ClinicalTrials.gg
RecruitingNCT07831018Updated Sep 21, 2026

Impact of AI Care Summaries on Caregiver Comprehension

An interventional study of AI Care Summary in Health Literacy, Comprehension and Patient Satisfaction, sponsored by Children's National Research Institute. Recruiting at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-09-21.

Sponsored by Children's National Research Institute · Not applicable, Interventional, and Health services research

From the registry’s dates

  • Started May 2026; still recruiting 6 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
100
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

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 caregivers, attending physicians review generated summaries for clinical appropriateness and accuracy.

Caregiver understanding of the hospitalization is assessed using a structured survey administered during the hospitalization. Responses are compared with information documented in the medical record to evaluate comprehension. Additional exploratory analyses evaluate implementation outcomes, caregiver perceptions of AI-assisted communication, physician acceptance of generated summaries, healthcare utilization outcomes following hospitalization, and operational measures related to AI summary generation.

Statistical analyses will compare outcomes between randomized groups while controlling for relevant covariates when appropriate.

02

Conditions studied

  • Health Literacy
  • Comprehension
  • Patient Satisfaction

Keywords

  • plain language
  • health literacy
  • communication
03

In context

Patient Satisfaction

877 studies on the registry are indexed under Patient Satisfaction; 202 are open to participants now.

This study's planned enrollment of 100 is close to the median of 96 across 624 interventional studies indexed under Patient Satisfaction.

Browse Patient Satisfaction studies →

Lead sponsor

Children's National Research Institute is the lead sponsor of 127 studies on the registry; 47 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

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.
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
100 participants (estimated)

Study arms

  • No intervention
    Standard Hospital Communication

    Standard hospital communication

  • Experimental
    Standard Hospital Communication Plus AI Care Summary

    Attending-approved written AI Care Summary provided to caregiver

    Other: AI Care Summary

Interventions

  • OtherAI Care Summary

    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.

06

What researchers measure

Primary outcomes

  1. Hospital Course Comprehension Score

    Percentage of caregiver survey responses that align with information documented in the medical record (range 0%-100%; higher scores indicate greater caregiver understanding of the hospital course).

    Time frame: Within 24 hours after receipt of the AI care summary or completion of standard care communication, during the index hospitalization

Secondary outcomes

  1. LOS

    Length of stay

    Time frame: Throughout study duration, on average one year

  2. Readmission

    7-day and 30-day readmission rates: readmissions within 7 or 30 days of the index hospitalization, when related to problems addressed during the initial hospitalization.

    Time frame: During study duration, on average one year

  3. ED reutilization

    7-day and 30-day ED re-utilization rates: return visits to the emergency department within 7 or 30 days for complaints related to the initial hospitalization.

    Time frame: 7 days after index hospital discharge and 30 days after index hospital discharge, respectively

  4. Tokens

    Token burden: the number of tokens used per AI-generated care summary.

    Time frame: WIthin 1 hour following generation of each AI care summary (during index hospitalization)

  5. Energy usage

    Energy use: estimated average kilowatt-hour use per AI-generated summary.

    Time frame: WIthin 1 hour of generation of the AI care summary (during index hospitalization)

  6. Acceptability: Physician

    AI care summary rejection rate: the proportion of AI-generated summaries that attending physicians determine are not appropriate to share with caregivers.

    Time frame: Within 1 hour of attending physician review of each AI-generated summary, prior to caregiver distribution, during index hospitalization

  7. Reason for Rejection

    Reason for rejection: the primary reason an attending rejects a summary. One of five categorical options for rejection (contains sensitive information, contains factual errors, tone is not right, prefer not to provide written information, concerned may cause confusion); or category "other" with a free text response.

    Time frame: WIthin 1 hour of attending physician review of the AI care summary, during the index hospitalization

  8. Caregiver-Rated Usefulness of AI Care Summary (5-Point Likert Scale)

    Caregiver rating of how helpful the AI-generated care summary was for understanding the child's hospitalization, measured on a 5-point Likert scale ranging from 1 (Not Helpful at All) to 5 (Extremely Helpful). Higher scores indicate greater perceived usefulness.

