Name
Creating a Healthier Health System through Customized Data and Analytics Tools
Date & Time
Tuesday, June 27, 2017, 3:30 PM - 4:15 PM
Larry Burnett Bharat Rao
Description
 
Redesigning care delivery to achieve operational and clinical excellence is a universal expectation of health care systems today. Management of operational, financial and clinical data to focus these efforts is daunting, but key to identifying and implementing process improvement opportunities.  Even more important is the use of data to monitor and sustain achieved results especially as organizations work with a myriad of data sources that often seem conflicting.
 
KPMG has developed a comprehensive data model and analytics tool to support the needs of large complex health systems in the management and analysis of clinical and operational data.  The collaboration between The Health system and consultancy has resulted in an extensible common data model that can be used throughout the system, standardized quality control and validation tools to quickly assess quality, completeness and content of data submissions, incorporated industry and custom benchmarks, and provided data tuning to speed up queries.
 
The completed tool contains dozens of standard dashboards to support identified common clinical and operational analyses, incorporating dynamic filtering capabilities into the development and creation of client deliverables, and developed advanced statistical models to identify cause and effect patterns of variability and opportunity in the clinical data.  There are over a hundred key metrics available to support analysis and visualization, over two hundred clinical and financial data elements leveraged, millions of benchmark data points, and multiple analytics algorithms that support identification variability and improvement opportunities.
Attendees will come away with a better understanding of:
  • Understand the elements of a successful data model and data analytics tool
  • Explore a standard set of analytics dashboards that identify opportunities to benchmark practices and outcomes in a linear, sequential manner                    
  • Outline governance procedures, analytics structures, and resources to sustain a successful clinical analytics program
Speakers: