What Happens When AI Summarizes a Mental Health Record?
Questions about compression, uncertainty, and accountability in automated clinical documentation.
Automated documentation turns complex encounters into summaries that can move efficiently through clinical and administrative workflows. Summarization necessarily involves selection, emphasis, and omission.
The research asks what these systems preserve, how editorial choices remain traceable, and what meaningful correction would require for the people whose words become part of the record.