdings, Building AI Businesses Across Key Industries, Unveils Newest Venture: Tala Health
Tala Health, which develops AI agents to support clinicians and to address administrative burden, raises $100 million in financing.
Omega Systems Expands Healthcare MSP Leadership with Acquisition of Peake Technology Partners
Managed IT and cybersecurity services company Omega Systems acquires healthcare-focused Peake Technology Partners.
DHA Seeks Industry Feedback on MHS Genesis Deployment Methods
The Defense Health Agency seeks industry input on MHS Genesis deployment methods that will minimize operational disruptions and ensure smooth transitions for new users.
Nearly all surveyed health system executives believe that digital and AI tools can help them move to more proactive care. Most see key areas as providing off-campus care, using CRM systems to schedule ongoing care, collecting health data via devices, implementing AI health coaches to answer questions and help patients follow their care plans, and predicting health risks using AI. They also hope to personalize patient care using connected device monitoring, offering multiple communication channels, using technology to personalize care plans and messages.
Health insurers will use AI to counter the use by providers of AI-powered coding and billing, which they say has increased medical cost and thus decreased their profit. According to Centene’s CFO, “It does seem like hospitals have gotten better organized around the application of AI for coding than payers. But we’re going to catch up to that.”
OpenAI denies several viral social media posts claiming that ChatGPT has been disabled from providing health advice. However, the company says that its updated terms of service advise that the chatbot is not a substitute for professional advice and it will no longer provide a diagnosis or patient-specific treatment plan, reportedly due to legal and regulatory exposure.
Hancock Health will use AI-driven robotic automation from Arrive AI to deliver lab specimens, a project that also includes drone-based transport for offsite deliveries.
Mayo Clinic announces Mayo Clinic Platform_Insights, which gives healthcare organizations access to its AI-driven clinical and operational expertise for digital solutions implementation. Mayo didn’t specify which modules or problem areas it will address or provide details about selling its services.
Healthcare AI agent vendor Hippocratic AI announces $126 million in Series C funding at a valuation of $3.5 billion. The company plans to use some of the proceeds to pursue mergers and acquisitions. It offers AI agents that handle non-diagnostic patient-facing tasks such as medication reminders and screening outreach.
For-profit urgent care chain Med First finds that AI-coded visits yield 6% more revenue than when physician codes visits themselves.
Tala Health, which develops AI agents to support clinicians and to address administrative burden, raises $100 million in financing.
Tulio Health Technologies launches CareCapture, an app that generates AI summaries of visits that patients can share to improve recall, adherence, and confidence.
Northwell Health researchers report that AI analysis of continuous wearable data from non-ICU inpatients accurately predicted patient deterioration an average of 17 hours in advance.
OpenAI recognizes pharma and life sciences marketing firm Doceree for using 10 billion AI tokens, making it one of the most advanced users of AI technology.
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Peter Bonis, MD is chief medical officer of Wolters Kluwer Health and an adjunct professor of medicine at Tufts University School of Medicine.
Tell me about yourself and the company.
I’m a gastroenterologist. I was at Yale on my first faculty job when I was recruited to join UpToDate as a startup. I joined the company, and along with many other capable people, I was able to lead it to grow, scale, and become a very important information resource that is used by healthcare professionals around the world.
Wolters Kluwer acquired UpToDate in 2008. We became part of a portfolio of information services across different verticals. Those verticals include health, tax and accounting, finance and corporate compliance, legal and regulatory, and corporate performance and ESG.
What are the advantages of presenting clinician-authored or clinician-supervised content at the point of care rather than using the literature search engine approach of some of your competitors?
Let’s frame the issue. Patients expect their doctors to give them the best possible advice. It’s a covenant that doctors would be seeking to counsel their patients with the best possible information.
As it turns out, clinicians have regular questions. When they get answers to those questions, they in fact change decisions about 30% of the time. As readers are out there doing the thought experiment of being with their clinician, imagine that they would change their plan if they had a particular piece of information. Those are the stakes.
