The ability to collect and meaningful exchange health data is meaningfulness unless it is appropriately accessed and analyzed in order to form the best clinical decisions possible about an individual’s health and health treatment. Information from disease registries and other data repositories create opportunities for us to develop a more refined healthcare consumer matching process, analyze and predict trends, and even make predictive assumptions about an individual. As the world of health IT matures, so do the possibilities available to us to make meaningful improvements to health outcomes, more informed decision making, and to generate cost savings.
The purpose of the Data Analytics Workgroup is to focus on the use part of Data Access and Use and focuses on the growing role of analytics in healthcare. This group will focus on key issues in data analytics, including use cases, the increasing role of predictive analytics to improve health outcomes, and the identification of risk profiles.