Tech

3 things AI in health care investing cannot evaluate

Tech

May 8, 2026

I built an AI-powered system that sources and scouts healthcare startup companies and generates structured investment memos on them in under ten minutes. It pulls data from public filings, clinical trial registries, patent databases, and competitive landscapes. It scores companies across multiple risk dimensions. It produces fifteen-section analyses that would take a human analyst days to assemble.

I use it constantly. And I would never let it make an investment decision.

I …

How ambient artificial intelligence can transform team-based care

Matt Sukomoto, MD

Tech

May 7, 2026

For years, the conversation around burnout has centered on physicians, and more recently, ambient artificial intelligence (AI) has been positioned as a solution to reduce after-hours charting and reclaim time from the electronic health record (EHR). But as these tools gain traction, a gap is becoming harder to ignore: Many are designed for a single user, even as care is delivered across teams and workflows that extend well beyond the …

EHR vendor evaluation should happen before the demo

GetPracticeHelp

Tech

May 4, 2026

Most EHR demos are built around the same set of features: mobile access, AI-assisted documentation, integrated billing, patient portal design, and telehealth. Those features matter, but they do not prove the system will work in a real clinic day.

The demo is a controlled environment. The vendor chooses the patient, the encounter, the documentation path, the billing example, and the person clicking through the screen. A clean demonstration can hide a …

The limits of large language models in clinical practice

Edward G. Rogoff and Alena Ivashenka, PhD

Tech

May 2, 2026

Artificial intelligence is no longer a distant concept in modern medicine. It is already entering clinical workflows through tools that draft patient notes, summarize charts, generate patient education materials, and assist with decision-making. At the center of this shift are large language models such as ChatGPT, Med-PaLM, and other health care-adapted systems. For clinicians, the most important question is not whether these tools are impressive. It is whether they understand …

Artificial intelligence in residency education and family medicine

Jyothi Ranga Patri, MD, MHA

Tech

April 30, 2026

I remember the first time a resident came to me with a clinical question she had already answered, using ChatGPT. She was not asking for confirmation. She wanted to know if the answer was right. That moment changed how I think about artificial intelligence in residency education. I am a family medicine physician and associate program director. For years, I have been building what we call the Junior Preceptorship model, …

Transforming nursing education with immersive technology

Kelly J. Dries, PhD, RN

Tech

April 28, 2026

Nursing education is at a breaking point. In classrooms and clinical sites across the country, faculty are stretched thin while students struggle to get the hands-on experiences that build confidence for day one of practice. The result is mounting pressure to expand access without sacrificing quality. Programs must graduate nurses who are technically competent and truly practice-ready, in a profession evolving faster than ever. Striking that balance with lectures, clinicals, …

4 questions to ask about enterprise AI drug dosing

Amanda Heidemann, MD

Tech

April 27, 2026

Artificial intelligence is reshaping how health care organizations support clinicians and, ultimately, how they care for patients. That transformation, however, is unfolding along two very different paths at the point of care.

In one model, adoption is clinician-driven. Tools are downloaded, tested, and incorporated into daily practice without formal enterprise involvement. This organic uptake often reflects real clinical need, especially in environments defined by time pressure and cognitive overload. But it …

Overcoming the fear of health care AI in data abstraction

Brandy Sue Greif, LPN

Tech

April 25, 2026

Technology can be intimidating, especially when you do not fully understand how it works. There is also a fear that technology will start taking over and people will lose their jobs. I was one of those people who feared technology, and I kept hearing how artificial intelligence (AI) would take over health care jobs and replace certain roles. I was dead-set against AI being used in health care because I …

The urgent need for AI mental health regulation after Tumbler Ridge

Sophie Nunnelley, JD

Tech

April 25, 2026

The community of Tumbler Ridge, B.C. is living through an unimaginable grief. As we mourn with them, we are right to ask what we can learn from this tragedy.

Much of the public conversation has focused on OpenAI: Why did the company not warn police when its systems flagged Jesse Van Rootselaar’s account for violent content months before the shooting? B.C. Premier Eby noted the company’s silence was “profoundly disturbing” …

Why accountability in medicine must guide health care AI

Ian Hu and Pao Hsuan Huang

Tech

April 24, 2026

Late at night, after basketball games or practices, with the physical exhaustion of the court still settling in, I often find myself staring at my laptop. I am watching how long it takes to complete something that has nothing to do with sports, or even actual patient care. It is documentation. Coding. Forms. Insurance language that seems designed less for clinical clarity than for mere survival within a bureaucratic system.

