⌚
Wearables
Track activity, heart rate, sleep estimates and other signals. Trends can be useful; consumer metrics are not all clinical-grade.
Connected care
MedTech and digital health
A practical guide to wearables, biosensors, remote monitoring, digital therapeutics, imaging, robotics and the questions that separate useful tools from expensive dashboards.
📡
Remote monitoring
Connected devices can transmit selected measurements to care teams when integrated into a real workflow.
🩻
Imaging
Advanced acquisition and reconstruction can improve speed, quality and analysis.
🦾
Robotics
Robotic and computer-assisted systems can support surgery, rehabilitation and mobility.
💊
Digital therapeutics
Software may deliver structured interventions; evaluate regulatory status, evidence and engagement burden.
🧪
At-home testing
Convenience does not eliminate false positives, false negatives, pretest probability or the need for interpretation.
🧬
Omics
Genomics, proteomics and metabolomics can generate rich data, but consumer actionability varies.
🔐
Privacy and cybersecurity
Health technology can create lasting data trails. Review access, retention, sharing and account security.
Buyer's framework
Seven questions before buying
- What problem will this solve?
- Is it wellness, screening, diagnosis or treatment?
- What evidence supports the exact model and use?
- What happens when the device is wrong?
- Will the data change a useful decision?
- What is the ongoing cost, subscription and replacement cycle?
- Can I export and delete my data?
Signal ≠ meaning
A sensor reading becomes useful only when it is accurate enough, interpreted in context and connected to an action that improves care or behavior.
See Review Standards