Deep healthcare expertise from data foundation to decision support.
Careplots combines healthcare domain expertise, data engineering, advanced analytics and research methods to support complex public- and private-sector healthcare initiatives.
Healthcare Data Engineering
End-to-end data collection, ingestion, validation, standardization, quality management, integration, linkage and enrichment.
ClaimsClinical / HIEProviderSurveyRegistriesOpen data
Data Platforms & Infrastructure
Architecture and operations for data lakes, warehouses, submission pipelines, research repositories and scalable cloud analytics environments.
APCDData lakesWarehousesDataOpsDevOps
AI, Machine Learning & Advanced Analytics
Predictive models, semantic matching, entity resolution, NLP/LLM workflows, anomaly detection, peer benchmarking and explainable risk analytics.
Healthcare Analytics & Real-World Evidence
Health economics, utilization, cost, access, quality, outcomes, disparities, provider performance, population health and value-based care analytics.
Research, Evaluation & Policy Support
Principal-investigator-level methodology and quantitative research supporting evidence building, model evaluation, program performance and policy development.
Secure Research & Analytics Environments
Experience designing and operating controlled environments and workflows for sensitive data, including FISMA/FedRAMP-aligned research infrastructure and CMS secure data environments.
We understand the data before we model it.
Careplots’ work spans CMS and state administrative data, commercial real-world data, clinical exchange data and complex ancillary sources.
Medicare & Medicaid
CMS VRDC/CCW, Medicare FFS, Medicare Advantage encounters, Medicaid T-MSIS/TAF and state Medicaid data.
Commercial & Multi-Payer
APCDs, national commercial claims repositories and multi-payer analytic data systems.
Clinical & Community Data
HIE/EMR feeds, provider organizations, behavioral health networks, billing data and ancillary sources.