In basketball, when a player is called for a questionable foul, he may shrug and say: “Ball don’t lie.”
It means the game has a truth of its own. Reality asserts itself. Emergency medicine, unfortunately, rarely works that way.
We once spent most of our time with patients. Now a substantial portion of every shift is spent interacting with a screen, not because we prefer it, but because the system has evolved …
At this point, numerous individuals have become engaged with ChatGPT. We’ve asked it to summarize a complex patient history and draft a discharge summary or explanation of a rare clinical concept. At first, it feels like magic. However, after several weeks, that same old feeling of frustration returns. Why does this still feel like more work?
The problem is not that technology is lacking. The problem is that ChatGPT was never …
For decades, medicine has spoken the language of hazard ratios, Kaplan-Meier curves, and median survival differences. We have become fluent in the grammar of precision oncology, genomic signatures, driver mutations, targeted therapeutics, and real-time disease monitoring. But there is one language we have not yet mastered: the language of the patient’s lived experience.
Personalized medicine cannot stop at matching the right drug to the right tumor. It must also include personalized …
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Orthopedic surgeon Kevin J. Campbell discusses his article “Health care is having its Yahoo moment.” Kevin explains how the current medical system is stuck in an obsolete pipeline model similar to early …
Laura, my department chair, is relentless in her enthusiasm for ambient AI systems in clinical care. Daily emails, weekly reminders, and even personal demonstrations; she’s convinced this is the future of medicine. Watching her, I can’t help but feel both admiration and unease. Her excitement is genuine, but I wonder if we’re rushing toward something we don’t fully understand.
And in many ways, she’s right. There’s a quiet joy in having …
Across society, AI is being adopted at an staggering rate. In medicine in particular, AI is helping physicians analyze diagnostic tests, calculate disease risk, summarize patient history, and formulate treatment plans. Health care administrators are using AI to manage and optimize workflows. Insurance companies report that AI is improving consumer service, expediting claims, and detecting fraud. AI-assisted medical research is discovering new drugs to combat Parkinson’s, …
The denial came back in less than three seconds.
A physician had just submitted a renewal for a medication her patient had taken for years, one that kept her stable, out of the hospital, and able to function. She expected the usual wait time. Maybe an hour. Maybe a day.
Instead, an automated message appeared: “Denied: automated appropriateness determination.”
No reviewer. No rationale. No path for appeal. Only an algorithm, silent, opaque, and …
When I trained in medicine, the learning path was predictable. Long nights of memorizing anatomy. Standing beside seasoned physicians in hospital hallways. Slowly absorbing the craft of diagnosis through repetition and proximity. It was an apprenticeship built on pattern recognition, intuition, and accumulated wisdom.
What I did not learn was how to practice medicine in a world increasingly shaped by artificial intelligence. That education came much later. It arrived quietly at …
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Health care executive Ronke Lawal discusses her article, “Digital mental health’s $20 billion blind spot.” Ronke explains how the booming digital mental health industry is systematically failing 40 percent of the U.S. …
Medicine thrives on structure. Protocols, guidelines, and standards safeguard patient outcomes and reduce error. Yet the same structure that preserves consistency can quietly suppress creativity.
For physicians who dream of improving systems, innovating within such rigid frameworks can feel like trying to work inside a box. But structure and creativity do not have to be opposites. Oftentimes, the struggle lies in how we spark creativity in a system built for safety.
The …
He spent his youth memorizing lungs. That was how he learned chest X-rays, not by chasing abnormalities, but by studying thousands of perfectly normal films until his eyes could sense when something was ever so slightly wrong. “If you don’t know normal,” he would tell residents, “you’ll never understand abnormal.”
He was a chest physician, not a radiologist, yet his skill with chest imaging became legendary. At Taipei Veterans General Hospital, …
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Health care executive Kimberly Smith discusses her article “Why clinicians must lead health care tech innovation.” Kimberly explains why clinicians, who are on the front lines of patient care, are in the …
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Cardiologist Saurabh Gupta discusses his article “Physicians must lead the vetting of AI.” In this episode, Saurabh explores how artificial intelligence is reshaping medicine and why its future depends on physician leadership, …
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Walking out of the cath lab one night after taking care of a patient with an acute myocardial infarction, a thought crossed my mind. In cardiology, we would never deploy a new device without vetting it. Before a stent ever touches a coronary artery, it undergoes bench testing, animal trials, and human studies to prove safety and efficacy. This process typically takes years, and in some cases, decades. Data points …
America’s mental health system is failing its seniors, caught in a perfect storm of: a rapidly growing population, a severe shortage of geriatric psychiatrists, and a Medicare model buckling under the weight of chronic, costly conditions. For millions of older adults living with anxiety, depression, or isolation, the system offers little or no treatment; often, the nearest provider is hours away, and waitlists stretch for months. …
As a physician, I know all too well what clinicians in the U.S. today are up against. We’re being asked to do a lot more with a lot less. We’re tasked with producing more complete and accurate clinical documentation, reviewing endless notes, coding our own charts, and improving patient flow, all while providing the best patient experience and ensuring quality scores are optimal. All in a day’s work, right?
Our hippocratic …
AI is rolling out in medicine faster than most of us can process. Ambient scribes documenting visits. Clinical decision support algorithms. Automated prior authorizations. The promises are compelling: reduced clerical burden, more face-time with patients, less burnout.
I wanted this. As a palliative care doctor and director of physician well-being at my institution, I’ve spent years watching colleagues drown in documentation and burn out from relentless task loads. When AI tools …
When I started medical school, I imagined long nights memorizing anatomy, shadowing physicians, and, eventually, walking hospital hallways in a white coat, 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 for …
To give you an idea of how rapidly AI adoption has occurred, I recently reviewed the minutes of a company leadership meeting from last year. The topic of AI was almost entirely absent, receiving only minimal discussion. Compare that activity to today, where we’ve developed dozens of applications that actively utilize some form of AI, and hold daily meetings where it is the sole topic of discussion.
If your organization’s experience …
Is it time for the Department of Veterans Affairs (VA) to fully embrace virtual care?
The VA has long been one of America’s great health care innovators. From pioneering electronic health records to building one of the first truly integrated care systems, the VA has often been decades ahead of the private sector.
But today, the system is straining. Nearly 94 percent of VA facilities face physician shortages, and 79 …
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