The Limits of Large Language Models in Clinical Practice
Large language models (LLMs) such as ChatGPT and Med‑PaLM are entering clinical workflows, primarily for drafting documentation and summarizing records. While they can generate fluent, plausible text, they lack true clinical reasoning, can hallucinate misinformation, and inherit biases from training data. The authors argue that LLMs should be confined to low‑risk support tasks with mandatory clinician oversight. Properly deployed, they may alleviate administrative burden but cannot replace physician judgment.
Artificial Intelligence in Residency Education and Family Medicine
A 2024 survey revealed that 75% of medical students have had no formal AI training, while two‑thirds of practicing physicians already use AI—a 78% jump from the prior year. Family medicine residency programs are now confronting how to embed AI...
4 Questions to Ask About Enterprise AI Drug Dosing
Artificial intelligence is entering the most sensitive clinical workflow—drug dosing—through two divergent paths. In clinician‑driven adoption, tools appear organically but often lack standardization and oversight, while enterprise‑level deployments embed AI within governed workflows, offering traceability and consistency. Health systems are...
The Urgent Need for AI Mental Health Regulation After Tumbler Ridge
The Tumbler Ridge shooting has highlighted a glaring gap in Canada’s oversight of AI‑driven mental‑health tools. While OpenAI faced criticism for not reporting flagged violent content, the core issue is the absence of clear regulations governing AI‑mediated emotional support. Canadians...
Why Accountability in Medicine Must Guide Health Care AI
Healthcare AI is exploding, with ambient scribes and large‑language‑model chatbots promising faster documentation and patient interaction. Yet the authors argue that accuracy alone is insufficient; without built‑in accountability, harmful errors become opaque. They call for a shift from generative AI...
AI Medical Misinformation Fooled Every Major Chatbot
Researchers at the University of Gothenburg fabricated a fake skin disease called bixonimania and posted two bogus preprints in early 2024. Major AI chatbots—including Microsoft Copilot, Google Gemini, Perplexity AI and OpenAI’s ChatGPT—mistook the fictitious condition for a real medical disorder and...
How Artificial Intelligence Scales Physician Extension
Dr. Tod Stillson argues that the traditional physician‑extension model—relying on nurses, NPs, and PAs—can no longer meet the growing demand for primary care, especially in rural areas. He proposes a physician‑governed artificial‑intelligence platform that codifies clinical reasoning, protocols, and escalation...
The ROI of Ambient AI in Health Care and Autonomous Coding
Ambient AI is moving beyond a digital scribe to reshape the entire note‑to‑bill continuum in health care. Early pilots showed 20‑40% reductions in documentation time, easing clinician burnout, but CFOs now demand measurable revenue impact. By feeding real‑time documentation into...
Artificial Intelligence Is Changing Medical Writing Today
Artificial intelligence is rapidly becoming a staple in medical writing, helping clinicians draft, edit, and synthesize research faster than ever. Yet many writers feel a lingering shame, treating AI assistance as a secret and even disguising their prose to appear...
Expert Witness Credibility Is Destroyed by AI Opinions
The article warns that using generative AI to draft expert‑witness opinions jeopardizes a clinician’s credibility and can trigger Daubert challenges, because AI lacks licensure and accountability. It distinguishes between AI as a production tool—prohibited—and AI as a training aid that...
Artificial General Intelligence and the Future of Surgery
The AI arms race sees hyperscalers and frontier labs committing over $600 billion to build AGI and advanced narrow AI, shifting focus from chatbots to autonomous, agentic systems. In healthcare, two competing paths emerge: a near‑term rollout of multi‑agent ANI tools...
Severe Note Bloat Is Fueling Dangerous Physician Burnout
Physician burnout is increasingly tied to electronic health record (EHR) note bloat and passive data design. Clinicians now spend roughly six hours in the EHR for every eight‑hour patient‑care shift, with nearly three hours devoted to documentation alone. Between 2009...
Why Clinical Listening Skills Outpace Artificial Intelligence
A new national survey by Littmann Stethoscopes shows that 92% of clinicians consider listening the first step in diagnosis, and nearly nine in ten have identified a critical condition solely through auscultation. However, 73% say time pressure and rising patient...
Understanding Generation 2 Patient Engagement Platforms
The article distinguishes two generations of patient engagement platforms. First‑generation tools deliver information but flood staff inboxes, requiring manual responses and new staffing roles. Second‑generation solutions embed AI‑driven protocols that answer routine questions automatically, leaving clinicians only to handle escalations....
Using Persuasive Technologies in Value-Based Health Care
Persuasive technologies are emerging as essential tools for value‑based health care, turning policy goals into daily patient actions. By providing feedback loops, personalized recommendations, and habit‑forming reminders, they improve medication adherence, chronic disease self‑management, and post‑surgical recovery. Remote monitoring and...