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臨床文書作成における LLM 支援と手作業による作成:時間と品質への影響

基本情報

NCT ID
NCT07187050
ステータス
完了
試験のフェーズ
該当なし
試験タイプ
介入
目標被験者数
21
治験依頼者名
Kyoto University, Graduate School of Medicine

概要

The goal of this clinical trial is to learn whether an LLM-assisted writing workflow can reduce the time to complete hospital discharge summaries and discharge referrals and maintain or improve document quality compared with writing from scratch by clinicians. The study used six simulated patient records (no real patient data). The main questions it aims to answer are: * Does the LLM-assisted writing workflow reduce the time needed to complete each document compared with manual writing? * Does the LLM-assisted writing workflow improve (or at least maintain) document quality compared with manual writing, as rated by blinded experts? Researchers will compare LLM-assisted versus manual writing to see if the LLM-assisted approach is faster and has equal or better quality. LLM-only drafts (unedited first drafts) will be evaluated as a separate third group to understand the baseline quality of LLM output without clinician edits. Participants will create two documents-a discharge summary and a discharge referral-for each of six simulated cases. Those assigned to CocktailAI \& Modification group will use an LLM assistant (called CocktailAI) to generate a first draft for each document and then review and edit it to finalize; those assigned to the control group will write each document from scratch without LLM assistance.

対象疾患

Clinician-in-the-loopClinical DocumentationLarge Language Model

介入

Template-Based LLM Assistant(OTHER)
Manual Writing(OTHER)

実施施設 (2)

Department of Ophthalmology and Visual Sciences Kyoto University Graduate School of Medicine 54 Shogoin, Kawahara, Sakyo

Kyoto, Japan

さっぽろ呼吸器内科クリニック

Kyoto, Japan