Patient Identification
Using a hand-held Doppler monitor, pregnant subjects record 10-15 seconds of their baby’s heart beat and send an audio text of the heart beat to their physician.
This SOP provides a concise, guideline-based framework for sudden cardiac death risk stratification and ICD indications across multiple cardiomyopathies, including ischemic and non-ischemic dilated cardiomyopathy, ARVC, HOCM, myotonic dystrophy, and…
This competency document outlines the specific skills, knowledge, and behaviours required of Cardiac Physiologists working with Cardiac Implantable Electronic Devices (CIEDs) in Australia. It serves as a comprehensive tool for…
These documents describe an IRB-approved research study and clinical safety workflow that allows patients with pacemakers/ICDs (CIEDs) to undergo clinically indicated MRI with standardized monitoring, device programming, and follow-up, while…
The study evaluates the diagnostic significance of QRS voltage variability (Shora sign) in identifying atrial fibrillation (AF) compared to conventional ECG criteria. It involves a case-control design with 200 AF…
Order Sets: ED AF <48h Protocol
Order Sets: ED AF >48h/Unknown Duration Protocol
Journal Articles: BACKGROUND Multiple smart devices capable to detect atrial fibrillation (AF) are presently available. Sensitivity and specificity for the detection of AF may differ between available smart devices, and this has not yet been adequately investigated. OBJECTIVES The aim was to assess the accuracy of 5 smart devices in identifying AF compared with a physician interpreted 12-lead electrocardiogram as the reference standard in a real-world cohort of patients. METHODS We consecutively enrolled patients presenting to a cardiology service at a tertiary referral center in a prospective, diagnostic study. RESULTS We prospectively analyzed 201 patients (31% women, median age 66.7 years). AF was present in 62 (31%) patients. Sensitivity and specificity for the detection of AF were comparable between devices: 85% and 75% for the Apple Watch 6, 85% and 75% for the Samsung Galaxy Watch 3, 58% and 75% for the Withings Scanwatch, 66% and 79% for the Fitbit Sense, and 79% and 69% for the AliveCor KardiaMobile, respectively. The rate of inconclusive tracings (the algorithm was unable to determine the heart rhythm) was 18%, 17%, 24%, 21%, and 26% for the Apple Watch 6, Samsung Galaxy Watch 3, Withings Scan Watch, Fitbit Sense, and AliveCor KardiaMobile (P < 0.01 for pairwise comparison), respectively. By manual review of inconclusive tracings, the rhythm could be determined in 955 (99%) of 969 single-lead electrocardiograms. Regarding patient acceptance, the Apple Watch was ranked first (39% of participants). CONCLUSIONS In this clinical validation of 5 direct-to-consumer smart devices, we found differences in the amount of inconclusive tracings diminishing sensitivity and specificity of the smart devices. In a clinical setting, manual review of tracings is required in about one-fourth of cases.
Care Pathways/CDS: Care pathway for AFib patients presenting for an endoscopic procedure. Includes steps to follow, decision support tool, and link to the full guideline.
Care Pathways/CDS: Clinical Pathway for Suspected AF