Business Analyst Healthcare

Hello,

Hope you are doing well,

Myself Mankar from Photon and I have a position with our direct client, please send me your updated resume if you are interested.

Business Analyst Healthcare Interoperability & Health100 Platform

Plano TX - Onsite

Role Overview

We are seeking a Senior Healthcare Business Analyst to join our Digital Technology division, driving key data exchange initiatives for Health100 our AI-native healthcare engagement platform and ecosystem.

We need a FHIR/clinical data SME to help the Health Records team inves4gate and remediate recurring data-quality and harmoniza4on issues across mul4ple sources. The resource(s) should be able to review raw/source FHIR and transformed records, validate mappings and resource semantics, identify whether issues originate at the source or in our normalization/display logic, and recommend scalable fixes rather than one-off filters.

Key areas of focus:

1. 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.
2. Diagnostic Reports: Investigate incorrect/unknown dates and duplicate or incorrectly assembled diagnostic reports.
3. Medications: Identify causes of duplicate medication records and define appropriate de-duplication/reconciliation logic.
4. Conditions: Review FHIR statdate semantics and correct the logic that classifies conditions as current vs. historical.
5. Dates: Establish consistent date-selection/mapping rules across FHIR resources and sources, including cases where displayed dates differ from the underlying clinical event.
6. Migrated encounters: Review the migrated-encounter issue Sonny reported and determine the appropriate reconciliation/mapping approach.
7. Procedures: Address misclassifica4on of labs/immuniza4ons as procedures and define source-aware rules that preserve clinically correct patient-facing presentation.

Resource profile:

• 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