Business Analyst

Key Responsibilities

• Review and analyze raw FHIR source data and transformed clinical records.
• Validate FHIR resource mappings, transformations, semantics, and normalization logic.
• Identify whether data quality issues originate from source systems or internal processing logic.
• Recommend scalable solutions that address root causes rather than implementing one-off data fixes.
• Collaborate with product and engineering teams to implement reusable business rules and validation frameworks.
• Support clinical data harmonization across EHR, HIE, QHIN, and other healthcare data sources.
• Analyze source payloads and trace records through ingestion, normalization, reconciliation, and end-user presentation layers.
• Design data quality controls and validation processes to improve data consistency and patient experience.
• Document findings, recommendations, business rules, and remediation strategies.

Primary Areas of Focus

Encounters / Visits

• Determine methods for distinguishing true patient visits from calls, messages, and other non-visit encounter types.
• Investigate encounter classification challenges, particularly within QHIN environments where reliable filtering signals may not exist.
• Define encounter reconciliation and categorization rules.

Diagnostic Reports

• Investigate incorrect, unknown, or inconsistent diagnostic report dates.
• Analyze duplicate and incorrectly assembled diagnostic reports.
• Establish data quality and standardization recommendations for report presentation.

Medications

• Identify root causes of duplicate medication records.
• Define medication reconciliation and deduplication strategies.
• Recommend scalable medication normalization solutions.

Conditions

• Review FHIR condition status and clinical date semantics.
• Improve condition classification logic used to distinguish active, current, and historical conditions.
• Validate condition lifecycle and status mapping approaches.

Dates and Clinical Event Timing

• Establish consistent date-selection and mapping rules across FHIR resources and source systems.
• Resolve discrepancies between displayed dates and underlying clinical event dates.
• Define date hierarchy and business rules for patient-facing presentation.

Migrated Encounters

• Investigate migrated encounter issues.
• Analyze data reconciliation challenges associated with encounter migrations.
• Recommend long-term mapping and harmonization approaches.

Procedures

• Address incorrect classification of laboratory activities and immunizations as procedures.
• Define source-aware business rules that preserve clinically accurate patient-facing experiences.
• Improve classification logic across clinical data domains.

Required Qualifications

• Strong hands-on expertise with FHIR R4.
• Experience with clinical data quality management.
• Experience with data normalization, harmonization, reconciliation, and deduplication.
• Experience working with EHR, HIE, QHIN, and healthcare interoperability platforms.
• Strong understanding of clinical terminology mappings and healthcare data standards.
• Experience analyzing source payloads and downstream data transformations.
• Ability to identify root causes across ingestion, mapping, transformation, and presentation layers.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Healthcare interoperability expertise.
• HL7 FHIR implementation experience.
• Clinical informatics experience.
• Clinical data governance and data quality management.
• Experience supporting patient-facing healthcare applications.
• Knowledge of terminology standards such as SNOMED CT, LOINC, RxNorm, and ICD coding systems.
• Experience working with healthcare product and engineering teams.

Top Skills

• FHIR R4.
• Clinical Data Quality & Harmonization.
• Data Normalization, Reconciliation & Deduplication.

Years of Experience

• 5+ Years of Experience.