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Life sciences · Interventional Study
ClinicalTrials.gov · September 16, 2026
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Interventional Study.
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Registry record from ClinicalTrials.gov (NCT07823517). This is a study registration, not published results. Lead sponsor: Sheba Medical Center. Recruitment status: NOT_YET_RECRUITING. Phase: NA. Study type: INTERVENTIONAL. Enrollment: 200 participants (ESTIMATED). Conditions: High-risk Pregnancy, Hospitalization, Patient Activation, Artificial Intelligence (AI). Interventions: OTHER: LLM-Generated Medical Summaries. Primary outcome measures: Change in Patient Activation Measure Score , From baseline (pre-intervention) to post-intervention during hospitalization, approximately 1-8 weeks.; Number of LLM-Generated Medical Summaries Requiring Physician Modification or Rejection , Throughout hospitalization, approximately 1-8 weeks. Brief summary: The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care. The main questions it aims to answer are: Do AI-generated summaries increase participant activation (knowledge, skills, and confidence in managing their health)? How accurate are the AI-generated summaries, as assessed by physicians? Do AI-generated summaries affect depressive symptoms during hospitalization? Researchers will compare participants who receive periodic AI-generated summaries of their medical care with participants who receive standard care to determine whether the summaries improve patient activation during hospitalization. Participants will: Be randomly assigned to receive AI-generated medical summaries or standard care. Complete the Patient Activation Measure (PAM-13) at baseline before the intervention and again after the intervention. Complete the Edinburgh Postnatal Depression Scale (EPDS) at baseline and again after the intervention. Receive up to 3 summaries during their hospitalization (intervention group only).