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

NYU Langone Health

Status: Completed

Conditions: Hospital Discharge Summary Understanding

Treatments: Behavioral: Standard of Care Discharge Instructions; Behavioral: AI-Generated Discharge Instructions

Study type: Interventional

Funder types: Other

Identifiers

NCT06711458

23-01544

Details and patient eligibility

About

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.

Enrollment: 61 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Admitted to Inpatient Medicine unit at NYULH
• Able to read and understand English
• Willing and able to consent to this research

Exclusion criteria

• Inpatient Hospice
• Discharged on home hospice

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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61 participants in 2 patient groups

Generative AI Discharge Instructions

Experimental group

Description:

At the time of discharge, patients will receive patient-friendly discharge instructions generated by GPT-4, an advanced natural language processing model, with the aim of enhancing patient readability and understandability in the discharge information.

Treatment:

Behavioral: AI-Generated Discharge Instructions

Standard of Care Discharge Instructions

Active Comparator group

Description:

At the time of discharge, patients will receive standard discharge instructions (i.e., not generated by GPT-4).

Treatment:

Behavioral: Standard of Care Discharge Instructions