Working model
What belongs in this system
HIPAA compliance is not a feature switch. It is a set of technical and operational decisions about where PHI travels, who can access it, what vendors are in scope, and how the organization proves its controls work.
Start with the data flow
Map collection, storage, processing, support access, exports, logs, backups, and deletion before selecting controls or vendors.
Treat agreements and configuration separately
A BAA can establish contractual responsibility, but it does not make an unsafe payload, SDK, permission model, or retention policy safe.
Design for evidence
Access reviews, restore tests, audit trails, incident procedures, and vendor decisions should leave evidence that can be examined later.
Recommended path
Start with the boundary, then go deeper
Use the first guide to establish the architecture and vocabulary for the topic.
Move into implementation details for the telemetry, data, cloud, or integration surface you own.
Turn the guidance into reviewable decisions, tests, and operating evidence for your team.
Search intent
Questions this collection answers
- How should PHI move through the system, and where should it never appear?
- Which vendors, services, and features need BAA and configuration review?
- What evidence proves access, backups, incidents, and controls are working?
08 field notes
Read the collection
- Responding to Suspected PHI Exposure
A practical engineering playbook for containment, evidence, access revocation, scope assessment, vendor escalation, recovery, and safer follow-up.
- Secrets and Encryption-Key Management for Healthcare Applications
A practical operating model for storing secrets, separating keys, rotating credentials, controlling access, and recovering encrypted healthcare workloads.
- Healthcare SaaS Tenant Isolation and Authorization
A practical guide to tenant isolation and authorization for healthcare SaaS, including identity, data, storage, queues, caches, background jobs, audit logs, emergency access, and isolation testing.
- Backup and Disaster Recovery for HIPAA Workloads
A practical guide to backup and disaster recovery for HIPAA workloads, including recovery objectives, immutable storage, provider controls, BAAs, PHI, and restoration testing.
- Using Amazon Macie for HIPAA Workloads: Finding PHI in Amazon S3
A practical architecture guide to using Amazon Macie to discover possible PHI in Amazon S3 while accounting for AWS BAA requirements, findings, remediation, and coverage limits.
- Using Healthcare Production Data in Development and Staging
A practical workflow for healthcare test data covering synthetic fixtures, de-identification limits, governed subsets, controlled debugging, access expiry, refreshes, backups, and verified deletion.
- HIPAA Vendor Checklist for Analytics and Monitoring Tools
A practical checklist for evaluating BAA scope, PHI data flow, subprocessors, retention, security, access, and incident obligations for analytics and monitoring vendors.
- Evaluating Healthcare AI Vendors Under HIPAA and BAA Constraints
A practical engineering framework for evaluating AI services that may create, receive, maintain, or transmit protected health information.
How I can help
Turn the guidance into a production plan
Architecture review
Map the system boundary, data flow, cloud services, deployment path, and operational risk.
Vendor and BAA stack review
Separate contract coverage from product configuration, enabled features, retention, and subprocessors.
PHI data-flow review
Identify where sensitive data can appear in storage, logs, analytics, AI tools, email, support, and exports.
Production readiness
Turn decisions into controls, tests, runbooks, monitoring, access reviews, and release evidence.
HIPAA-compliant app development · Healthcare cloud migration
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