Health-Data Privacy Data Privacy Guide for Biohackers
A privacy-first guide to health-data privacy data, including local processing, encryption, consent and deletion controls.
Health data is deeply personal, so privacy is the precondition for trusting any monitoring device.
Why privacy is foundational
Data about health-data privacy is intimate. For quantified-self users optimising routines with data, trust must come before tracking.
What should be protected
Raw signals, identifiers, health trends and clinician-sharing permissions all need strict minimisation and control.
- On-device processing of sensitive signals
- Encrypted storage and transfer
- User-controlled consent and deletion
“Useful health-data privacy data is not a single answer — it is a trusted trend, explained clearly enough to act on.”
Local-first processing
The most sensitive parts of on-device processing of sensitive signals analysis should be processed close to the device wherever possible.
Consent and deletion
Users should know what is stored, who can see it and how to remove it without friction.
Privacy as product quality
A system that delivers experiments that can be measured instead of guessed must be safe enough to use every day.
