CLINICAL_TRIALS ClinicalTrials.gov record update

Determining the Consistency Between Nurses and Artificial Intelligence (ChatGPT-5) in Delivering Scenario-Based Discharge Education to Coronary Artery Bypass Graft Patients: A Methodological Study

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT07263724
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:28:04.322442+00:00
Published At: 2026-04-02T00:00:00+00:00
Record Updated At: 2026-04-02
Timestamp Basis: source retrieval time was not retained by the feed adapter
Date limitation: source retrieval time was not retained by the feed adapter

protocolSection.conditionsModule.conditions: ["Coronary Artery Bypass Graft Surgery (CABG)", "Patient Education"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2026-04-02"
protocolSection.identificationModule.nctId: "NCT07263724"
protocolSection.identificationModule.officialTitle: "Determining the Consistency Between Nurses and Artificial Intelligence (ChatGPT-5) in Delivering Scenario-Based Discharge Education to Coronary Artery Bypass Graft Patients: A Methodological Study"
protocolSection.statusModule.overallStatus: "NOT_YET_RECRUITING"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

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