    Time frame: Within 24 hours after receipt of the AI care summary, during the index hospitalization

  9. Engagement: Caregiver

    Caregiver interest in AI summaries as standard care: whether caregivers would want this type of summary incorporated into routine care.

    Time frame: Within 24 hours after receipt of the AI care summary, during the index hospitalization

07

Study locations

1 of 1 sites recruiting
  • Children's National Hospital
    Washington D.C., District of Columbia 20010, United States
    Recruiting
    • Kristen Johnson, MD, MS · Contact
08

References and documents

Publications

  • Bedi S, Liu Y, Orr-Ewing L, Dash D, Koyejo S, Callahan A, Fries JA, Wornow M, Swaminathan A, Lehmann LS, Hong HJ, Kashyap M, Chaurasia AR, Shah NR, Singh K, Tazbaz T, Milstein A, Pfeffer MA, Shah NH. Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review. JAMA. 2025 Jan 28;333(4):319-328. doi: 10.1001/jama.2024.21700. PubMed 39405325 ↗
  • Schoonbeek RC, Workum JD, Schuit SCE, Hoekman AH, Mehri T, Doornberg JN, van der Laan TP, Bootsma-Robroeks CMHHT; Applied Artificial Intelligence in Healthcare Consortium. Quality and efficiency of integrating customised large language model-generated summaries versus physician-written summaries: a validation study. BMJ Open. 2025 Sep 4;15(9):e099301. doi: 10.1136/bmjopen-2025-099301. PubMed 40908007 ↗
  • Greenberg JA, Basapur S, Quinn TV, Bulger JL, Schwartz NH, Oh SK, Ritz EM, Glover CM, Shah RC. Daily Written Care Summaries for Families of Critically Ill Patients: A Randomized Controlled Trial. Crit Care Med. 2022 Sep 1;50(9):1296-1305. doi: 10.1097/CCM.0000000000005583. Epub 2022 May 23. PubMed 35607975 ↗
  • Johnson AM, Brimhall AS, Johnson ET, Hodgson J, Didericksen K, Pye J, Harmon GJC, Sewell KB. A systematic review of the effectiveness of patient education through patient portals. JAMIA Open. 2023 Jan 18;6(1):ooac085. doi: 10.1093/jamiaopen/ooac085. eCollection 2023 Apr. PubMed 36686972 ↗
  • Rea KE, Rao P, Hill E, Saylor KM, Cousino MK. Families' Experiences With Pediatric Family-Centered Rounds: A Systematic Review. Pediatrics. 2018 Mar;141(3):e20171883. doi: 10.1542/peds.2017-1883. Epub 2018 Feb 6. PubMed 29437931 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No — Our IRB protocol does not permit IPD sharing for subject privacy

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started May 2026 (actual). Primary completion is estimated for Jun 2027, 13 months after the start.

Of 368 non-industry interventional studies with no phase under Patient Satisfaction, half reached primary completion within 12 months of starting (the median), counting those still running; a quarter within 6 and three quarters within 23. This study's planned 13 months is close to that.

Counting every sponsor, half of 370 studies reached it within 12 months; a quarter within 6 and three quarters within 23.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 23, 2026
First posted
Sep 21, 2026
StartActual
May 5, 2026
Primary completionEst.
Jun 30, 2027
CompletionEst.
Jun 30, 2027
Last update
Sep 21, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 21, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07831018
Responsible party
Kristen Elaine Johnson (Pediatric Hospitalist; Assistant Professor of Pediatrics, Children's National Research Institute) — Principal investigator
First posted
Sep 21, 2026
Start date
May 5, 2026
Primary completion
Jun 30, 2027 (estimated)
Completion
Jun 30, 2027 (estimated)
Last update
Sep 21, 2026

Study contacts

Kristen E Johnson, MD, MS
Contact
kejohnson@childrensnational.org
571-235-6524

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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