Data Underpins Every Activity
From evaluating our population health management programs, to analyzing patient data, identifying trends, tracking financial outcomes, and publishing on lessons learned—almost all new ideas and innovations in Population Health rely on data.
ESTABLISHING A NEW FRAMEWORK
When Mass General Brigham moved to alternative payment models, it created a need for a flexible and scalable data infrastructure to support the management of patient populations. To effectively capture at-risk episodes for patients spanning the entire continuum of care, Mass General Brigham needed a comprehensive analytics solution that could draw performance data from multiple sources, including data historically maintained separately:
- Data from Hospitals
- Data from Providers
- Data from Patient Claims
BUILDING A BETTER (WARE)HOUSE
To accomplish this herculean task, Mass General Brigham partnered with Health Catalyst to help design and implement a custom data infrastructure that included clinical, quality, and financial data. The Enterprise Data Warehouse (EDW) today incorporates approximately 26,000 data objects from multiple sources, including Electronic Medical Records (EMRs), clinical and financial systems, claims, enterprise master patient indexes, and a variety of external sources. Today, the EDW has nearly 1,350 enabled users with roughly 7.4 million database queries since its inception in 2014. Using the EDW as a foundation, Population Health has been able to quickly gain insights into care episodes by patient, facilities, providers, and cohorts.
INNOVATING APPLICATIONS TO IMPROVE QUALITY
The Enterprise Data Warehouse offers a range of self-service analytical applications. One of the most robust tools is the Quality Insights Subject Area Mart, or QI SAM. The QI SAM was built to track and report on ambulatory care quality performance for the Mass General Brigham network to show practice and provider level detail using data from both our Epic Electronic Medical Record (EMR) as well as claims data for HEDIS based measures. QI SAM dashboards provide both an analysis and comparison view. The analysis view shows performance on all measures alongside denominators and targets with the ability to view year-over-year trends. The comparison view allows allows users to drill down measures to the individual practice or provider level, compare performance with one another, or with larger system trends. These tools and applications allow both clinical and analytics teams to hone in on successes, share best practices, identify areas for improvement, and drive overall progress to improve quality and reduce cost trends across the Mass General Brigham network.
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