Technical safeguards, AWS architecture patterns, and code templates for building HIPAA-compliant healthcare software that handles Protected Health Information (PHI).
npx clawhub@latest install hipaaHIPAA Compliance is a skill that embeds a senior healthcare software architect into your AI assistant. It proactively identifies PHI risks, generates production-ready compliant code, and enforces AWS Security Rule technical safeguards — covering everything from infrastructure provisioning to API design and audit logging. Essential for founders and engineers building in the healthcare or digital health space.
npx clawhub@latest install hipaaClick the Install button at the top of this page for one-click setup
Automatically applies all 18 HIPAA PHI identifiers to flag when health data combined with any identifier becomes regulated. Covers names, SSNs, IP addresses, dates, device IDs, and more.
Provides Terraform code for HIPAA-eligible VPC architecture, KMS key policies, encrypted RDS instances, and S3 bucket configurations with public access blocking and versioning enabled.
Generates Python audit log patterns that capture user, action, resource type, and resource ID — without ever including PHI values in log entries. Includes error message sanitization utilities.
Implements role-based PHI access matrices (attending physician, billing staff, IT admin, researcher) with Python decorator enforcement at the API layer before data retrieval.
Produces de-identification utilities for dev and test environments using deterministic tokenization to preserve referential integrity while suppressing all 18 PHI identifiers.
Tracks required Business Associate Agreements for AWS services and third-party vendors (Auth0, Datadog, Sentry, SendGrid, etc.) and provides staged launch gates for founders approaching their first covered entity pilot.
A founder building a patient scheduling or telehealth platform gets a complete AWS architecture diagram, Terraform baseline, and BAA checklist before writing a single line of application code.
A backend engineer implementing a FHIR R4 Patient endpoint gets OAuth 2.0 scope enforcement, rate limiting configuration, minimum necessary field filtering, and audit logging wired together in a FastAPI example.
A developer submits a pull request touching a patient data path and uses the skill's code review checklist to verify no PHI appears in logs, error messages, URL parameters, S3 keys, or environment variables.
An engineering team needs realistic test data without using real patient records. The skill generates a Safe Harbor de-identification pipeline that replaces all identifiers while preserving foreign key relationships.
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