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Impact of AI Care Summaries on Caregiver Comprehension

15 septembre 2026 mis à jour par: 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.

Aperçu de l'étude

Statut

Recrutement

Les conditions

Intervention / Traitement

Description détaillée

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.

Type d'étude

Interventionnel

Inscription (Estimé)

100

Phase

  • N'est pas applicable

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Coordonnées de l'étude

Lieux d'étude

  • États-Unis
    • District of Columbia
      • Washington D.C., District of Columbia, États-Unis, 20010
        • Recrutement
        • Children's National Hospital
        • Contact:
          • Kristen Johnson, MD, MS

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

18 ans et plus (Adulte, Adulte plus âgé)

Accepte les volontaires sains

Non

Sexes éligibles pour l'étude

Tout

La description

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.

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Objectif principal: Recherche sur les services de santé
  • Répartition: Randomisé
  • Modèle interventionnel: Affectation parallèle
  • Masquage: Seul

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Aucune intervention: Standard Hospital Communication

Standard hospital communication
Expérimental: Standard Hospital Communication Plus AI Care Summary

Attending-approved written AI Care Summary provided to caregiver
Autre: AI 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.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Hospital Course Comprehension Score
Délai: 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

Mesures de résultats secondaires

Mesure des résultats
Description de la mesure
Délai
LOS
Délai: Throughout study duration, on average one year

Length of stay
Throughout study duration, on average one year
Readmission
Délai: 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
Délai: 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
Délai: 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
Délai: 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
Délai: 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
Délai: 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)
Délai: 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
Délai: 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

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Parrainer

Children's National Research Institute

Publications et liens utiles

La personne responsable de la saisie des informations sur l'étude fournit volontairement ces publications. Il peut s'agir de tout ce qui concerne l'étude.

Publications générales

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Réel)

5 mai 2026

Achèvement primaire (Estimé)

30 juin 2027

Achèvement de l'étude (Estimé)

30 juin 2027

Dates d'inscription aux études

Première soumission

23 juillet 2026

Première soumission répondant aux critères de contrôle qualité

15 septembre 2026

Première publication (Réel)

21 septembre 2026

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

21 septembre 2026

Dernière mise à jour soumise répondant aux critères de contrôle qualité

15 septembre 2026

Dernière vérification

1 septembre 2026

Plus d'information

Termes liés à cette étude

Mots clés

Termes MeSH pertinents supplémentaires

Autres numéros d'identification d'étude

  • STUDY00001841

Plan pour les données individuelles des participants (IPD)

Prévoyez-vous de partager les données individuelles des participants (DPI) ?

NON

Description du régime IPD

Our IRB protocol does not permit IPD sharing for subject privacy

Informations sur les médicaments et les dispositifs, documents d'étude

Étudie un produit pharmaceutique réglementé par la FDA américaine

Non

Étudie un produit d'appareil réglementé par la FDA américaine

Non

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