LLM-Generated Medical Summaries During Hospitalization to Improve Patient Activation in High-Risk Pregnancies
Key facts
- Who runs it
- Sheba Medical Center
- Where
- Israel1 site in 1 countryChoose a country to see its sites
- Trial code
- Status
- Not yet recruiting
- People taking part
- 200 people, planned
- Started
- 1 Oct 2026
- Expected to end
- 23 Jul 2028
- Type of study
- Interventional, 2 groupsOne group gets no study treatment, for comparison.
- Treatments tested
- LLM-Generated Medical Summaries
- Record updated
- 16 September 2026
Who can take part
- Sex
- Women only
- Healthy volunteers
- Cannot take part
The registry criteria, word for word
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Who can take part
- Admitted to the antepartum high-risk department at Sheba Medical Center
- Able to provide written informed consent
- Able to read and understand Hebrew, English, or Arabic
Who cannot take part
- Expected hospitalization of less than 3 days
This trial has no sites in United States.
It has sites in one country. Choose a country to see its sites.
About the trial
What the trial wants to find out
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:
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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).
The 2 groups in the trial
- LLM-Generated Medical SummariesTreatment being tested
Participants receive periodic patient-facing written medical summaries generated by a large language model (LLM) using a secure, privacy-protected AI environment at Sheba Medical Center. This is an informational intervention and does not involve a drug, medical device, or medical procedure. Each summary is reviewed by a physician for medical accuracy before delivery. Summaries are generated every 3-5 days, beginning on days 3-5 of hospitalization, with a maximum of 3 summaries per participant.
- Standard CareNo study treatment, for comparison
Participants receive standard care, which does not include LLM-generated medical summaries.
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorData and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- The Effect of Large Language Model-Generated Medical Summaries on Patient Activation During Antepartum Hospitalization: A Randomized Controlled Trial
- Record updated
- 16 September 2026