This research investigates how learning healthcare organizations can develop an analytics-based decision making culture needed to leverage increasing pools of data, formulate intelligent responses to analytics, and actualize a response strategy based on cultivated wisdom. We explore this challenge through a field study at the Veterans Health Administration that implemented a data analytics initiative across five sites. Empirical evidence informs a model of how to build a data-informed culture in addressing care delivery issues.

Learning Objective: After participating in this session, the learner should be better able to:

- Understand the challenges associated with the stages of the Data, Information, Knowledge, Intelligence, Wisdom (DIKIW) model.
- Learn the key organizational roles and activities needed to build an analytics-based decision making culture, and learn how those roles and activities align with the DIKIW model.
- Formulate an approach to implement an analytics-based decision making culture that drives strategy response for an healthcare organization.


Cynthia LeRouge (Presenter)
Florida International University

George Sayre, University of Washington
Bianca Frogner, University of Washington
Paulo Gomes, Florida International University
Lisa Rubinstein, University of California, Los Angeles
Savitha Sangameswaran, University of Washington

Presentation Materials: