CLINICAL_TRIALS
ClinicalTrials.gov record update
Impact of Innovative ECG Training Using AI-Supported Clinical Scenarios on Knowledge, Clinical Reasoning, and Self-Efficacy Among Nursing Staff
This page presents selected fields from the linked source record. It does not add a medical interpretation.
Record identity and dates
- Source
- ClinicalTrials.gov
- Source record ID
- NCT07455357
- Title field or adapter rule
- protocolSection.identificationModule.officialTitle
- Ingested At
- 2026-04-25T22:28:13.531453+00:00
- Published At
- 2026-03-13T00:00:00+00:00
- Record Updated At
- 2026-03-13
- Timestamp Basis
- source retrieval time was not retained by the feed adapter
- Date limitation
- source retrieval time was not retained by the feed adapter
Fields recorded by this source
- protocolSection.conditionsModule.conditions
["Electrocardiogram Interpretation", "Nursing Education", "Clinical Reasoning", "Artificial Intelligence", "Clinical Decision-Making", "Cardiovascular Care"]- protocolSection.statusModule.lastUpdatePostDateStruct.date
"2026-03-13"- protocolSection.identificationModule.nctId
"NCT07455357"- protocolSection.identificationModule.officialTitle
"Impact of Innovative ECG Training Using AI-Supported Clinical Scenarios on Knowledge, Clinical Reasoning, and Self-Efficacy Among Nursing Staff"- protocolSection.statusModule.overallStatus
"COMPLETED"- protocolSection.designModule.phases
["NA"]- protocolSection.statusModule.resultsFirstPostDateStruct.date
""
Study condition terms
Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.
This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.