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Health care executive Sujay Jadhav discusses his article “How AI is revolutionizing health care through real-world data.” Sujay explains how artificial intelligence tools like machine learning and natural language processing are turning …
Imagine your hospital’s entire IT operation grinding to a halt because of a snowstorm, cut fiber lines, or unstable internet connectivity. This is not a worst-case scenario for many rural health care providers; it is a regular reality. And it highlights just how fragile the digital infrastructure is in many parts of our country.
Across rural America, hospitals are losing physicians and fighting to stay open while serving communities …
At the risk of sounding out of the times, I think back to how simple education was back in the day: attend lectures, take notes, read books (gasp), do any relevant flashcards or question sets, and repeat. Indeed, this formula is a functional strategy for many prior generations of doctors. For my own medical journey, now fifteen years in as an otolaryngology resident, this simple strategy has worked well enough.
The …
Introduction: a double-edged disruptor
Artificial intelligence (AI) has quickly insinuated itself and is transforming nearly every corner of modern life. Health care is no exception. With the rise of advanced chatbots, symptom checkers, and health-focused algorithms, patients now have 24/7 access to vast medical knowledge at their fingertips in seconds. The excitement is understandable: AI can demystify medical “doctor-speak” or jargon, suggest possible diagnoses and treatment options, and empower patients to …
Introduction: a double-edged disruptor
Artificial intelligence (AI) has quickly insinuated itself and is transforming nearly every corner of modern life. Health care is no exception. With the rise of advanced chatbots, symptom checkers, and health-focused algorithms, patients now have 24/7 access to vast medical knowledge at their fingertips in seconds. The excitement is understandable: AI can demystify medical “doctor-speak” or jargon, suggest possible diagnoses and treatment options, and empower patients to …
I love technology. I love the health care AI I use every week including Viz.ai and OpenEvidence and Glass Health. I am generally a tech optimist. And even as cries of overhype on artificial intelligence start wading into the public discourse, I truly believe that AI will as fundamentally alter society and health care as the internet or the mobile phone.
But, I am convinced the whole industry is doing AI …
Before venturing into medicine, I was focused on aviation, training as a pilot at age 15. To this day, I can still recite every step of the engine-failure sequence from memory. Pilots are trained this way for a reason: They spend hours in simulators practicing under duress, so that when something goes wrong in the real world, they respond instinctively. By the time they are in the cockpit with passengers …
The night shift was unusually calm. Mr. T, a 74-year-old admitted for pneumonia, had completed his evening antibiotics and was resting quietly. His blood pressure, heart rate, temperature, and oxygen saturation were all within normal limits. The nurse’s 2 a.m. note was brief but telling: “Less talkative tonight,” “Needed encouragement to walk to the bathroom,” “Left most of his dinner untouched.”
By morning, Mr. T was febrile, hypotensive, and confused. Within …
Dara closes one eye, then the other. “What the hell?” she thinks. The vision in one eye is noticeably darker and worse than in the other eye. She exits the dark room, where she had been coding a new website for a client, and heads to the bathroom. She looks at herself in the mirror. Nothing seemed wrong with her eyes. Nothing hurts, well, maybe a slight headache, but she …
I still remember the day the shiny new EHR went live. We were promised instant access to every lab, perfect legibility, and (my favorite buzzphrase) “more time for patient care.” What arrived instead was a blinking cursor waiting for someone to type every blood-pressure reading, family-history nuance, and treatment plan. That “someone” was often the physician. Handwritten scrawl, once dashed off in seconds (illegible but efficient), was replaced by after-hours …
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Health care executive Max Rollwage discusses his article “The promise and perils of AI in health care: Why we need better testing standards.” Max highlights the risks of relying on AI systems …
For years, preventive medicine has centered on screenings, routine checkups, and occasional lifestyle interventions. Now, artificial intelligence is transforming that approach. It offers the potential to shift from reactive care to truly proactive, preventive health care. With machine learning models capable of analyzing vast datasets, from electronic health records and genomics to neighborhood-level social determinants of health, AI is enabling us to predict disease before symptoms appear. This paves the …
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Health care executive Shelli Pavone discusses her article “Why retail pharmacies are the future of diverse clinical trials,” highlighting the urgent need to improve representation in clinical research. Shelli explains how barriers …
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Over the past couple of years, advanced technological development, adoption, and implementation have grown exponentially across industries, including health care. What started with the adoption of advanced electronic health records (EHRs) — 96 percent of hospitals and 88 percent of physicians have adopted EHRs within the last decade — is now developing into the rapid growth of AI to support administrative tasks and data analytics. A 2024 survey found …
When I started medical school, I imagined long nights memorizing anatomy, shadowing physicians, and, eventually, walking hospital hallways in a white coat while trying to solve the intricate puzzles that patients carry in their bodies.
What I didn’t expect was that some of the most important lessons wouldn’t come from a professor or a textbook but from conversations about algorithms, data, and machines that learn.
Artificial intelligence felt distant at first, something …
We tell ourselves documentation is for patient safety. For continuity. For protection. But let’s be honest. It’s for billing. And once you see that clearly, it is hard to unsee.
In training, I was taught that the note reflects the thinking of the physician. That it should tell the story of the patient and the rationale for each decision. But in practice, it does not. It is a tool for revenue …
Health care is in the middle of a technological reckoning. AI and IT innovations promise efficiency, predictive analytics, and system-wide transformation. Yet inside hospitals, clinics, and virtual care platforms, the psychological fallout tells a different story, one that leadership must reckon with before the cost becomes irreversible.
The silent resistance: Psychological transition vs. technical adoption
Most health care executives measure success by how fast they implement new systems. But psychological readiness is …
We’ve all seen the hype.
AI will revolutionize health care. It will cut documentation time. Improve diagnoses. Save lives. Maybe even replace doctors.
But here’s what I know after 11 years as a hospitalist: Hype without evidence is dangerous. And AI—especially in medicine—isn’t just software. It’s treatment.
If we’re going to let AI influence life-or-death decisions, it needs to meet the same standard as any clinical intervention. That means rigorous trials, transparent design, …
I still remember the first time a physician told me they felt they had become a “data clerk with a stethoscope.”
And to my surprise, it wasn’t about too many clicks; it was about trust.
As a product manager building EHRs, RCM systems, practice management tools, remote monitoring, and AI scribes for over 12,000 health care professionals across the U.S., I’ve spent countless hours listening to clinicians, shadowing workflows, and observing quiet …
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Psychiatrist, internist, and addiction medicine specialist Muhamad Aly Rifai discusses his article, “In medicine and law, professions that society relies upon for accuracy.” He argues that labeling AI errors as “hallucinations” is …
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