Job 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

Requirements

Must-haves

Our Client, an IT Services and Consultant company, is looking for a FHIR Clinical Data Quality SME / Clinical Data Analyst for their Remote location.
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.
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?
Referral Program
Excellent growth and advancement opportunities

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Platform: jobdiva
Effort: medium