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An Automated Fast Healthcare Interoperability Resources-Based 12-Lead Electrocardiogram Mobile Alert System for Suspected Acute Coronary Syndrome

Yonsei Medical Journal 2020년 61권 5호 p.416 ~ 422
 ( Hur Su-Jeong ) - Sungkyunkwan University Samsung Advanced Institute for Health Sciences and Technology Department of Digital Health

 ( Lee Jean-Hyoung ) - Samsung Medical Center Health Information and Strategy Center
김태림 ( Kim Tae-Rim ) - Sungkyunkwan University School of Medicine Samsung Medical Center Department of Emergency Medicine
최종수 ( Choi Jong-Soo ) - Sungkyunkwan University Samsung Advanced Institute for Health Sciences and Technology Department of Digital Health
강미라 ( Kang Mi-Ra ) - Sungkyunkwan University Samsung Advanced Institute for Health Sciences and Technology Department of Digital Health
장동경 ( Chang Dong-Kyung ) - Sungkyunkwan University School of Medicine Samsung Medical Center Department of Internal Medicine
차원철 ( Cha Won-Chul ) - Sungkyunkwan University School of Medicine Samsung Medical Center Department of Emergency Medicine

Abstract


Purpose: For patients with time-critical acute coronary syndrome, reporting electrocardiogram (ECG) findings is the most important component of the treatment process. We aimed to develop and validate an automated Fast Healthcare Interoperability Resources (FHIR)-based 12-lead ECG mobile alert system for use in an emergency department (ED).

Materials and Methods: An automated FHIR-based 12-lead ECG alert system was developed in the ED of an academic tertiary care hospital. The system was aimed at generating an alert for patients with suspected acute coronary syndrome based on interpretation by the legacy device. The alert is transmitted to physicians both via a mobile application and the patient's electronic medical record (EMR). The automated FHIR-based 12-lead ECG alert system processing interval was defined as the time from ED arrival and 12-lead ECG capture to the time when the FHIR-based notification was transmitted.

Results: During the study period, 3812 emergency visits and 1581 12-lead ECGs were recorded. The FHIR system generated 155 alerts for 116 patients. The alerted patients were significantly older [mean (standard deviation): 68.1 (12.4) years vs. 59.6 (16.8) years, p<0.001], and the cardiac-related symptom rate was higher (34.5% vs. 19%, p<0.001). Among the 155 alerts, 146 (94%) were transmitted successfully within 5 minutes. The median interval from 12-lead ECG capture to FHIR notification was 2.7 min [interquartile range (IQR) 2.2?3.1 min] for the group with cardiac-related symptoms and 3.0 min (IQR 2.5?3.4 min) for the group with non-cardiac-related symptoms.

Conclusion: An automated FHIR-based 12-lead ECG mobile alert system was successfully implemented in an ED.

키워드

Health information interoperability; electrocardiogram; ST elevation myocardial infarction; workflow; health information exchange
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