Clinical Scorecard: Could Wearables Redefine Diagnostics?
At a Glance
| Category | Detail |
|---|---|
| Condition | Wearable diagnostic technologies for monitoring molecular biomarkers and physiological signals |
| Key Mechanisms | Wearable sensors measure biomarkers in fluids such as sweat, tears, and saliva, as well as electrical activity, movement, and cardiovascular function; AI may identify patterns across measurements. |
| Target Population | People being assessed or monitored for conditions including diabetes, cardiovascular disease, neurological disorders, cancer, and inflammatory conditions. |
| Care Setting | Everyday-life monitoring and potential clinical assessment; the review describes technologies that require further validation before broad clinical adoption. |
Key Highlights
- Wearable devices can track biological changes continuously, unlike tests that provide measurements at specific time points.
- Platforms include skin patches, smart contact lenses, and electronic textiles.
- Sensors can measure metabolites, electrolytes, hormones, and physiological signals.
- Movement, environmental conditions, individual differences, and performance deterioration can affect measurement reliability.
- The authors state that wearable diagnostics should complement, not replace, conventional testing.
Guideline-Based Recommendations
Diagnosis
- Do not infer clinical equivalence from analytical sensitivity alone.
- Compare wearable technologies with established diagnostic methods, including laboratory assays, imaging, and histopathology.
Management
- Use wearable diagnostics as complementary to conventional testing, according to the authors.
- Further investigate how biomarker concentrations in sweat and other fluids translate into clinically meaningful results.
Monitoring & Follow-up
- Assess sensor reliability during prolonged use and under varying movement and environmental conditions.
- Evaluate measurement reliability across individuals.
Risks
- Sensor performance may deteriorate during prolonged use.
- Movement, environmental conditions, and individual differences may affect measurement reliability.
- Many wearable technologies have not been adequately compared with established diagnostic methods.
Patient & Prescribing Data
The review discusses potential applications across diabetes, cardiovascular disease, neurological disorders, cancer, and inflammatory conditions; it provides no prescribing criteria.
Wearable glucose sensors are described as widely used and as demonstrating the clinical value of continuous biochemical monitoring. Other wearable diagnostic applications remain under development or require further validation.
Clinical Best Practices
- Require standardized validation, reliable long-term performance, and regulatory oversight before clinical translation.
- Compare wearable measurements with established diagnostic methods.
- Treat wearable diagnostics as complementary to conventional testing rather than as replacements.
Related Resources & Content
Based on findings from:
Could Wearables Redefine Diagnostics?
The Pathologist, 2026.
https://www.thepathologist.com/issues/2026/articles/october/could-wearables-redefine-diagnostics/
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.