In …

AI medical misinformation fooled every major chatbot

P. Dileep Kumar, MD, MBA

Tech

April 20, 2026

Every major AI chatbot fell for bixonimania, a fake disease made up by a team from the University of Gothenburg in Sweden, led by researcher Almira Thunstrom. Dr. Thunstrom uploaded two fake studies about a made-up skin condition termed as bixonimania to a preprint server in early 2024. The papers described the disease as characterized by sore eyes and dark pigmentation around the eyes supposedly caused by blue light …

The shift from physician clinical intelligence to AI infrastructure

Eric Goldfarb

Tech

April 20, 2026

For most of modern medicine, clinical intelligence lived inside physicians. You trained it for more than a decade. Medical school. Residency. Fellowship for some. Then years of repetition. Pattern recognition built one patient at a time. Judgment sharpened by experience. It walked into the exam room with you. It left the hospital at night. It lived in your head. That arrangement is starting to change. Artificial intelligence is beginning to …

How artificial intelligence scales physician extension

Tod Stillson, MD

Tech

April 19, 2026

For more than 25 years, I built physician extension systems. In rural family medicine, if you want your clinical judgment to reach more patients than your two hands can touch in a single day, you build systems. You hire nurses who triage, educate, and even scribe. You bring on a medical assistant who keeps the workflow moving. You eventually collaborate with a nurse practitioner (NP) or physician assistant (PA) who …

Why physician-led AI adoption is essential for health care

Augusta Uwah, MD, MPH

Tech

April 19, 2026

A colleague recently reacted to the idea of physician-built AI with a kind of weary cynicism: AI glitches. All AI glitches. I understood what he meant. Many physicians have already lived through one wave of technology that promised efficiency and delivered frustration. We were told electronic medical records would improve care, streamline communication, and modernize medicine. In some ways, they did. But they also inserted screens into the exam room, …

How medical misinformation impacts doctor-patient trust

Kelly Dórea França

Tech

April 19, 2026

How does medical misinformation on social media reshape the trust between doctors and patients? As a medical student in my internship, I ask myself this question almost daily. In an era where a quick search or a viral post can feel more convincing than years of medical training, how do we rebuild the fragile bridge of trust between physicians and patients? And perhaps more importantly: How do we, as future …

Why physical books matter in a social media world

Richard A. Lawhern, PhD

Tech

April 18, 2026

My wife and I recently spent a few days on vacation at a South Carolina beach. We took time to stroll on the sand, take naps, kick back, and read. However, in the last-minute rush to pack for our trip, I managed to leave my Kindle at home. Thus, I began the mental journey that resulted in this article.

My Kindle has been one of the nicest gifts my younger daughter …

How artificial intelligence documentation hurts patients

Brian Hudes, MD

Tech

April 18, 2026

If you have spent any time with the current generation of artificial intelligence (AI)-assisted documentation tools, you have probably noticed something that is difficult to articulate but impossible to ignore. The notes they produce are correct, grammatically, structurally, and medically, and yet they feel wrong. They read like a summary written by someone who has read every clinical textbook ever published but has never stood at a bedside at 2 …

The hidden risks of AI documentation tools in clinical practice

Elizabeth Vainder, MD

Tech

April 18, 2026

Artificial intelligence has already entered the exam room. You may or may not have noticed. In my own practice, I sometimes use an ambient scribe during patient visits. Not for every encounter, but for some. When they work well, they can be incredibly helpful. The system listens to the conversation and generates a draft of the clinical note while the visit is still fresh. It allows me to focus on …

The ROI of ambient AI in health care and autonomous coding

Pat Williams

Tech

April 14, 2026

When ambient listening and generative AI first entered the clinical mainstream, the value proposition was simple: Reduce documentation burden and give clinicians their evenings back. That promise resonated. Burnout was rising. After-hours charting had become normalized. Health systems needed relief. And ambient documentation delivered.

But as deployments scaled from pilot projects to enterprise rollouts, the conversation matured. CFOs and revenue cycle leaders began asking a harder question: Beyond time savings, what …

Artificial intelligence is changing medical writing today

Arthur Lazarus, MD, MBA

Tech

April 14, 2026

The moment was small, almost trivial. I handed my daughter her polished curriculum vitae (CV), clear, structured, and professionally phrased. All the information had been distilled and reorganized from her resume. She looked at it for a second longer than expected, then asked a single question: “ChatGPT?” I said yes, and felt an unexpected flicker of shame. Not because I had done something wrong. Not because I had tried to …

Tech

Most Popular

Past Week

Past 6 Months

Recent Posts

Subscribe to KevinMD and never miss a story!

Most Popular

Past Week

Past 6 Months

Recent Posts