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Impact of AI Care Summaries on Caregiver Comprehension

15 september 2026 bijgewerkt door: Kristen Elaine Johnson, Children's National Research Institute

Impact of AI Care Summaries on Caregiver Comprehension of Hospital Course

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.

Studie Overzicht

Toestand

Werving

Interventie / Behandeling

Gedetailleerde beschrijving

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.

Studietype

Ingrijpend

Inschrijving (Geschat)

100

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Locaties

    • District of Columbia
      • Washington D.C., District of Columbia, Verenigde Staten, 20010
        • Werving
        • Children's National Hospital
        • Contact:
          • Kristen Johnson, MD, MS

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

18 jaar en ouder (Volwassen, Oudere volwassene)

Accepteert gezonde vrijwilligers

Nee

Geslachten die in aanmerking komen voor studie

Allemaal

Beschrijving

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.

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Onderzoek naar gezondheidsdiensten
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Enkel

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Geen tussenkomst: Standard Hospital Communication

Standard hospital communication

Experimenteel: Standard Hospital Communication Plus AI Care Summary

Attending-approved written AI Care Summary provided to 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.

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Hospital Course Comprehension Score
Tijdsspanne: Within 24 hours after receipt of the AI care summary or completion of standard care communication, during the index hospitalization

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).

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

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
LOS
Tijdsspanne: Throughout study duration, on average one year

Length of stay

Throughout study duration, on average one year
Readmission
Tijdsspanne: During study duration, on average one year

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.

During study duration, on average one year
ED reutilization
Tijdsspanne: 7 days after index hospital discharge and 30 days after index hospital discharge, respectively

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.

7 days after index hospital discharge and 30 days after index hospital discharge, respectively
Tokens
Tijdsspanne: WIthin 1 hour following generation of each AI care summary (during index hospitalization)

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

WIthin 1 hour following generation of each AI care summary (during index hospitalization)
Energy usage
Tijdsspanne: WIthin 1 hour of generation of the AI care summary (during index hospitalization)

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

WIthin 1 hour of generation of the AI care summary (during index hospitalization)
Acceptability: Physician
Tijdsspanne: Within 1 hour of attending physician review of each AI-generated summary, prior to caregiver distribution, during index hospitalization

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

Within 1 hour of attending physician review of each AI-generated summary, prior to caregiver distribution, during index hospitalization
Reason for Rejection
Tijdsspanne: WIthin 1 hour of attending physician review of the AI care summary, during the index hospitalization

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.

WIthin 1 hour of attending physician review of the AI care summary, during the index hospitalization
Caregiver-Rated Usefulness of AI Care Summary (5-Point Likert Scale)
Tijdsspanne: Within 24 hours after receipt of the AI care summary, during the index hospitalization

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.

Within 24 hours after receipt of the AI care summary, during the index hospitalization
Engagement: Caregiver
Tijdsspanne: Within 24 hours after receipt of the AI care summary, during the index hospitalization

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

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

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Publicaties en nuttige links

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Algemene publicaties

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Werkelijk)

5 mei 2026

Primaire voltooiing (Geschat)

30 juni 2027

Studie voltooiing (Geschat)

30 juni 2027

Studieregistratiedata

Eerst ingediend

23 juli 2026

Eerst ingediend dat voldeed aan de QC-criteria

15 september 2026

Eerst geplaatst (Werkelijk)

21 september 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

21 september 2026

Laatste update ingediend die voldeed aan QC-criteria

15 september 2026

Laatst geverifieerd

1 september 2026

Meer informatie

Termen gerelateerd aan deze studie

Andere studie-ID-nummers

  • STUDY00001841

Plan Individuele Deelnemersgegevens (IPD)

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NEE

Beschrijving IPD-plan

Our IRB protocol does not permit IPD sharing for subject privacy

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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