Customer Story

Community Hospital Operator Automates EHR Data Ingestion for Faster Insights

What we did

Implemented a scalable solution for integrating healthcare data, automating ingestion from multiple EHRs to replace manual extracts and enable real-time analytics.

Transformed fragmented clinical data into structured, analytics-ready insights — reducing data processing time from weeks to minutes and updates from monthly to every four hours.

Industry

  • Healthcare

Technologies

  • Azure
  • ·
  • Databricks

The Problem

As a growing community hospital operator, this organization needed a faster, more reliable way to aggregate and analyze data from its hospital network affiliates. Patient data was locked in multiple EHR systems — primarily Epic and Oracle Health (Cerner) — and was only accessible through manual monthly extracts sent over secure FTP. These CSV files required extensive processing and often resulted in delays, errors, and missing data, limiting the organization’s ability to track key operational and clinical metrics.

Leaders struggled with incomplete visibility into critical healthcare trends such as medication waste, patient transfer patterns, and hospital capacity utilization. The time between refreshed insights made it difficult to optimize hospital operations, meet regulatory reporting requirements, and improve patient care. The organization needed an automated, scalable solution that could standardize EHR data ingestion and deliver timely, actionable insights.

The Solution & Results

To automate EHR data ingestion and improve operational efficiency, Analytics8 delivered a scalable, healthcare-focused solution using Fast Healthcare Interoperability Resources (FHIR®):

  • Automated bulk ingestion of EHR data in Databricks, implementing EHRapid Connect, a unified solution for integrating healthcare data, ensuring seamless data exchange and interoperability. This HIPAA-compliant solution replaces slow, manual CSV extracts with FHIR API-driven updates. Running on Azure, it reduced data processing time from weeks to minutes and now delivers fresh data every four hours instead of once a month.
  • Standardized patient data across hospitals in Databricks, unifying disparate EHR formats into a centralized, structured model. This allowed hospital executives to compare key operational metrics, including patient admissions, transfer trends, and medication waste, across multiple facilities.
  • Enabled seamless expansion across hospital network affiliates, creating a repeatable framework that allows new hospitals and new FHIR resources to be onboarded in weeks instead of months — scaling analytics capabilities as the organization grows.
  • Reduced manual effort and improved efficiency, eliminating thousands of hours spent processing and consolidating EHR data. Instead of manual data management, IT and data teams can focus on strategic analysis to improve operational efficiency and enhanced patient care.

With this solution in place, the organization can now securely aggregate and analyze healthcare data in near real-time, improve hospital efficiency, and enhance patient outcomes through data-driven decision-making.To automate EHR data ingestion and improve operational efficiency, Analytics8 delivered a scalable, healthcare-focused solution using Fast Healthcare Interoperability Resources (FHIR®):

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