We decided to address that information need, which has been well documented, by recruiting a faculty of the best people in the world who are clinically active and who are contributing to the body of knowledge in the area that they are writing about.
We framed the approach by understanding the types of questions at an extremely granular level, having an evidentiary way to look at the body of evidence, make that transparent, rate the level as a recommendation so that it’s highly transparent, and infuse into that the wisdom of these people who are some of the most deeply experienced clinicians in the world.
Human curation not only can summarize the body of evidence, but also can add to that the clinical wisdom and experience of considering factors that are important, such as patients’ values and preferences, to issue recommendations that are granular enough to be used at, or near, the point of care.
Doing that purely as a matter of information retrieval, even with advanced technology, is complicated. The expectation is that that technology can ingest all of that material, present it, prioritize it, and consider all of those factors that I just mentioned to make that experience transparent for both clinicians, and ultimately the patients that they’re serving.
Clinical decision support in its early days pushed guidance indiscriminately on physicians, with the assumption that they should digest it all and also to avoid malpractice issues from not offering complete advice. How do AI-focused tools address that, and could AI itself tailor the content to what an individual physician sees and how they react to the information, such as measuring overrides?
That is the frontier and the challenge, and indeed it’s the opportunity. We have plenty of opportunities to inject knowledge at or near the point of care, both for matters that might be more operationally focused, but also in this high-stakes domain of clinical care. Doing that well can improve care, remove friction, and help to ensure that every patient gets the best possible care, no matter who they are seeing and where they are being seen.
Doing that well is extremely challenging. It requires an enormous commitment to be sure that the experience is as accurate and usable as possible. And where feasible, to include information that is relevant to specific patients and make that experience transparent enough so that the clinician who is ultimately making those decisions can feel confident in the accuracy of that decision, or at least to be sure that they can serve as an interpreter when applying it to the patient in front of them.
To do this well, particularly in this area of decision support, requires a enormous commitment. You have to be sure that all of the different components of that which can break down are done as well as they possibly can be, and to provide an experience to clinicians that is as transparent and as effective as possible.
The business model of massively funded OpenEvidence appears to be running drug company ads that are targeted to the retrieved medical information of the patient. Will clinicians see the ad-supported model as a conflict of interest?
We focus on what we do and have always done well. We have been entirely supported through subscriptions. We have extremely strict policies related to conflicts of interest, particularly among our internal staff, but also all of our 7,500 external contributors, the external faculty and peer reviewers who contribute to UpToDate. We have found that important for maintaining integrity, increasing transparency, reducing bias, and ensuring that our sole purpose is to deliver care recommendations that are clear, unbiased, and free of any commercial taint.
Whether that can be done with a different business model remains to be determined. Ultimately, the market will let us know where the cracks are in that type of a model.
We will continue to do what we do and do well, which is to have a commitment to deliver an effective and easy-to-use experience, focusing on making it easy to do the right thing wherever frontline healthcare professionals are working in their EHR in an enterprise environment or on their mobile devices, Making that experience as free from bias as possible to ensure safety to the best of our capabilities. Providing transparency so that the entire experience is grounded in information that has been curated by humans, and in fact some of the most experienced clinicians in the world.
Will standards of care change as enterprise-associated physicians are provided access to sophisticated knowledge tools while others are financially forced to do without or to use free resources such as ChatGPT?
That’s an excellent point. It really comes down to the matter of how widely governance can be established across healthcare enterprises and small institutions as well. Obviously the governance involved in advanced technology such as AI requires a multidisciplinary approach. It’s not clear that that is going to be available widely for all of the different types of institutions that could take advantage of these technologies.
I do think there is a potential for creating a digital divide, or at least to have some institutions which have governance processes in place and others which may be relying on third parties such as their electronic medical record systems to do that governance process for them.
It ultimately comes down to the safety and effectiveness of the information services, particularly in the high-stakes domain of clinical decision support. For an institution that employs doctors, it’s not just the doctors, but it’s the institution itself that has risk involved, along with the potential benefits of helping to achieve high quality, consistent, and safe care. Having the right information available is certainly a fundamental piece of that equation.
