We are living through the transformation of the human body into data. Steps walked, calories burned, blood pressure, heart rate, oxygen saturation, and even sleep quality can now be tracked through consumer wearable devices. These devices aim to convert our daily lives into numbers people can use to make decisions about their health.
In the past, a doctor’s visit was often prompted by symptoms: pain, fatigue, feeling sick, or perhaps a vague sense that something was wrong. Now, the trigger may be a notification. A patient might notice repeated elevated blood pressure readings or an irregular rhythm notification and decide it is finally time to schedule an appointment with their PCP.
The best-known example is AFib detection. The Apple Heart Study, conducted in collaboration with Stanford researchers, demonstrated how wearable devices can prompt people to seek needed medical care. Among more than 400,000 participants included in the study, approximately 0.5% received an irregular pulse notification. Within this group, 84% of those notifications matched AFib on simultaneous ECG. Another important takeaway: 57% of participants who received a notification reported contacting a clinician outside the study.
The point is not that a smartwatch diagnosed anyone, but that a wearable signal prompted many people to seek evaluation.
For Michael, a 74-year-old with a history of coronary artery disease and a recently placed stent, this was exactly the case. He agreed to share his experience with me for this piece. He had always preferred traditional watches and did not see the need for a smartwatch. After receiving one as a gift because of his cardiac history, however, he was persuaded to try it.
Within a few weeks, the device alerted him multiple times to a possible arrhythmia. He eventually scheduled an appointment with a cardiologist.
“Had it not been for my smartwatch alerting me,” he told me, “I probably would not have gone to the doctor.”
Ideally, adults should follow up with their PCPs regularly, even when they feel well. But many do not. A narrative review in the Journal of General Internal Medicine found that primary care visit rates have declined up to 25% across five national survey and administrative data sources.
That decline leaves fewer opportunities to catch problems early, from outdated medication regimens and unmanaged risk factors to symptoms patients have come to accept as normal. Wearable devices are not a solution to the primary care access problem, but they may become part of the pathway back to care. For some patients, a wearable alert may be the first health-related prompt they take seriously.
Wearables move patients into the system, sometimes to your office and sometimes to the ED. Fall detection is the clearest example of the latter. The CDC estimates that more than 1 in 4 older adults falls each year, yet fewer than half report the fall to a clinician. For physicians, these events are rarely just accidents to document after the fact. They may be early signals of medication adverse effects, neurologic disease, frailty, orthostatic hypotension, or unsafe home environments.
For Ray, a 72-year-old with a known 7-mm brain aneurysm, wearable technology may have been lifesaving. After several falls, he began using a smartwatch with fall detection that could notify loved ones and emergency services if he became unresponsive.
Several months later, he missed the final step on his way to the basement and fell. The device alerted his daughter, who called 911 and helped emergency responders reach him quickly.
“Without the watch, things could have turned out very differently for me,” he shared with me for this piece.
Patient-generated data is an emerging domain that brings with it both opportunities and challenges. Wearable alerts often arrive in the exam room before they have clear clinical meaning, leaving clinicians to translate uncertain signals into an appropriate plan. An irregular rhythm notification, for example, is not a diagnosis; it requires clinical correlation and, when appropriate, confirmation with a 12-lead ECG or ambulatory monitoring. Even then, interpretation is not always straightforward. The patients most likely to use wearable health technology are often younger and healthier, a population with a lower pretest probability of cardiac disease, where false positives and unnecessary testing become more likely.
A subtler problem is that this data arrives unstandardized. Metrics, thresholds, and display formats vary from one device to the next, and patients present them in different ways: a screenshot at one visit, a downloaded rhythm strip at the next, or sometimes the watch itself held up across the desk. The same underlying reading can look different depending on the hardware and how it was captured. Familiarity with these formats helps, though standardization across devices would be even more beneficial.
Physicians should be careful not to dismiss patient-generated data outright, but they also should not allow the device to drive care without clinical context. A single alert is not a diagnosis. An abnormal reading is not always disease. And a normal reading is not a guarantee of safety.
The more useful framing may be to view consumer wearables as prompts for care rather than diagnostic tools. Their value is not that they replace clinical evaluation. What they can do is move patients from passive concern to an actual visit, especially when the issue involves symptoms or events they might otherwise normalize or underreport. For clinicians, the challenge is to make that data usable in practice: setting expectations about which notifications warrant evaluation and building a workflow that does not let patient-generated data overwhelm the visit.
A smartwatch is not a doctor. But if it brings a patient into the exam room before a preventable crisis, that may be exactly the point.
Patient anecdotes shared with permission.
