Enterprise information management & strategy
Optimizing and advancing data architecture, infrastructure and analytics
Advanced analytics on integrated and innovative data are Geisinger trademarks. Data collection and dissemination has become increasingly important for Geisinger as the volume, complexity, diversity and timeliness of Geisinger data is rapidly increasing. The next generation of healthcare data and analytics requires expansion and evolution of a data architecture to meet organizational needs. Outlined as part of an overall enterprise data strategy for Geisinger, decisions and investments are made based on the guiding principles of Geisinger data, reporting and analytic environments, including continual evolution of a Geisinger unified data architecture. The unified data architecture (UDA) is founded on strategy that accounts for the needs of the organization and ensures cost optimization and enterprise grade, secure data. Oversight is provided through enterprise information management (EIM), which drives the enterprise strategic direction and manages a high functioning, world class analytic architecture and service department.
The UDA serves as an enterprise-wide analytic architecture to enable delivery of credible and actionable analytic products consisting of cleansed and normalized data stored in a common database at the most granular level. This allows for an effectively unlimited number of reporting, analysis and application roles. Geisinger is actively engaged in the continued evolution of the UDA into a modern data architecture that incorporates existing elements with big data for agile data discovery, expansion of real-time capabilities and increased governance across multiple data types and sources.
Key values of the UDA provide a foundation for advancement of a unified data architecture:
- Trusted data and tools to enable informed decision making
- Integrate disparate data sources including clinical, financial and claims data. This provides business leaders and care teams with a comprehensive view of patient records to understand total cost of care and make informed business and clinical decisions.
- Innovative use of our clinical data through feedback loops with EHR to improve data quality, refine decision clinical decision support and ensure informed clinical care.
A centralized EIM team is responsible to:
- Provide training and support of distributed analyst team embedded in operations.
- Provide data fit for consumption and promote a consistent understanding of the meaning and context of data.
- Understand the needs of the enterprise, its stakeholders and patients and meet those needs while also reducing costs through efficient management of data and analytics.
- Improve the quality, accuracy, integration and availability of our data while also ensuring data security and appropriate use.
- Maintain an analytics center of excellence built on data governance, solutions, and management.
- Provide analytic solutions to the Geisinger enterprise enabling informed clinical and business decision making.
Under the Hood:
Challenge: Given the highly-wired nature of Geisinger and the increased investment in new technologies, data collection and dissemination has become increasingly important and challenging. The volume, complexity, diversity and timeliness of data are changing rapidly as is the need for Geisinger to use data as an asset to improve care and make data-driven business decisions. Meeting this need requires increased storage and agile, flexible ways to ingest, transform and produce data available for consumption.
- Single source of truth for data. Data is collected from various clinical, claims, financial and operational applications throughout the organization and is made available in the UDA as trusted "single source of truth" for enterprise analytic needs.
- Accurate and enterprise-grade data. The UDA platform supports effective business processes and informed decision making by making available accurate data that has been normalized, standardized and cleansed. The UDA is comprised of multiple data sources from clinical to utilization data that allow for integration and enrichment, which are made available for consumption across the organization.
- Empowered data consumers and end-users. Using a combination of the UDA's robust business intelligence tools and varying degrees of analytic techniques, people across the organization are given the power to use data to answer questions and solve problems. Analytic libraries and business glossaries together provide a comprehensive resource to empower the workforce and users of analytics under a common understanding.
- Visualization of data through an integrated platform. Interactive business intelligence analytics, including multiple dashboards, are available for users to consume data. These dashboards allow for linkages across multiple data sources with the dedicated EIM team actively pursuing improved visualization tools and leveraging new technologies and methods for consumers of the data.