HealthTech Data: Compliance and Interoperability
Health tech relies on data for patient care, but sharing it across systems must be safe and legal. Patients expect privacy, and clinicians rely on timely information. The combination of compliance and interoperability helps both goals: stay within rules and connect data across apps and devices.
Compliance keeps data protected. In the US, HIPAA sets rules for how personal health information can be used, stored, and shared. In Europe and many other places, GDPR adds rights for patients and strict data handling. Beyond laws, good practice includes data minimization, consent management, and clear breach procedures. Regular risk assessments and audited access controls reduce the chance of mistakes.
Interoperability means data can move smoothly between systems. Using open standards makes this possible. In health care, the FHIR standard is a common building block for patient records, observations, medications, and care plans. APIs, strong authentication, and precise data mappings help systems talk to each other. When data models are aligned, clinicians see complete information, and patients benefit from coordinated care.
Key practices:
- Map data types to protections (PHI, PII) and keep an up-to-date privacy notice
- Encrypt data at rest and in transit; enforce role-based access
- Use consent flags and patient rights management
- Do regular risk checks and keep an incident response plan
- Track data lineage with audit trails for accountability
Interoperability in action:
- Use FHIR resources to exchange core data like patient, observation, and procedure
- Favor API-first design with OAuth 2.0 and OpenID Connect
- Include data quality checks and clear mapping rules
- Provide fallbacks for legacy systems to avoid gaps
Steps to improve:
- Define use cases, then choose standards and tools
- Build a governance model with clear ownership and documenting data flows
- Test end-to-end exchanges before go-live
Real-world benefits often show up as fewer duplicate tests, faster care transitions, and better population health insights. But teams must plan for data quality, vendor differences, and ongoing training.
Key Takeaways
- Compliance and interoperability go hand in hand to protect patients and enable better care
- Standards like FHIR and strong API design help data move safely
- Ongoing governance, security, and consent management sustain trust