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Unified Data Integration and Analytics Platform for Healthcare Network Optimization
  1. case
  2. Unified Data Integration and Analytics Platform for Healthcare Network Optimization

Unified Data Integration and Analytics Platform for Healthcare Network Optimization

trigent.com
Medical
Business services

Challenges Faced by Multi-Clinic Healthcare Networks

The healthcare network comprises numerous clinics utilizing different EHR and PMS solutions with inconsistent data standards, including varied service codes, diagnosis IDs, and data fields. Legacy systems are hosted on local SQL servers, resulting in scattered data flow and limited visibility into operational performance. This fragmentation hampers analytics, timely reporting, and strategic decision-making across the organization.

About the Client

A large healthcare provider network operating multiple clinics with diverse electronic health record (EHR) and practice management system (PMS) applications, seeking to enhance operational visibility and decision-making through integrated data analytics.

Goals for Data Integration and Operational Visibility Enhancement

  • Integrate disparate clinic data into a unified format across a centralized platform to standardize reporting.
  • Automate the extraction and translation of report data from multiple Legacy and current systems to ensure accurate, consistent, and timely data availability.
  • Create an analytics dashboard providing real-time visualization of key performance indicators (KPIs) for individual clinics and the network as a whole.
  • Implement scalable cloud-based data storage for improved flexibility and expansion capacity.
  • Automate over 150 actions per clinic to save time, reduce resource consumption, and lower operational costs.
  • Enable secure data handling and compliance with healthcare data privacy standards.

Core Functional Specifications for Data Consolidation and Analytics

  • Automated bots to extract reports and data from various clinic systems (e.g., EHR, PMS applications).
  • Custom ETL workflows to transform and standardize data from heterogeneous sources into a centralized data mart.
  • Data translation mechanisms to convert different service codes, diagnosis IDs, and data fields into a common nomenclature.
  • Development of a centralized data repository leveraging cloud technology for scalability and security.
  • Real-time dashboards with interactive data visualization for monitoring clinic performance KPIs.
  • Automated reporting tools to generate scheduled and ad hoc reports for strategic decision-making.

Preferred Technologies and Architectural Approaches

ETL platforms for data orchestration
Robotic Process Automation (RPA) tools for report extraction
Cloud data storage solutions (e.g., cloud databases or data lakes)
Data visualization and dashboard tools

Essential System Integrations for Data and Reporting

  • Multiple EHR systems and PMS solutions used across clinics
  • Legacy SQL databases for data extraction
  • Reporting formats and report generation tools used within clinics

Critical Non-Functional System Requirements

  • Scalable infrastructure supporting increasing data volume and number of clinics
  • High data security standards to protect sensitive healthcare information
  • Performance benchmarks ensuring reports are generated within defined timeframes
  • System availability and reliability for continuous operation
  • Compliance with healthcare data privacy regulations

Anticipated Business Benefits and Impact of the Data Automation Initiative

The implementation of a unified data integration and analytics platform is expected to significantly improve operational visibility, enabling leadership to make informed strategic decisions. Automation of data extraction and reporting processes should result in time savings of over 150 actions per clinic, reduce operational costs, and enhance data accuracy. Real-time dashboards will facilitate proactive management, optimize resource allocation, and support cost-effective healthcare service delivery.

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