How would you validate the accuracy of a new telemetry integration before go-live?

• A. Run only unit tests on individual components.
• B. Perform functional, integration, and end-to-end testing; verify data mappings to HL7/FHIR; simulate real-world patient data; run user acceptance testing.
• C. Deploy directly to production and monitor for issues.
• D. Rely on vendor documentation alone.

Answer: (B)

Validating a telemetry integration before go-live requires thorough, multi-layer testing that covers the entire data path and how it will be used in practice. Start by confirming functional behavior of each component—sensor interface, data processor, and any transformation or routing logic. Then move to integration testing to ensure these pieces communicate correctly, exchanging the right messages and producing the expected outputs. End-to-end testing is essential to replicate real workflows from device input through to the clinical or EHR/PHR display, verifying timing, sequencing, completeness, and fault handling along the way. Verifying data mappings to HL7 or FHIR is crucial to preserve the exact meaning of measurements, timestamps, patient identifiers, units, and other critical fields so they are interoperable with downstream systems. Simulating real-world patient data, including edge cases and anomalies, helps check robustness under variability encountered in clinical settings. Finally, user acceptance testing brings in clinical users to confirm the integration fits actual workflows and requirements before going live. Relying only on unit tests, deploying directly to production, or depending solely on vendor documentation does not provide the comprehensive validation needed for safe, reliable operation.