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OpenTrials
Completed

NCT Number: NCT06711458

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

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.

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Key information

Conditions

Hospital Discharge Summary Understanding

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

NYU Langone Health

New York, 10016, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

AI-Generated Discharge Instructions

Behavioral

Patient-friendly hospital discharge instructions generated by GPT-4, an advanced natural language processing model.

Standard of Care Discharge Instructions

Behavioral

Standard hospital discharge instructions.

Primary outcomes

  1. Number of Summaries with Positive Outcome on Composite Measure of Readability and Understandability

    Time frame: Day 1 (At Discharge)

    This is a composite outcome measure. Readability of discharge summaries will be measured using the Flesch-Kincaid Grade Level assessment, which measures how challenging a text may be for readers. Scores on the Flesch-Kincaid assessment are rated as follows:

    0-3: Basic reading level, (kindergarten or elementary school) 3-6: Basic reading level, (elementary school ) 6-9: Average reading level, (middle school) 9-12: Average reading level, (high school) 11-18: Skilled readers.

    Understandability will be evaluated by the presence of simplified description of primary diagnosis and hospital intervention.

    Summaries with both 1) presence of simplified description of primary diagnosis and hospital intervention, and 2) a Flesch-Kincaid grade level greater than or equal to 6 and less than 8, will be considered to have a "positive outcome."

Secondary outcomes

  1. Changes made to AI-Generated Content

    Time frame: Day 1 (At Discharge)

    Changes made to content will be assessed using edit distance.

  2. AI-Generated Content Perception Survey: Safety

    Time frame: Day 1 (At Discharge)

    Patients will be given a survey in which they are asked whether they feel safe with the discharge instructions they were provided. The total score is the number of participants who respond "Yes, definitely" or "Yes, somewhat" to the question.

  3. AI-Generated Content Perception Survey: Understandability

    Time frame: Day 1 (At Discharge)

    Patients will be given a survey in which they are asked whether the instructions were easy to understand. The total score is the number of participants who respond "Yes, definitely" or "Yes, somewhat" to the question.

  4. AI-Generated Content Perception Survey: Empathy

    Time frame: Day 1 (At Discharge)

    Patients will be given a survey in which they are asked whether the instructions were written in an empathetic manner. The total score is the number of participants who respond "Yes, definitely" or "Yes, somewhat" to the question.

Sponsors and collaborators

Lead sponsor

NYU Langone Health

Other

Registry information

Official study title

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

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Dec 2, 2024
Registry last updated
Jun 6, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.