FHIR Clinical Data Quality SME / Clinical Data Analyst

Iconma LLC

  • NJ
  • 4 days ago

    Highlights

    Responsibilities: Encounters/Visits: Determine how to distinguish true visits from calls/messages and other non-visit encounters, particularly for QHIN, where there isn't a reliable filtering signal. Dates: Establish consistent date-selection/mapping rules across FHIR resources and sources, including cases where displayed dates differ from the underlying clinical event.

    Numbers & Facts

    LocationNJ

    Description

    Our Client, an IT Services and Consultant company, is looking for a FHIR Clinical Data Quality SME / Clinical Data Analyst for their Remote location.

    Responsibilities:

    • Encounters/Visits: Determine how to distinguish true visits from calls/messages and other non-visit encounters, particularly for QHIN, where there isn't a reliable filtering signal.
    • Diagnostic Reports: Investigate incorrect/unknown dates and duplicate or incorrectly assembled diagnostic reports.
    • Medications: Identify causes of duplicate medication records and define appropriate deduplication/reconciliation logic.
    • Conditions: Review FHIR status/date semantics and correct the logic that classifies conditions as current vs. historical.
    • Dates: Establish consistent date-selection/mapping rules across FHIR resources and sources, including cases where displayed dates differ from the underlying clinical event.
    • Migrated encounters: Review the migrated-encounter issue Sonny reported and determine the appropriate reconciliation/mapping approach.
    • Procedures: Address misclassification of labs/immunizations as procedures and define source-aware rules that preserve clinically correct pa4ent-facing presenta4on.

    Requirements:

    • Strong hands-on knowledge of FHIR R4
    • Experience with clinical data quality, terminology/mapping, normalization, reconciliation, and de-duplication across EHR/HIE/QHIN sources.
    • Ability to analyze source payloads and trace records through ingestion/harmonization to the consumer experience.
    • Comfortable partnering with product and engineering teams to translate findings into reusable rules, validation checks, and longer-term data-quality improvements.
    • Years of Experience: 5.00 Years of Experience

    Why Should You Apply?

    • Health Benefits
    • Referral Program
    • Excellent growth and advancement opportunities

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