Case Study: a community hospital operator achieves near-real-time EHR insights with Analytics8

Community Hospital Operator cuts EHR data processing from weeks to minutes with Analytics8

A community hospital operator faced significant challenges with its fragmented and manual process for aggregating patient data from multiple EHR systems, primarily Epic and Oracle Health (Cerner). Relying on monthly CSV extracts sent via secure FTP, the process was slow, error-prone, and resulted in a lack of timely insights for tracking key operational and clinical metrics. To overcome this, they partnered with Analytics8 to find an automated and scalable solution.

Analytics8 implemented a healthcare-focused solution using FHIR APIs and EHRapid Connect on Azure and Databricks. This automated the bulk ingestion of EHR data, replacing manual extracts with updates every four hours and reducing data processing time from weeks to minutes. The solution standardized patient data across hospitals, enabling real-time analytics and comparison of key metrics. Analytics8's implementation eliminated thousands of hours of manual effort, allowing the organization to improve operational efficiency and enhance patient care through data-driven decisions.