During this webinar you’ll hear how nurses can use and analyze large data sets to influence outcomes in patient populations. Re-use of existing patient data with cutting edge methods can uncover hidden patterns in the data, demonstrate care quality, and measure outcomes. This program will provide multiple examples of analytics to advance care quality and outcomes across the spectrum of care.
- Outline how large, robust, well-coordinated data sets can be used to influence outcomes in populations
- Describe how pattern visualization and other data science methods can be used by nurses to affect outcomes
- Illustrate the importance and value of nurses in managing the care of patient populations
- Illustrate the use of a population health tool across settings to understand patient needs and nursing work
Target Audience: Nurse Leaders, QIOs, HIT Staff
Karen A. Monsen, PhD, RN, FAAN
Associate Professor and Center for Nursing Informatics
Co-Director, University of Minnesota School of Nursing
Dr. Monsen is an associate professor at the University of Minnesota School of Nursing. Her expertise in public health nursing and nursing informatics and her intervention effectiveness research employs diverse methods including theory-based analysis, data mining, visualization and longitudinal analysis. Dr. Monsen leads Omaha System Community of Practice as the Director of the Omaha System Partnership for Knowledge Discovery and Health Care Quality. She has worked extensively with health care agencies and systems regarding documentation issues and data management. She received her PhD and MS in Nursing from the University of Minnesota in 2006 and 2002. She received a BSN from Creighton University in 1978 and a BA in Biology from Luther College in 1977.