Your Healthcare Integration Is Only as Good as Its Data Mapping Decisions
Ask anyone who has sat through a failed healthcare integration what went wrong, and the answer almost never traces back to the interface engine or the network layer. It traces back to data mapping decisions made too early, with too little information, and never revisited until something broke in production.
Having watched enough of these projects unfold, the pattern is consistent enough to write down. Here's what actually holds up once real patient data starts flowing between systems.
Map the Exceptions Before You Map the Rule
Most mapping specifications get written around the clean, typical case. A lab result has a value, a unit, and a reference range, so that's what gets mapped first. The exceptions, a result with no numeric value because the test was cancelled, a unit that doesn't exist in the target system's value set, a reference range that varies by patient age, get treated as edge...
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