Everybody cites the supposed fact that it takes 17 years to incorporate research findings into frontline care. Will that go away as point-of-care tools can put fresh information right on the screen of the person who is making a clinical decision?
It’s interesting you mention that. The 17-year statement has been cited often, to the point where I decided to hunt down one day the original source of that. In fact, there is documentation, but it’s much more nuanced than that. And in fact, it is not 17 years.
A lot of the adoption of new technologies and new approaches is related not just to having the information available, but also other factors, such as financial incentives, convenience, and superiority over alternatives. But there is a process of information diffusion.
UpToDate since its origins has done very well to accelerate that process. We have, for many years, showcased some of the newer concepts in a specific feature within UpToDate called Practice Changing Updates. It describes what is new to ensure that our subscribers have an efficient way to know when practice has changed because of new studies, new guidelines, or simply new knowledge that has accrued.
Now with more tools available at or near the point of care, including Gen AI, that process will continue. Ideally, as new technologies evolve and new knowledge evolves, we as a system will have an easier time at implementing them for the right patients.
The physician who is making decisions from the EHR may be presented with patient summaries or suggestions, information they already know but might miss, and new information that they are seeing for the first time. How do you present that without overloading them data they don’t need?
It’s an excellent point. Doctors are overloaded, and that fact is critical to consider.
Studies have looked at the number of tasks that clinicians have to perform to fulfill all of the requirements that are expected of them. Primary care, for example, would have to have about 26.7 hours per day to complete all the tasks that are required. That is impossible to achieve, obviously, so there’s always a matter of triage. Designing systems that do not produce a cognitive overload is a critical part of the overall design process, and also the approaches of who should be doing what. It doesn’t always have to be clinician facing.
The potential for overloading clinicians is absolutely there. Many organizations are seeking to have that mindshare and to inject knowledge in front of clinicians, and all of it can’t be done. It has to be prioritized and it has to be effective. How that will look is still a work in progress. There are many efforts to do this using advanced technologies, but there’s also a long track record of what works and what doesn’t work.
I’m optimistic that we can do better and that these advanced technologies will have an important role, but the devil is in the details. How will this work within workflow systems? What will the interaction look like with the data that are available within the clinical record, and perhaps even from other sources, to create an experience that helps frontline providers and their patients? That will be the journey that we’re on.
If I can digress for a moment, what is happening to the patients in all of this? All of what we are talking about is taking place in the background, when there is an enormous erosion of trust in healthcare services and healthcare professionals taking place in the backdrop. Patients are increasingly fed up. They are looking for alternatives. The healthcare system is increasingly unaffordable, and it delivers variable quality of care depending on where you are, your level of insurance, and other factors as well.
In more recent surveys this year, 15% of consumers don’t trust their doctors, which is up from 7% in 2023. Only 24% believe that their healthcare systems are focused on caring for patients, down from 77% in 2020. Instead, about three-quarters believe their hospitals are mostly focused on making money.
This process of busyness and the business of medicine is having a fundamental effect, not only on clinician burnout and the actual care delivery, but in a very fundamental way around trust and the experience that patients are having. Ideally, technology will help this problem, both for frontline providers and for patients who are seeking to have a better, more affordable experience.
We are in that potentially awkward phase where some physicians aren’t interested in technology for technology’s sake, but digital natives are coming out of medical school who can’t wait to do everything electronically. How will that change the way that physicians are educated and then trained?
There has already been an organic adoption of technologies, particularly by younger clinicians and those who are trainees. That has been going on for a very long time. It’s really no different that an adoption cycle occurring with Gen AI as well. Although it’s not uniform, clinicians of all ages and career statuses are facile at adopting technologies for it.
But I do think it will change education in many ways and we’re on that journey as well. One is where AI fits into traditional education and the awarding of continuing medical education credits. Is an AI experience and AI-generated content sufficient and trustworthy, for example, to award continuing education or CME credits?
