Drug Labels Were Written for Humans. AI Reads Them Differently.
FDA-approved drug labeling is one of the most carefully negotiated documents in modern medicine. Every word is litigated, every contraindication […]
FDA-approved drug labeling is one of the most carefully negotiated documents in modern medicine. Every word is litigated, every contraindication […]
A physician in Phoenix opens ChatGPT and types: “What’s the best GLP-1 for weight loss in a patient with type
A patient asks ChatGPT whether their antidepressant can help with chronic pain. Another asks Gemini if a GLP-1 drug will
A patient asks ChatGPT whether they can take Eliquis with ibuprofen. The model answers confidently. The answer is wrong. No
A patient with newly diagnosed Type 2 diabetes asks ChatGPT which medication her doctor is most likely to prescribe. The
When a patient asks ChatGPT whether they can take Ozempic with metformin, the answer they get is not pulled from
When a patient asks ChatGPT whether they can take semaglutide with metformin and gets a confident, partially wrong answer, four
Every day, millions of patients type questions about their prescriptions into ChatGPT, Gemini, Claude, and Perplexity. They ask whether Ozempic
There’s a question a patient on Ozempic typed into ChatGPT last year that she hadn’t mentioned to her endocrinologist in
At some point in the last eighteen months, the drug information environment crossed a threshold. Patients stopped asking Google first.
When a patient asks ChatGPT whether they can take Ozempic while on metformin, that answer — accurate or not —
For two decades, pharmaceutical commercial teams built their patient journey models around a predictable sequence: symptom onset, physician visit, diagnosis,