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How to use patient wearable data in cardiology visits

Tarpan Patel
Health Technology
June 21, 2026
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A patient handed me his phone in clinic last week. He was 58, a runner, no known cardiovascular disease. “Doc, my WHOOP says my recovery has been in the red for two weeks. Should I be worried?”

Ten years ago, I would have politely deflected and ordered an echo if I felt the visit needed a deliverable. Today, I look at his screen. Because his wearable was telling me something his vitals weren’t: His resting heart rate had drifted up 9 beats per minute over the prior 14 days, with no obvious explanation. Two days later, his loop event monitor caught paroxysmal atrial fibrillation.

That story is not a one-off. It is the new clinical reality, and we as a profession are not ready for it.

Roughly a third of American adults now wear a device that continuously measures heart rate, heart rate variability (HRV), sleep, and, in increasing numbers, single-lead ECG and AFib detection. The signal embedded in that data is real. Trend changes in resting heart rate precede infection, decompensation, and arrhythmia. Apple’s AFib detection algorithm has been validated in peer-reviewed studies. The Fitbit Heart Study and the Apple Heart Study put the question of clinical-grade signal to bed years ago.

And yet, in 2026, almost none of this data flows into our workflow. There is no electronic medical record (EMR) ingestion pathway in most systems. There is no Current Procedural Terminology (CPT) code for reviewing patient-generated wearable data. There is no formal training in fellowship on how to counsel patients about their Apple Watch alerts. We send patients home with a shrug, “don’t worry about it,” because the alternative requires uncompensated time we don’t have.

This is the wearables-to-usables gap, and it is the next major workflow problem in cardiovascular medicine.

Here is what I tell colleagues who ask how I handle it in clinic.

First, focus on three signals and ignore the rest. Resting heart rate trend (not the absolute number, but a sustained drift of 5 to 10 beats per minute above the patient’s personal baseline) is the single most actionable wearable metric. HRV is useful only against the patient’s own historical average; absolute numbers between patients are meaningless. Sleep duration and consistency (not sleep staging accuracy, which remains weak in consumer devices) has the strongest downstream cardiovascular impact. Everything else on the dashboard is noise.

Second, give patients a decision rule before they ask. Mine is simple: If your resting heart rate trend is up more than 5 bpm for more than two weeks without an obvious explanation, call us. If you get an AFib alert and it persists or recurs, call us. Otherwise, the device is for trend awareness, not for diagnosing disease.

Third, document the conversation. The CPT code 99091 (collection and interpretation of physiologic data digitally stored or transmitted by the patient, requiring a minimum of 30 minutes per 30-day period) exists. Most cardiologists I know don’t bill it. We should.

There is a strategic point underneath all of this that is worth naming. If cardiology does not define the standard of care for consumer wearable data in the next two years, someone else will. Direct-to-consumer telehealth platforms are already building it. Wearable manufacturers are already publishing their own clinical guidance, on their own terms. Patients are already routing around their cardiologists when they don’t get useful answers. We have a narrowing window to be the trusted translator between the device on the wrist and the decision in the clinic. After that, we become an expensive second opinion on data someone else interpreted first.

The fix is not technological. It is professional. We need three things: a fellowship curriculum module on patient-generated wearable data, a society-level position statement defining when wearable signal warrants clinical action, and a reimbursement framework that does not punish physicians for taking patients’ data seriously.

In the meantime, when a patient hands you their phone, look at the screen. The trend line might be the most useful information you get all visit.

Tarpan Patel is a cardiologist.

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