DPDP for healthtech (India): sensitive-data playbook
- Connect day-to-day workflows to what you collect, disclose, and retain—on real user journeys.
- Review forms, integrations, and vendor access on a real journey.
- Document decisions so sales and product do not contradict support.
- When stakes are high, verify wording against official resources.
- Use the compliance portal to pick the next operational drill.
Health-adjacent products collect dense personal data: symptoms, lab PDFs, wearables, insurance quotes, caregiver contacts. Users read medical trust into your UI; your legal and operational posture may differ. This page is informational only, not medical or legal advice—use counsel for high-risk claims. For execution, pair with children’s data where relevant and deletion workflows.
30-day playbook
- Week 1 — Classification: Tag data types and flows (chat, upload, device, claims) with owners.
- Week 2 — Vendor map: Telehealth, transcription, cloud ML—contract scope vs actual API usage.
- Week 3 — Deletion drill: Raw + derived + embeddings + analytics projects—document gaps.
- Week 4 — Support & safety: Screen-share policies; moderation queues; escalation to grievance contacts.
Lifecycle
- Acquisition: Symptom checkers, booking, assessments.
- Care delivery: Video, prescriptions, lab integrations.
- Monitoring: Wearables, nudges, adherence.
- Research / ML: If used, align with explicit consent narratives your counsel approves.
Systems grid
| Layer | Govern | Questions |
|---|---|---|
| Televideo / chat | Sessions, transcripts | Recording opt-in; vendor retention; clinician access logs |
| Diagnostics | HL7/FHIR bridges, manual QC | Human reviewers; offshore processing; breach reporting paths |
| Device / wearable | Streams, aggregates | Re-identification risk; user-visible vs backend-only fields |
| CRM / growth | Newsletters, trials | Keep clinical and marketing stacks separated where possible |
Disclosure: Planning categories only; no paid rankings. Affiliates/referrals will be disclosed per editorial policy.
Consent & notice
- Therapeutic tone vs legal: Marketing calm must still match processing reality.
- Caregiver / nominee: Nomination flows should be understandable.
- Optional research: Explicit enough to survive withdrawal.
Failure modes
- QA snippets with prod-like data.
- Vendor ML sending excerpts off-platform without review discipline.
- Screen-share leaks in support.
Illustrative hypothetical (fiction, not factual): “PulseNest” adds an AI coach that stores nightly chat summaries beside raw chat to speed support. A user requests deletion; staff remove chat but not summaries in an analytics project. A generic wellness tip still echoes a symptom phrase the user believed erased. The lesson: derivative residue must be on the same deletion map as primary data.