An enterprise data management platform anchors St. Luke’s Insights
St. Luke's embraced next-level data and analytics to create a "single source of truth" to improve clinical quality, build market share, and succeed with reimbursement models.
ibi, a TIBCO company, data and analytics platform
St. Luke’s University Health Network is a non-profit, regional, fully integrated, and nationally recognized network.
As a successful, data-driven organization in a rapidly changing industry, St. Luke’s wanted to take its data management and analytics capabilities to the next level. This far-reaching project’s stakeholders leveraged ibi’s data platform to create Insights, a comprehensive healthcare enterprise data warehouse (EDW) and business intelligence (BI) platform to support an extensive suite of reporting and analytics applications. Its analytics and business intelligence (BI) team engaged senior executives to establish requirements, goals, and priorities for its new BI and enterprise data warehouse (EDW) initiative.
The program’s goals were to develop a clean, efficient, and easy-to-access “single source of truth” for stakeholders across the network and partner with those stakeholders to improve clinical quality, build market share, and succeed under value-based reimbursement models. The entire team was committed to increasing self-service reporting capabilities for end users and replacing a legacy warehouse and BI system.
Rather than getting mired in lengthy data integration and master data management (MDM) processes without any short-term benefits, the stakeholders decided to simultaneously focus on data integration, data governance, and BI development as part of a continuous flow. This unique approach allowed St. Luke’s team to deliver value throughout the implementation, avoiding a lengthy process to building an EDW that might not ultimately align with business needs. The business priorities drove the BI plan, which in turn drove data integration and MDM plans.
St. Luke’s started with a comprehensive data integration plan designed to optimize the accuracy, completeness, reliability, and security of enterprise information. ibi’s data platform out-of-the-box data model provided a ready-to-go launch pad for the project, with built-in features supported for rapid implementation methodologies, such as massively parallel processing and extract, load, and transform (ELT)-based warehousing architectures. More than 40 stakeholders in a variety of roles helped outline needs and priorities from a BI perspective.
“We reverse-engineered our implementation approach based on BI needs,” says Amanda Mazza, Director of Analytics and BI at St. Luke’s. “Instead of starting with mastered domains, we started with our strategic business priorities, developed BI requirements to support those priorities, and let those BI requirements drive the implementation plan. The ibi data platform’s flexibility allowed us to take this approach. It would have been impossible to accomplish our goals with the other vendors and options we looked at.”
The integration team started with the largest, most complex, and ultimately most important data sources, including multiple legacy hospital and ambulatory billing and electronic medical record (EMR) systems. Other data sources quickly followed, including a newly implemented Epic EMR, multiple internal physician databases, patient experience survey data, modeled cost data, staffing data, U.S. census and market data, clinical quality benchmarks, and more.
The MDM team consolidated multiple physician databases to establish “golden” master records for more than 15,000 unique providers employed by – or that interact with – the health network. MDM experts and data stewards keep the data current and in sync, thus helping ensure that vital patient information gets to the right location promptly.
Working on analytics in parallel with the data integration and data mastering processes enabled St. Luke’s to launch an initial set of quality dashboards in only four months. Today, St. Luke’s Insights comprises the EDW and more than 60 pre-built analytics applications that include dashboards for monitoring activities across the clinical, operational, and financial spectrum, opening information to business users for both guided and advanced self-service analytics. These analytics applications access the data provided by ibi’s data platform, Health Views component, a system of consumption-oriented data structures generated over the ibi’s data platform operational repository.
For instance, the Population Care Analytics and Targeted Outreach application™ allows authorized users to model populations to analyze quality measures (such as the Healthcare Effectiveness Data and Information Set (HEDIS) and the Physician Quality Reporting System (PQRS), utilization, and costs at the network, practice, and physician levels. They can analyze populations by payer type and individual payers, analyze utilization and cost for specific episodes of care, and identify patients for targeted outreach based on risk, gaps in care, and other criteria using available clinical, billing, and claims data.
“This is a business-driven program. New analytic assets are purpose-built in alignment with network strategy. Stakeholders across the organization develop information requirements to support the business priorities of their respective areas. Our information strategy is in lockstep with the business strategy of St. Luke’s University Health Network.”
Director of Analytics and BI
St. Luke’s University Health Network