Vibe Code Cleanup for Healthcare

Why AI Generators Produce Non-Compliant HIPAA Code

AI code generators are trained on public repositories. Public repositories don’t contain real HIPAA-compliant healthcare code - that code lives behind firewalls and NDAs. So when you ask an AI to build a patient portal or telehealth feature, you get code that looks right but isn’t.

The patterns are predictable. The AI generates a user model that stores patient data the same way it would store any user profile. No field-level encryption. No distinction between PHI and non-PHI data. Error handlers that dump full request payloads - including patient names, dates of birth, and medical record numbers - into log files. API responses that return more patient data than the requesting user is authorized to see.

EHR integrations are particularly dangerous. AI-generated FHIR or HL7 code often handles the happy path but breaks on edge cases. Malformed messages get swallowed silently. Connection timeouts don’t trigger retries. And there’s rarely any reconciliation to verify that data actually arrived at its destination. In healthcare, a silently dropped lab result isn’t a bug - it’s a patient safety issue.

The worst part is that these problems aren’t obvious. The app works. Patients can log in, schedule appointments, view their records. Everything looks fine until an auditor traces how PHI actually flows through your system.

PHI Leaks, Encryption Gaps, and Broken Access Controls

We focus on the compliance gaps that AI tools consistently get wrong in healthcare codebases.

PHI in places it shouldn’t be. We audit every log statement, error handler, API response, and third-party integration for PHI exposure. AI-generated code routinely logs full patient objects, includes PHI in error tracking services like Sentry, and sends diagnostic data to analytics platforms without redaction. We find every instance and fix it.

Inconsistent encryption. AI tools often encrypt some data paths but not others. The database might be encrypted at rest, but temporary files aren’t. API calls to the EHR use TLS, but internal service-to-service calls don’t. We map every data path and ensure encryption is consistent end to end.

Broken access controls. AI-generated authorization logic tends to be coarse-grained. A nurse can see every patient’s records, not just their assigned patients. An admin endpoint has no authentication at all because the AI forgot to add middleware. We implement proper role-based access controls and verify them with automated tests.

Fragile EHR integrations. We stabilize connections to Epic, Cerner, and other EHR systems. That means proper error handling, retry logic with exponential backoff, message validation, and reconciliation checks that alert your team when data doesn’t arrive as expected.

Mapping Patient Data Flows and Fixing by Risk

We don’t guess where the problems are. We trace them.

First, we map every PHI data flow in your application. Where does patient data enter? Where is it stored? Where is it displayed, transmitted, or logged? This produces a complete data flow diagram that most healthcare startups don’t have - and that auditors will ask for.

Then we prioritize by risk. PHI exposure in external services gets fixed immediately. Encryption gaps come next. Access control issues follow. EHR integration reliability comes after that. We ship fixes incrementally behind feature flags so your application stays available throughout the cleanup.

Every fix gets a corresponding automated test. PHI redaction tests verify that patient data never appears in logs. Encryption tests confirm that sensitive fields are encrypted before storage. Access control tests verify that users can only see data they’re authorized to see. These tests run on every commit, so the problems don’t come back.

We work with your existing infrastructure. Whether you’re on AWS, GCP, or Azure, we use the platform’s native encryption and access management services. No unnecessary vendor lock-in. No replacing your entire stack.

Ready for Compliance Reviews and Partner Audits

You get a healthcare application that can survive a compliance review. PHI is encrypted everywhere it needs to be. Logs are clean. Access controls are tight and tested. EHR integrations are reliable and monitored.

More importantly, you get the documentation and test coverage to prove it. When a potential hospital partner asks how you handle PHI, you have a data flow diagram and automated compliance tests to show them. When an auditor asks about access controls, you can demonstrate the test suite that verifies them on every deployment.

Your team can ship new features without reintroducing compliance gaps. The automated checks we install catch PHI exposure, encryption omissions, and access control mistakes before they reach production. You move fast without the regulatory risk that comes from AI-generated healthcare code.