Oral

As the moniker implies, ‘data mining’ encompasses the processes by which reams of data are analyzed in order to identify patterns that could inform critical decision making before, during, and after the clinical encounter. The overarching purpose of these oral presentations is to apprise participants of how data mining is impacting public health practice in a variety of settings.

Session Objectives: Increase understanding of data mining applications in public health nursing documentation data. Integrate knowledge about use of standardized language data (Omaha System) in combination with data mining methods for intervention effectiveness research. Understand the issues and implications related to applying data mining techniques in the context of patient satisfaction.