Solving EHR Integration Challenges: Quality Data Extraction and Visualization with HDIM

Details

This article describes how the HDIM solution integrates with various EHR platforms (Epic, Cerner/Oracle Health, InterSystems HealthShare, etc.) to extract high-quality information from Clinical Data Repositories (CDR). HDIM operates within the customer's trust boundary, utilizing FHIR resources and CQL measures on existing data such as encounters, conditions, and observations. This process makes visible information that exists but is not recognized as a care gap. For large systems like Epic or Cerner, simply exposing data via FHIR R4 does not tell a provider which patients have open care gaps. HDIM deploys alongside these platforms to synthesize this data into actionable quality intelligence. It supports diverse connections, including FHIR R4 APIs and HL7 v2 feeds, enabling an automated quality measurement pipeline for metrics like HEDIS. This approach provides an efficient means of quality improvement for large healthcare organizations or community systems where data is highly dispersed. The system also includes features like 'Hermes' to manage complex integration processes, including onboarding, remediation, and cutover with strict governance and audit trails.