Modernizing Revenue Cycle Analytics: Connecting Epic Data to Databricks

Healthcare revenue cycle teams depend on timely, accurate data to understand claims, payments, denials, accounts receivable, reimbursement, and financial performance. However, revenue cycle data can be distributed across complex EHR environments, reporting databases, financial systems, and operational workflows. Turning that information into a reliable executive dashboard requires more than building visualizations—it requires a scalable data engineering architecture behind the dashboard

Dashboard: Executive Financial Dashboard

[IMAGE]

Data Engineering in EPIC Dimensions

Epic's platform contains extensive clinical, operational, and financial information. Epic supports multiple approaches for exchanging data, including FHIR APIs, HL7 interfaces, reporting databases, and other Epic-supported technologies. The appropriate integration method depends on the organization's use case, data requirements, security model, and approved architecture.

For a revenue cycle analytics initiative, the first step is identifying the specific data elements required to answer business questions.

Examples may include:

• Patient and encounter information

• Charges

• Claims

• Claim status

• Payments

• Adjustments

• Denials

• Payer information

• Account balances

• Dates of service

• Financial transactions

• Provider information

• Revenue-cycle work queues

  
  

The objective is not to move every available data element into Databricks. Instead, the engineering process begins by defining the business requirements and KPIs that the revenue cycle team needs to monitor.

Data Workflow

Governance and Security

Because healthcare analytics may involve protected health information, security and governance must be incorporated into the architecture from the beginning. Databricks provides security and compliance capabilities for healthcare workloads, including controls supporting HIPAA-regulated environments. Organizations remain responsible for configuring their environments appropriately and ensuring that required agreements, policies, access controls, and safeguards are in place.

Data governance can include role-based access, controlled data permissions, auditing, data classification, and centralized governance through technologies such as Unity Catalog.

Off The Clock

A visit to Pennsylvania doesn’t have to be limited to office space. The city offers plenty of opportunities to experience the local culture after the workday. Pennsylvania is deeply connected to American history. Depending on the city you’re visiting, you can explore historic districts, museums, landmarks, and cultural attractions. Philadelphia, for example, offers historic destinations including Independence Hall and the Liberty Bell