Concerned about the time and resources needed to ingest and aggregate direct clinical feeds from multiple sources, a large payvider (payer-provider partnership) deployed CareEvolution’s APIs, including the Convert API, to ingest, aggregate, and enrich patient data from various sources to produce a comprehensive, up-to-date patient record. Providers and members now have ‘real-time’ access to lab and imaging reports, medication details, claims, and clinical encounter information in their workflow. Analytically ready data streamlines performance improvement efforts and reporting. The platform also facilitates real-time acute and post-acute care tracking, generating FHIR notifications to alert the care management team upon admission or discharge to drive more efficient care coordination.

A well-known national health plan adopted CareEvolution’s APIs to create consolidated and enriched master patient records for its 46+ million members, connecting over 2,800 providers, 240 data sources and 7.5 billion claims. The organization successfully leverages the platform for AI, machine learning, risk adjustment, quality program development, care management, member engagement, collaboration across benefit offerings, and clinical trials.

This health tech company ingests large volumes of patient records from over 600,000 providers, with individual files averaging 500 pages and often spanning 30 or more CDA documents, sometimes reaching as high as 700 CDAs. To streamline the aggregation and eliminate redundant content, they adopted the Convert API. By using the Convert API, they dramatically reduced file sizes and page counts while maintaining data integrity. For instance, one patient’s medical record, originally 7,342 pages, was consolidated into a single, de-duplicated 600-page PDF. This transformation optimized workflows, improved usability, and significantly enhanced document management efficiency.

Built to serve multiple patient data use cases across operational departments, this health technology company focuses solely on creating a rich network of patient data for multiple purposes across numerous markets. They needed a partner with a highly scalable API that could take multiple patient records, harmonize them, normalize code sets and medications, and make them available in multiple output formats from FHIR, CDA, to OMOP. It was also critical that their partner offer modern “software” SaaS pricing vs high historical costs associated with manual processes. They sought to eliminate costs and enable mass adoption of harmonized, cleansed patient data.