For students, can you adapt these technologies to support a more effective learning journey and a lifelong learning journey? Certainly AI has been applied for adaptive learning. We at Wolters Kluwer have had a lot of experience in this area, and there are opportunities there.
There’s also training around healthcare professionals being an effective consumer of information services. And particularly now, to understand the limitations of Gen AI and how its convincing and compelling answers can make us falsely believe that they are accurate when they clearly need more interrogation.
A final point is that there is an emerging literature about the degradation of learning from overreliance on Gen AI tools. There is some empirical data that reliance on Gen AI tools might lead to a decreased ability to retain and then to apply that knowledge in other settings. That’s a fundamental pedagogical change. Where this comes out and how educators will approach all this remains to be determined.
For the moment, clinicians at all levels, including trainees, are adopting Gen AI tools. It’s important that the tools that they are adopting to lead to their training and to patient care will be effective, safe, and reliable over an extended period of time.
What about AI governance?
Governance is important. It is tempting to use tools that are expedient. In fact, they are so compelling that there’s a tradeoff that I think clinicians are willing to take around expediency when they haven’t really taken a sharp look at what’s being traded off for accuracy, reliability, and some of the other dimensions of challenges related to the core technology.
The word that I’d like to get out is the emphasis on adequate governance. That can be by a third party, such as the electronic medical record vendor who is forwarding and embedding these tools, or the governance committees themselves at institutions. They need to be sure that all the tools that they are onboarding that are provider-facing, or that take advantage of advanced technologies, are properly vetted, scrutinized against important benchmarks, and transparent. If there are deficiencies, you have the tools necessary to understand those deficiencies over time in domains like we operate such as decision support, where a right and wrong answer to an untrained eye or even to a trained eye can look equally good.
You need a gold standard to be sure that each answer is complete, accurate, and contemporary. That’s hard to do, but nonetheless, that’s the work that needs to be done to be sure that we’re helping all the healthcare professionals live up to their covenant and deliver the best possible care for their patients.
How do you choose a company strategy when AI and other technologies change literally every day?
Across Wolters Kluwer, we have a lot of experience with adopting advanced technologies. Across our verticals, we have already released more than 20 Gen AI related products and services. We are reinvesting constantly into advanced technologies and innovation, including AI, SaaS, blockchain, and other emerging technologies.
In the area of clinical decision support, such as what UpToDate provides, we have to really live up to our own standards in this high-stakes domain. There’s an evolving regulatory framework, but we understand our North Star. We understand in constructing this content that we are part of a medical community. We adhere to those standards. We have 55 physicians who work for UpToDate as deputy editors. Many of them are still in practice, mainly in academic medical centers. So the culture is one of patient safety, of seriousness, of understanding that there is a live patient somewhere behind all of our computer screens.
We have taken our time, as we have looked at the advances and particularly in Gen AI and how they can be applied, so that we adhere to our own standards and the standards that have been expected for our more than 3 million users out there. That means very, very careful product development and extensive testing. We’ve had a lot of innovation around ways to ensure reliability, accuracy, and validity, including not having the known pitfalls of Gen AI solutions like the degradation of context.
These things are very important. Generic Gen AI tools, for example, may recommend drugs that can be unsafe because they don’t ask contextual questions such as, is the patient pregnant? We have found examples of generic Gen AI tools that recommend drugs that are potentially perfectly suitable for the condition, but not if the patient is pregnant or they could be harmful to the fetus.
There have been many examples like that, so we have to understand the limitations of the technology and understand where the technology is going. We grounded it in this database that we have built over 30 years, which is not only summarizing the evidence, but infusing it with the clinical wisdom of deep experts drawn from a faculty around the world.
It’s our own commitment, our own standards, that are deferential to what is expected of us from our customers and the responsibility to take our time to test, release slowly, develop feedback mechanisms, and ground exclusively in UpToDate not the chaos of the internet, and in my view, create one of the most effective Gen AI solutions for decision support that currently exists.
Virtual primary care provider LifeMD sells its majority ownership of WorkSimpli Software for $22 million in cash plus performance incentives.
