Health software handles some of the most sensitive data there is. Mesrai reviews every pull request for exposure of patient data and missing access checks, and enforces your safeguards as rules.
Healthcare engineering teams use AI code review to protect patient data in every change: Mesrai flags protected health information written to logs or error messages, endpoints that expose records without checking the caller's access, missing audit logging and unencrypted sensitive fields. Teams encode their HIPAA safeguards as rules and memories, and can self-host Mesrai with their own model provider to keep data under their control.
PHI leaks quietly — through a debug log, an error message, an analytics event or a verbose API response.
Access rules are complex: patients, clinicians, care teams and admins see different records.
Audit requirements mean every access and change to health data must be traceable.
Using AI tools is itself a data question: where does the code, and any data in it, go?
Flags personal and health data in logs, errors, analytics and API responses.
Finds endpoints that return records without checking the caller's relationship to the patient.
Encode audit logging, encryption-at-rest and minimum-necessary rules from the compliance recipe at Critical severity.
Self-host on Enterprise and use your own model provider; your code is never used for training.
Illustrative examples of the kind of change healthcare teams make every week, and the review comment Mesrai would post.
A developer improves error reporting in an appointment service.
} catch (err) {
logger.error("booking failed", { patient, err });
}The patient object includes name, date of birth and diagnosis codes, which would be written to your log provider. Log patient.id and the error only.
Result: PHI stays out of systems that aren't covered for it.
An endpoint returns a patient's lab results to any clinician in the organization.
Rule 'Minimum necessary access': results are returned to any user with role clinician. Check the clinician is on the patient's care team (careTeam.includes(req.user.id)) before returning results.
Result: Access follows the minimum-necessary principle, enforced in code review.
Start from the compliance-review recipe (SOC 2, HIPAA) in the docs.
Decide deployment: self-hosted for full control, plus your own model provider.
Teach Mesrai what counts as PHI in your system with an organization memory.
Add Critical rules for logging, audit trails, encryption and access checks on clinical paths.
Route Critical findings on those paths to a security reviewer.
@mesrai remember: PHI includes patient name, date of birth,
address, phone, email, MRN, diagnosis and procedure codes,
lab results and clinical notes. PHI must never appear in
logs, error messages, analytics events or URLs.PHI kept out of logs, errors and analytics
Access checks reviewed on every clinical endpoint
Audit and encryption requirements enforced
AI review deployed under your own data controls
HIPAA compliance depends on how a tool is deployed and the agreements in place. For full control, self-host Mesrai on the Enterprise plan and use a model provider covered by your agreements. Talk to us about your requirements.
Yes. It flags patient and personal data written to logs, error messages, analytics events and API responses — especially once you teach it what counts as PHI in your system.
No. Your code is never used for training, and with BYOK model requests go to the provider you choose.
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