Children's National Research Institute
The primary objective is to assess if an AI-generated plain language summary of an inpatient progress note can improve caregiver understanding of their child's hospitalization by measuring differences in Hospital Course Comprehension scores, based on their responses to a survey regarding their child's hospital course. Secondary objectives include exploring the caregiver's perspective on the use of AI in clinical care, as well as 7-day and 30-day readmission rates, 7-day and 30-day emergency department (ED) re-utilization rates, length of stay, and environmental impact measures.
This randomized controlled trial evaluates whether AI-generated plain-language summaries of inpatient progress notes improve caregiver understanding of a child's hospitalization. The intervention uses a Children's National HIPAA-compliant large language model hosted within the institution's Azure environment to generate caregiver-facing summaries from attending-signed inpatient progress notes. Eligible caregivers are randomized to receive either standard hospital communication alone or standard communication plus an attending-approved AI-generated care summary. Before distribution to caregive…
Inclusion Criteria: Caregiver of a patient 10 years and younger admitted to Children's National Hospital, whose preferred language is English Exclusion Criteria: * Caregivers of patients older than age 10 years * Caregivers of patients not admitted to the Hospital Medicine service * Caregivers of admitted patients whose preferred language is non-English * Patients whose care summaries are deemed inaccurate by their attending physician and not eligible for sharing with their caregiver.
Written AI-generated plain-language summary of the patient's hospital course, reviewed and approved by the attending physician and provided to the caregiver during the hospitalization.
Arctuva estimate
Verify or correct the compensation shown for this listing.