AI clinic employee management platform vendor Planbase announces its launch and $2.1 million in funding.
Mayo Clinic announces Mayo Clinic Platform_Insights, which gives healthcare organizations access to its AI-driven clinical and operational expertise for digital solutions implementation.
Healthcare AI agent vendor Hippocratic AI announces $126 million in Series C funding, bringing its total raised to $404 million at a valuation of $3.5 billion.
The company, which launched in 2023, will use the investment to globally scale its software and pursue mergers and acquisitions.
From Rude Boy: “Re: Wellsoft. After CareCloud’s acquisition of Medsphere’s assets, they declined to offer positions to key Wellsoft staff, which will effectively sunset the Wellsoft product. Whether this is CareCloud’s intent is TBD.” Unverified. Medsphere acquired the ED EHR vendor Wellsoft in early 2019, also bringing on founder and CEO John Santmann, MD as CMIO. CareCloud closed its acquisition of Medsphere in August 2025.
From AzDave: “Re: Clinisys. Laying off as we speak!” Unverified. But honestly, are there any health tech companies that aren’t laying people off? The best you can hope for is that they hold off until after New Year’s, though I can’t remember a year when at least one cluelessly desperate outfit decided that it wasn’t beneath them to ruin the holidays for its allegedly valued associates and their shocked families.
My aged car has a CarPlay-capable touch-screen entertainment system that works with my phone only if it is connected via a standard Lightning-to-USB cable. The phone then maddeningly disconnects at the worst possible navigational moments with the slightest jostling in its drink holder home, which probably means that either the port or the car unit itself is flaky. Enter this $17 dongle that takes about 30 seconds one time to pair with the phone via Bluetooth, after which the CarPlay panel comes up every time the car is started, the phone can remain pocketed, the cable can be retired, and I don’t forget to repocket the phone from the aforesaid drink holder upon egress. The gadget might fall just shy of being a change-your-life solution, but it’s close enough for $17.
None scheduled soon. Contact Lorre to have your resource listed.
Healthcare consulting firm Canopii Collaborative acquires Anchor Healthcare Consultants. Anchor co-founder and CEO Joe Galea will become principal of Canopii’s provider solutions segment.
Popai Health, which offers AI-powered care coordination call technology, announces $11 million in new funding.
Risk adjustment and clinical quality solutions vendor Vatica Health acquires Cozeva, which offers value-based care enablement software. Both companies are #1 rated in Best in KLAS in their respective categories.
Remote robotic surgery company Sovato closes a Series B funding round that increases its total raised to $41 million.
Virtual primary care provider LifeMD sells its majority ownership of WorkSimpli Software for $22 million in cash plus performance incentives. LifeMD paid $1.25 million for its stake in the PDF and signing solutions vendor starting in 2018.
AI clinic employee management platform vendor Planbase announces its launch and $2.1 million in funding.
HealthStream announces Q3 results: revenue up 4.6%, EPS $0.20 versus $0.19, beating expectations for both.
Veradigm names Tehsin Syed (AWS) chief product and technology officer.
Netsmart launches an AI-powered clinical coding solution for post-acute and human services providers.
Intelerad will deliver a cloud-native medical infrastructure that uses Amazon Web Services HealthImaging. The AWS-hosted system will consolidate PACS, VNA, and image sharing workflows into a single back-end system.
Mayo Clinic announces Mayo Clinic Platform_Insights, which gives healthcare organizations access to its AI-driven clinical and operational expertise for digital solutions implementation.
Athenahealth introduces an AI-native EHR clinical encounter for AthenaOne that includes an ambient scribe and a clinical co-pilot.
Orlando Health’s South Lake Hospital launches a wearables pilot program for COPD patients using devices and software from B-Secur, Whoop, and Sensr.
University Medical Center (NV) opens an Online Care Connection Center to help patients access virtual care in the rural area of Laughlin.
MaineHealth Patient Financial Services mistakenly sends letters to 531 living patients announcing their deaths and offering their next of kin instructions on how to settle accounts. The health system has attributed the correspondence to a software malfunction.
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