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

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.