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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.1
- 수록면
- 351 - 357 (7page)
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초록· 키워드
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Background and Objectives: A mobile application (app)-based electrocardiogram (ECG) consultation system (InterMD Co., Ltd., Seoul, Korea) using the collective intelligence (CI) and the availability of large-scale digitized ECG data would extend the utility of ECGs beyond their current limitations, while at the same time preserving interpretability that remains critical to medical decision-making. Methods: We developed a new mobile app-based ECG consultation system by CI for general practitioners. We compared the responses of ECG reading between the mobile app-based CI system and the conventional system in a tertiary referring hospital. Results: We analyzed 376 consecutive ECGs between December 2017 and May 2019. Of these, 159 ECGs (42.3%) were interpreted by CI through the mobile app-based ECG consultation system and 217 ECGs (57.7%) were analyzed by cardiologists in the conventional systems based on electronic medical record data in a tertiary hospital. All ECG readings were confirmed by an electrophysiologist (EP). The time to an initial response by the CI system was faster than that of the conventional system (6.6 hours vs. 35.8 hours, p<0.0001). The number of responses of each ECG in CI system outnumbered those of the conventional system in the tertiary hospital (3.1 vs. 1.2, p<0.0001). The consensus of the ECG readings with EP was similar in both systems (98.6% vs. 100%, p=0.158). Conclusions: The mobile app-based ECG consultation system by CI is as reliable method as the conventional referral system. It would expand the app of the 12-lead ECG with the collaboration of physicians in clinics and hospitals without time and space constraints.
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참고문헌 (18)
참고문헌 신청
Blackburn H / 1960 / The electrocardiogram in population studies. A classification system / Circulation 21:1160~1175
Henkens IR / 2008 / ECG monitoring of treatment response in pulmonary arterial hypertension patients / Chest 134:1250~1257
Levy D / 1994 / Prognostic implications of baseline electrocardiographic features and their serial changes in subjects with left ventricular hypertrophy / Circulation 90:1786~1793
Tonelli AR / 2014 / Electrocardiography at diagnosis and close to the time of death in pulmonary arterial hypertension / Ann Noninvasive Electrocardiol 19:258~265
Attia ZI / 2019 / An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm : a retrospective analysis of outcome prediction / Lancet 394:861~867
Henkens IR / 2008 / ECG monitoring of treatment response in pulmonary arterial hypertension patients / Chest 134:1250~1257
Levy D / 1994 / Prognostic implications of baseline electrocardiographic features and their serial changes in subjects with left ventricular hypertrophy / Circulation 90:1786~1793
Tonelli AR / 2014 / Electrocardiography at diagnosis and close to the time of death in pulmonary arterial hypertension / Ann Noninvasive Electrocardiol 19:258~265
Attia ZI / 2019 / An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm : a retrospective analysis of outcome prediction / Lancet 394:861~867
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