Using Generative Artificial Intelligence (AI) to Create Patient-Friendly Discharge Summaries

Description

This will be an open-label, parallel-group, randomized trial. Patients will be randomized to review the patient-friendly discharge instructions at the time of discharge (intervention group) vs the standard of care. The intervention differs from the standard of care in that patients will be given additional medical documentation in the intervention group.

Conditions

Hospital Discharge Summary Understanding

Study Overview

Study Details

Study overview

This will be an open-label, parallel-group, randomized trial. Patients will be randomized to review the patient-friendly discharge instructions at the time of discharge (intervention group) vs the standard of care. The intervention differs from the standard of care in that patients will be given additional medical documentation in the intervention group.

Using Generative Artificial Intelligence to Transform Discharge Summaries Into Patient-Friendly Language and Format

Using Generative Artificial Intelligence (AI) to Create Patient-Friendly Discharge Summaries

Condition
Hospital Discharge Summary Understanding
Intervention / Treatment

-

Contacts and Locations

New York

NYU Langone Health, New York, New York, United States, 10016

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * Admitted to Inpatient Medicine unit at NYULH
  • * Able to read and understand English
  • * Willing and able to consent to this research
  • * Inpatient Hospice
  • * Discharged on home hospice

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

NYU Langone Health,

Jonah Zaretsky, PRINCIPAL_INVESTIGATOR, NYU Langone Health

Study Record Dates

2025-03