Homa health

Initial engagement phase covering stakeholder interviews, competitive analysis of health tech platforms, HMW (How Might We) activities, affinity diagrams, user journey mapping.

✓ Competitive landscape, HMW artifacts, user journey maps, and information architecture defining the product's onboarding, dashboard, AI insights.

End-to-end UX design of onboarding flows, workflow management, task management flows, and playbook edit flows — iterated extensively based on stakeholder feedback.

✓ Wireframes and high-fidelity prototype covering onboarding, workflow, task management, playbook editor, and document management modules.

High-fidelity design of report tabs including KPIs, rates, tables, and analytics dashboards.

✓ Fully prototyped high-fidelity report suite with KPI widgets, rate tables, and contract view designed for health plan analytics consumers.

Core healthcare data engineering work — ingesting raw FHIR-format claims data (medical, Rx, census) from multiple employer groups and converting it into the OMOP CDM standard in both dev and prod environments.

✓ Multi-group FHIR→OMOP ingestion pipeline operational for Hero Health and DCC employer groups covering medical, Rx, and census data streams.

Systematic transformation of ingested claims data — applying business rules, date filters, episode-of-care logic, stop-loss aggregation, waste calculation.

✓ Validated transformation pipeline with cost reconciliation logic across all employer groups, with configurable date filters, rules engine.

Development of a multi-dimensional spending analysis framework covering surge-in-spending, emerging-spending, and top-spending analyses across employer health groups, with cohort tagging, MongoDB persistence.

✓ Modular claims analysis framework with three spending analysis types, dynamic time periods, cohort classification (Med/Rx).

Design and implementation of a comprehensive KPI library (19+ KPIs) covering clinical and financial health metrics — including NYU-ED algorithm, ICD-level coding, chronic disease cohorts.

✓ 19+ health KPIs with parameterized UIDs, master/default list schemas, dynamic time period support, Rx edge-case handling.

Development of multi-dimensional patient cohort filters across chronic diseases, facilities, procedures, drugs (NDC/RxNorm), demographics.

✓ Six-dimension cohort engine (diseases, facilities, procedures, drugs, demographics, providers) with null-value handling, test coverage.