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 they can take Eliquis with ibuprofen. The model answers confidently. The answer is wrong. No
A patient asks ChatGPT whether their antidepressant can help with chronic pain. Another asks Gemini if a GLP-1 drug will
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
At some point in the last eighteen months, the drug information environment crossed a threshold. Patients stopped asking Google first.
There’s a question a patient on Ozempic typed into ChatGPT last year that she hadn’t mentioned to her endocrinologist in
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,