Agile Analytics at an Academic Medical Center
The academic medical center provides a bountiful volume, velocity, and variety of data. This vast collection of data can be complex to manage and analyze due to being spread across dozens of information systems. These systems may have varying degrees of sophistication, there may be incomplete standards, validation rules may not be implemented, and the inherent complexity of health care data make finding value difficult.
In the move toward becoming a Learning Health System, we established the Data, Analytics, and Statistical Core (DASC) in the hope of building an agile analytics group that can enable the faculty and staff at UK HealthCare (UKHC) to better implement operational quality improvement and research projects. By creating streamlined yet robust processes and by collaborating with clinical care providers, administrators, researchers, and heath care process engineers we have been able successfully build and accelerate high value analytics. I will share some of our stories and the strategies that we have found successful in implementing this agile analytics team.
Dan Cleland, MS
Manager - Data, Analytics, and Statistical Core
Center for Health Services Research
University of Kentucky
Registration is required. Email email@example.com by Monday, September 10, 2018 to register. If you require special physical arrangements to attend, please call 323-8545.