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The purpose of the study is to determine if the Electrocardiograms (ECGs) and symptoms data obtained from an Apple Watch and transmitted to Mayo Clinic are of sufficient quality to guide a person's care.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with ECG-capable Apple Watch | Patients who own an Apple Watch series 4 or later willing to record and upload personal ECGs to our study App |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of patient-triggered Apple Watch ECGs recorded | Total number of patient-triggered Apple Watch ECGs recorded and uploaded by individual patients over the study period. | 12 months |
| Frequency of medical providers accessing Apple Watch data | Number of times a medical provider accesses the Apple Watch data via electronic medical record-linked ECG dashboard. | 12 months |
| Number of Apple Watch ECGs of acceptable quality | A sample of Apple Watch ECGs will undergo manual review by ECG technicians and rated using a standard data form for signal quality and diagnostic utility, summarized as the percent of "acceptable" ECGs. | 12 months |
| Performance of Artificial Intelligence ECG algorithms for disease prediction with Apple Watch ECGs | Artificial Intelligence ECG algorithms to predict various cardiac pathologies will be applied to Apple Watch ECGs. Accuracy and performance of AI algorithm models will be assessed by comparing AI predicted disease and patient's given medical diagnosis in the electronic medical record. | 12 months |
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Inclusion Criteria:
- Using the Mayo patient iPhone app. (determined automatically via Mayo software).
Exclusion Criteria:
- Inability to provide informed consent.
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Patients in the general public who own ECG-capable Apple Watches
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| Name | Affiliation | Role |
|---|---|---|
| Paul Friedman, MD | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic Rochester | Rochester | Minnesota | 55905 | United States |
Due to patient confidentiality and IRB rules, we will not make individual patient data available
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| D001145 | Arrhythmias, Cardiac |
| D010342 | Patient Acceptance of Health Care |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |