Data Analytics: Enabling Decision Making and Innovation
Healthcare professionals struggle to manage an ever increasing volume of disparate health data from multiple sources to making timelier and better quality decisions to improve patient care and outcomes. This same challenge applies to using data to enable innovation in health care research and delivery. Information, as the old adage goes, is only as good as the data entered into the system or the accuracy and consistency of the data that is collected and merged from a number of systems. The use of predictive and prescriptive analytic technologies provide the means to advance the practical use of this growing mountain of data. This presentation will discuss how the use of analytics can leverage data to improve operations and how good quality data can and will lead to improving patient care and outcomes. The discussion will also include several case studies where data was used to drive decisions once data quality was managed.
- Understand the benefits/steps of data quality and data prep for better data analytics
- Understand the value of applying analytic techniques to conquering the data challenge
- Identify the types of analytic techniques in use
- Ability to apply lessons learned from case studies to implement analytic based initiatives