“My labs look fine, but I still feel depleted.”
Digital signals may add context about sleep, autonomic regulation, activity and recovery.
Blood work gives us a snapshot. Digital biomarkers can add another layer: measurable physiological patterns captured through digital health technologies.
Heart rhythm, sleep, activity, recovery and other sensor-derived signals can help create a more complete picture of what is happening between office visits—not just on the day your labs were drawn.
Start with an HRV & Holistic Intelligence™ Assessment to explore one of the most accessible digital biomarkers used in our practice.
Most medical testing captures a moment in time. Digital health can add longitudinal information—patterns measured while you sleep, move, recover and live your normal life.
Digital signals may add context about sleep, autonomic regulation, activity and recovery.
A score without context can be misleading. Baseline, medications, health history and measurement conditions matter.
Repeated measurements can reveal patterns that a single office visit cannot capture.
Longitudinal digital data may help show how physiology changes alongside real-life conditions.
Labs, imaging, questionnaires, wearables and sensor data become more useful when reviewed together.
The goal is not more numbers. It is identifying which measurements are meaningful enough to improve the clinical conversation.
A digital biomarker is an objectively measured physiological or behavioral characteristic collected through digital technology. Depending on the technology, this may include heart rhythm, sleep, activity, glucose patterns, respiratory signals and other measurable data.
Digital technologies can capture signals repeatedly rather than relying only on one office measurement.
Patterns across comparable measurements may be more informative than a single isolated score.
Digital data can be reviewed alongside symptoms, labs, imaging, medications and medical history.
Digital biomarkers support clinical understanding; they do not replace physician evaluation.
The future of digital health is not one device. It is meaningful integration.
Laboratory testing can show biochemical and metabolic information. Imaging shows structure. DEXA can characterize body composition and bone density. Questionnaires add patient-reported context. Sensor-based technologies can contribute repeated physiological measurements.
When appropriate, these data streams can be reviewed together to reduce the blind spots created when each piece of information lives in a separate report.
Clinical interpretation asks whether a measurement is reliable, relevant to the patient, consistent with other findings and useful for the next decision.
Elizaveta Kutis, MD, Clinical Director of Digital Health, leads the clinical interpretation and integration of digital health information within the practice.
Her role is to connect sensor-derived physiological measurements and digital biomarkers with conventional clinical information—including laboratory results, imaging, patient history, symptoms and physician assessment—so that digital data is not interpreted as an isolated score.
Her work also includes the development of clinical approaches for evaluating emerging digital biomarkers and integrating digital health technologies into real-world medical care and research.
HRV is one practical entry point into digital health. It uses beat-to-beat cardiac timing to add information about autonomic regulation and recovery in the context in which it was measured.
Complete your HRV recording using an ECG-based digital health system.
Review the pattern in context rather than treating a single number as a diagnosis.
Use the findings as one additional layer within your broader health and wellness discussion.
Start with the HRV & Holistic Intelligence™ Assessment, or send a request if you want to ask how digital health information may fit into your broader care.
Explore an HRV & Holistic Intelligence™ Assessment and discover how one digital biomarker can add another layer to your health story.
Explore My Digital Biomarkers