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Analytics Engine and Decision Support System for Population Health Management

About Project:

Re-architected and developed a population health analytics engine that aggregates and analyzes clinical patient information derived from claims, lab and EMR data against established clinical best practices to optimize quality of care, population health and wellness. Optimized system to scale to 40 million covered lives, 1200+ health monitored events and 9000+ clinical rules.

Technology used

Five tier architecture, including ETL processing of EMR, claims and lab data, data warehouse, clinical rules engine, enterprise web services, java and .net applications and web and mobile interfaces.

Posted on:

January 6, 2014