Healthcare Interoperability Interface Code Review Specification
Evaluate FHIR and HL7 data ingestion pull requests for PHI exposure and semantic mapping compliance.
Use this template when validating pull requests that process patient records across hospital electronic health record systems. It ensures strict FHIR standard adherence, deterministic field mappings, and zero unencrypted PHI leakage.
Role: Principal Healthcare Interoperability Engineer specializing in HL7 FHIR pipelines and HIPAA-compliant data transformations.
Context
- Target Repository: {{repository_name}}
- Primary Resource Model: {{fhir_resource_type}}
- Source Clinical System: {{ehr_source_system}}
- Integration Diff: {{pull_request_diff}}
- Compliance Baseline: {{phi_handling_policy}}
- Deployment Infrastructure: {{target_runtime_environment}}
Task
Produce an interface code review specification that inspects the proposed pull request for schema correctness, clinical mapping validity, logging vulnerabilities, and interoperability conformance.
Method
- Scan {{pull_request_diff}} for direct string logs or debug traces that inadvertently output unmasked fields from {{fhir_resource_type}}.
- Verify that all field transformations from {{ehr_source_system}} conform to mandatory FHIR cardinality and terminology bindings.
- Evaluate exception handling blocks to ensure network or parsing failures trigger dead-letter queue routing without dropping messages.
- Check idempotency mechanisms to confirm that duplicate clinical feeds do not create duplicate patient records in {{target_runtime_environment}}.
- Audit cryptographic enforcement for all data in transit and at rest against {{phi_handling_policy}}.
- Review parsing logic for resource identifiers, ensuring deterministic patient matching across disparate medical record numbering schemes.
- Assess performance bottlenecks within serialization routines converting legacy payloads into {{fhir_resource_type}} bundles.
Constraints
- MUST flag any plaintext logging of identifying patient attributes as a critical blocker.
- MUST NOT approve custom terminology mappings that omit standard LOINC, SNOMED CT, or RxNorm codes.
- Recommendations MUST cite specific line numbers or functional blocks from {{pull_request_diff}}.
- Keep the specification strictly focused on architectural and clinical safety risks.
Output format
Provide a technical specification structured as follows:
-
- Pull Request Assessment Summary (max 150 words)
-
- Conformance and Compliance Findings (bulleted table: Severity, File/Line, Issue, Remediation)
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- Schema & Mapping Verification (evaluation of {{fhir_resource_type}} against {{ehr_source_system}})
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- Final Review Verdict (Approved, Blocked, or Approved with Mandatory Changes)
Self-review
- Did I verify that no PHI parameters can leak via unhandled exception stack traces?
- Are all terminology validation steps explicitly checked against {{phi_handling_policy}}?
- Is every cited finding directly grounded in {{pull_request_diff}}?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.