AI in clinical documentation: Who is liable for medical errors?
The attending scrolls through the chart before morning rounds. The progress note is polished. The assessment is structured. The differential is surprisingly thorough. A predictive model flags the patient as high risk for deterioration within 24 hours. He did not write most of it.
An AI assistant drafted the note. A risk algorithm generated the alert. A decision-support tool suggested broadening the workup. He reviewed it. He agreed with most of …
AI in clinical documentation: Who is liable for medical errors?















