- ICH GCP
- Amerikanska kliniska prövningsregistret
- Klinisk prövning NCT07831018
Impact of AI Care Summaries on Caregiver Comprehension
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.
Studieöversikt
Status
Betingelser
Intervention / Behandling
Detaljerad beskrivning
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.
Studietyp
Inskrivning (Beräknad)
Fas
- Inte tillämpbar
Kontakter och platser
Studiekontakt
- Namn: Kristen E Johnson, MD, MS
- Telefonnummer: 571-235-6524
- E-post: kejohnson@childrensnational.org
Studieorter
-
-
District of Columbia
-
Washington D.C., District of Columbia, Förenta staterna, 20010
- Rekrytering
- Children's National Hospital
-
Kontakt:
- Kristen Johnson, MD, MS
-
-
Deltagandekriterier
Urvalskriterier
Åldrar som är berättigade till studier
Tar emot friska volontärer
Kön som är behöriga för studier
Beskrivning
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
Hur är studien utformad?
Designdetaljer
- Primärt syfte: Hälsovårdsforskning
- Tilldelning: Randomiserad
- Interventionsmodell: Parallellt uppdrag
- Maskning: Enda
Vapen och interventioner
Deltagargrupp / Arm |
Intervention / Behandling |
|---|---|
|
Inget ingripande: Standard Hospital Communication
Standard hospital communication |
|
|
Experimentell: 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. |
Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
Hospital Course Comprehension Score
Tidsram: 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
|
Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
LOS
Tidsram: Throughout study duration, on average one year
|
Length of stay |
Throughout study duration, on average one year
|
|
Readmission
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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)
Tidsram: 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
Tidsram: 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
|
Samarbetspartners och utredare
Publikationer och användbara länkar
Allmänna publikationer
- 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.
- 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.
- 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.
- 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.
- 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.
Studieavstämningsdatum
Studera stora datum
Studiestart (Faktisk)
Primärt slutförande (Beräknad)
Avslutad studie (Beräknad)
Studieregistreringsdatum
Först inskickad
Först inskickad som uppfyllde QC-kriterierna
Första postat (Faktisk)
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
Senast verifierad
Mer information
Termer relaterade till denna studie
Nyckelord
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- STUDY00001841
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