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Augmenting Clinical Workflow With a Structured Chatbot for Patient History Collection and Diagnostic Support

Study acronym: CHAT-HX
StatusNot Yet Recruiting
PhaseNot specified
Started
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Record History

  1. Study description revised
  2. 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  • Stopped: an ongoing trial was terminated, suspended or withdrawn.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.
Doctors spend much of each visit collecting the patient's medical history, and incomplete histories can delay diagnosis. This study tests an AI chatbot that interviews patients before their appointment and produces a structured summary of their history for the doctor. Adult patients at the first study site, a university gynecology outpatient clinic in Germany, answer the chatbot's questions on a tablet before the doctor visit. The doctor then takes the history and examines the patient as usual, without seeing the chatbot's output. Only after the doctor has finished planning care does the doctor review the chatbot's summary and rate its usefulness and accuracy. The chatbot does not change patient care. Patients also rate the ease of use and acceptability of the chatbot. The investigators will report how useful doctors find the summaries, how complete and correct the summaries are, and how patients experience the tool.
Trial Details
NCT Number NCT07860762
Lead Sponsor Massachusetts General Hospital
Collaborators: University of Leipzig
Conditions Medical History Taking, Artificial Intelligence in Clinical Workflow, Outpatient Clinical Encounter
Enrollment 100 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov