2016 International MUSE Conference
June 1 – 3, 2016
Gaylord Palms Resort and Convention Center – Orlando, FL
Powering Quality, Population Health and Operations Improvement Initiatives with Integrated Data Consolidation and Self-Service Analytics
June 1, 2016 – 11:00am to 12:00pm – Gaylord Palms Convention Center – Osceola 2
Elizabeth Wolff, MD, MPA: Senior Vice President of Care Transformation, Quality, and IT, Richmond University Medical Center (Staten Island, NY)
Raj Lakhanpal, MD, FRCS, FACEP: Chief Executive Officer, SpectraMedix
The first part of the case study will cover the challenges that RUMC faced in accessing key information within clinical and administrative data from MEDITECH and other hospital and ambulatory systems so that it could be used for quality and performance improvement. Data elements required for analytics and reporting were in multiple formats from multiple data sources spread across disparate settings. Statistical data and reports were usually created by analysts or programmers in an IT department who had to manually compile the information based upon individual requests. Reports often would be in a list or a spreadsheet containing multiple rows and columns of data which the executive, care manager or provider who made the request would need to wade through to get the needed information.
From there we will explain how the solution consolidated data from MEDITECH and other systems into an Enterprise Data Warehouse (EDW). The EDW contains a patient-centric Clinical Data Repository for a longitudinal view of each patient, along with reference datasets and benchmarking data, to enable comprehensive analysis and reporting of performance metrics. We also will illustrate the extract, transformation and load (ETL) process for regularly scheduled data updates.
The Case Study then will demonstrate how interactive reporting capabilities are enabling Quality and Informatics staff to generate user-defined analytics and reports that enable Care Teams to:
- Identify and track patients with a high risk for 30-day readmission so that appropriate care can be delivered and financial penalties avoided
- Monitor and streamline length of stay in the hospital
- Identify ACO members within the EDW for reporting and analytics
- Stratify patient populations and sub-populations with predictive risk models using data from ambulatory systems
The case study ultimately will establish how a healthcare-specific data warehouse with integrated self-service data visualization capabilities, high level dashboards and actionable patient reports offers an EHR agnostic approach to improve quality by allowing for better visibility into data and enabling users to quickly understand and take action on the information it provides.