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A Pragmatic Trial of AI-Assisted Discharge Summary Generation

Study acronym: DRAFT-AI
StatusNot Yet Recruiting
PhaseNot applicable
Started
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Record History

  1. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
The goal of this study is to learn whether an artificial intelligence (AI) tool built into the electronic health record helps hospital physicians write discharge summaries. A discharge summary is the document that tells a patient's family doctor and other providers what happened during a hospital stay. The main questions this study aims to answer are: Does access to the AI tool reduce the time physicians spend writing discharge summaries? Does it change the quality of discharge summaries or how soon they are completed? How does it affect physician workload? Physicians will be randomly assigned to either have access to the AI tool or complete discharge summaries as they usually do. Physicians with access can choose whether to use the tool, and they review and edit any AI-generated text before it becomes part of the discharge summary.
Trial Details
NCT Number NCT07866001
Lead Sponsor Unity Health Toronto
Collaborators: University of California, San Diego
Conditions Inpatient Internal Medicine Patients, Patient Discharge, Documentation, Artificial Intelligence (AI), Electronic Health Records, Workload
Enrollment 80 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov