An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.

Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.

End-to-end SQL analytics sample for healthcare claims and quality monitoring — data quality, KPI rollups, readmission analysis, provider benchmarking, and a weighted quality-review priority score. SQLite-compatible, self-contained.

Detection of abnormal delivery patterns and potential obstetric claim anomalies using JKN administrative claims data.

Using Power BI to analyze outpatient claims data to find out the high utilizers and the economic impact

Healthcare machine learning research portfolio focused on predictive modeling, Medicare claims analytics, and healthcare cost prediction using CMS data.

HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt models, 83 tests, CI green.

Impact Analysis of the Policy for Access of Administrative Data in France : A Beforefter Study. Vincent LOOTEN and Marie SIMON Digital Personalized Health and Medicine L.B. Pape-Haugaard et al. (Eds.) © 2020 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distri…

Python toolkit for cleaning and feature engineering Japanese health insurance claims data.

SQL-first healthcare claims analytics project that maps ICD/CPT/NPI to provider cost variation and generates client-ready utilization insights.

CMS Price Transparency Rule compliance delivered via HealthSparq integration. Personalized cost estimates powered by real-time claims data across web and mobile.

SQL-based analytic warehouse that converts administrative health insurance claims into patient episodes, referral patterns, and utilization indicators.

R toolkit for HCUP National Inpatient Sample (NIS) research: era-aware data loading, ICD/CCSR/PQI condition flagging, Elixhauser comorbidities, survey-correct estimation, and DUA-compliant outputs

Excel healthcare spend & utilization dashboard (Power Query + Power Pivot) using synthetic claims data (2019–2024).

SQL analysis of synthetic healthcare claims data (Synthea): payer mix, cost & utilization, high-cost cohorts, and claim-line charges.

A reference Python notebook demonstrating an orchestration pattern for running multiple SQL queries against multiple Oracle databases, combining results in different ways per query, and distributing the outputs by email — all wrapped in resilient error handling so a single database outage doesn't break the run.

End-to-end value-based care analytics system: SQL provider scoring model, Python ROI simulation for patient steering, KPI tracking, and Tableau dashboard specs built on 50K synthetic claims across 80 providers.

CMS APIs.json profile