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Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded
Ying-Hsien Chen1, Chi-Sheng Hung1, Ching-Chang Huang1
1Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
JMIR Mhealth and Uhealth
|September 28, 2017
Summary
Screening for atrial fibrillation (AF) in nonmetropolitan areas is feasible using telehealth and a cloud-computing algorithm. This approach effectively identifies AF, improving early detection and patient outcomes.
Area of Science:
- Cardiology
- Digital Health
- Public Health
Background:
- Atrial fibrillation (AF) increases stroke and mortality risk, making early detection crucial.
- Current screening methods may not adequately reach nonmetropolitan populations.
- No prior studies have assessed telehealth-based AF screening with cloud algorithms.
Purpose of the Study:
- To evaluate the feasibility of AF screening in nonmetropolitan areas.
- To test a telehealth surveillance system with an integrated cloud-computing algorithm for AF detection.
Main Methods:
- Prospective study in a nonmetropolitan area using single-lead ECG recorders.
- ECGs reviewed via telehealth system, interpreted by cloud algorithm and cardiologist.
- Patient satisfaction assessed through a questionnaire.
Main Results:
- 967 ECGs from 922 residents; 2.4% diagnosed with AF.
- Cloud algorithm demonstrated high sensitivity (95.5%) and specificity (97.7%).
- Low artifact rate (0.2%) and high overall satisfaction (92.1%).
Conclusions:
- Telehealth surveillance with a cloud-computing algorithm is a feasible method for AF screening in nonmetropolitan settings.
- This technology can facilitate early AF detection, potentially reducing complications.
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