3219.2 Data Mining Technologies and Applications

Monday, October 27, 2008: 12:30 PM
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.

12:30 PM
Database and Tools for the Investigation of Climate-Mediated Human Disease
Jan Ihmels, PhD, Mark S. Smith, MD, Sreeman Nanduri, MS, Craig Feied, MD, Jonathan Handler, MD, Andrea Valenta, MSN, Michael Gillam, MD and Dennis Fantin, PhD
1:10 PM
Using data mining methods with standardized terminology data sets for home visiting intervention effectiveness research
Karen A. Monsen, PhD RN, Arindam Banerjee, PhD, Bonnie Westra, PhD, RN and Madeleine J. Kerr, PhD, RN
1:30 PM
Developing Evidence-Driven Strategies Using Data Mining for Improving Patient Satisfaction
Yoon-Ho Seol, PhD, Carole Ferrang, Genny Carrillo, MD, ScD and Miguel A. Zuniga, MD, DrPH

See individual abstracts for presenting author's disclosure statement and author's information.

Organized by: Health Informatics Information Technology
Endorsed by: Epidemiology, Public Health Nursing, Statistics