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Prospective Evaluation of AI Generated History of Present Illness Drafts in the Emergency Department
Sponsor: Yonsei University
Summary
This single-center prospective observational study evaluates whether an on-premise, large language model-based tool (EDnote) that generates a draft history of present illness (HPI) from real-time transcription of the patient-physician encounter produces documentation of higher quality than conventional physician-written HPI in the emergency department. The treating physician writes the conventional HPI blinded to the AI draft. Unedited AI-generated HPI drafts and conventional HPI are compared through blinded review by independent emergency physicians.
Official title: Prospective Evaluation of Artificial Intelligence-generated History of Present Illness Drafts in the Emergency Department
Key Details
Gender
All
Age Range
19 Years - Any
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2026-09-01
Completion Date
2026-12-31
Last Updated
2026-09-04
Healthy Volunteers
No
Interventions
EDnote HPI (AI-generated HPI draft)
On-premise large language model-based tool that transcribes the patient-physician encounter in real time and generates an unedited HPI draft. The treating physician is blindedto the AI HPI draft.
Conventional physician HPI
HPI written by the treating emergency physician according to usual practice, blinded to the EDnote-generated HPI draft.
Locations (1)
Yonsei University Severance Hospital
Seoul, Seoul City, South Korea