Healthcare analytics covering population health management, clinical decision support, quality measures (eCQM, HEDIS, MIPS), de-identified analytics, research data lakes (OMOP CDM), outcomes analysis, and social determinants of health data.
Instalação
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Healthcare analytics covering population health management, clinical decision support, quality measures (eCQM, HEDIS, MIPS), de-identified analytics, research data lakes (OMOP CDM), outcomes analysis, and social determinants of health data.
allowed-tools
Read, Grep, Glob, Bash
Healthcare Analytics
When to use
Building risk stratification models or care gap identification pipelines
Implementing clinical decision support alerts and managing alert fatigue
Calculating eCQM, HEDIS, or MIPS quality measures
De-identifying PHI for analytics or research workloads
Setting up an OMOP CDM data lake or federated research environment
Incorporating SDOH data into care management workflows
Core principles
Risk models need clinical validation — HCC and LACE scores are starting points; tune thresholds against your actual population before driving care workflows
Override rate is your alert quality metric — any alert dismissed more than 90% of the time is noise; retire it or redesign it
Safe Harbor is a checklist, not a guarantee — removing 18 identifiers is necessary but not sufficient; verify residual re-identification risk before publishing data
OMOP CDM enables federation — standardize to OMOP once and run the same analytics across institutions without sharing patient-level data
SDOH belongs in the risk model — food insecurity and housing instability predict readmissions as reliably as clinical comorbidities
Reference Files
references/population-health-cds.md — risk stratification models (HCC, LACE, Charlson), care gap identification, disease registries, CDS alert types, alert fatigue management, order sets
references/quality-measures.md — eCQM with CQL and QRDA, HEDIS measure calculation, MIPS quality reporting and payment adjustments
references/deidentification-research-data.md — HIPAA Safe Harbor and Expert Determination, limited datasets and DUAs, OMOP CDM structure, data lake zone architecture, outcomes analysis methods
references/sdoh-data.md — SDOH categories, PRAPARE and AHC-HRSN screening tools, ICD-10 Z-codes, FHIR Observation storage, community resource referral integration