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Impact of AI Care Summaries on Caregiver Comprehension

15. september 2026 oppdatert av: 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.

Studieoversikt

Status

Rekruttering

Intervensjon / Behandling

Detaljert beskrivelse

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

Intervensjonell

Registrering (Antatt)

100

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studiesteder

    • District of Columbia
      • Washington D.C., District of Columbia, Forente stater, 20010
        • Rekruttering
        • Children's National Hospital
        • Ta kontakt med:
          • Kristen Johnson, MD, MS

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

18 år og eldre (Voksen, Eldre voksen)

Tar imot friske frivillige

Nei

Kjønn som er kvalifisert for studier

Alle

Beskrivelse

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.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Helsetjenesteforskning
  • Tildeling: Randomisert
  • Intervensjonsmodell: Parallell tildeling
  • Masking: Enkelt

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Ingen inngripen: Standard Hospital Communication

Standard hospital communication

Eksperimentell: 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.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Hospital Course Comprehension Score
Tidsramme: 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

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
LOS
Tidsramme: Throughout study duration, on average one year

Length of stay

Throughout study duration, on average one year
Readmission
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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)
Tidsramme: 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
Tidsramme: 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

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Publikasjoner og nyttige lenker

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Generelle publikasjoner

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

5. mai 2026

Primær fullføring (Antatt)

30. juni 2027

Studiet fullført (Antatt)

30. juni 2027

Datoer for studieregistrering

Først innsendt

23. juli 2026

Først innsendt som oppfylte QC-kriteriene

15. september 2026

Først lagt ut (Faktiske)

21. september 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

21. september 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

15. september 2026

Sist bekreftet

1. september 2026

Mer informasjon

Begreper knyttet til denne studien

Andre studie-ID-numre

  • STUDY00001841

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IPD-planbeskrivelse

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