JMIR Publications releases trio of digital health reports on AI, drone meds, and China misinformation rules

JMIR Publications issued three feature articles in its JMIR News series that examine emerging issues in digital health.

Simon Spichak reports on a NYU Langone study showing that general‑purpose frontier AI models outperformed specialized medical language models such as OpenEvidence and UpToDate on benchmark questions. He notes the absence of data linking these tools to real‑world clinical outcomes, quoting the study: “Despite studies showing how well these products work on benchmarks, there is a lack of data linking them to real‑world clinical outcomes.”

Tim Bajarin analyses China’s new regulation that requires online platforms to verify users’ professional credentials before they can discuss expertise, treating misinformation as a systemic problem. He contrasts this with the United States’ approach, which focuses on content moderation.

A third article describes pilot programs that use drones to deliver prescription medications to underserved areas where pharmacies are scarce, highlighting a potential logistics solution for remote patients.