People are the heart of health care. They are the key factor in driving patient and financial outcomes and they account for half of the operating costs at a typical hospital. Over the last several years, we as business professionals have been using data, AI, and predictive analytics to help hospital leaders substantially improve both patient and financial outcomes. The presenters will review pre- and post-analyses and comparisons against control groups to illustrate the impact that AI and predictive analytics can have on organizational and nursing outcomes.
Most health care organizations are already using data and predictive analytics to predict clinical outcomes like hospital re-admissions, hospital acquired infections, and adverse reactions. Amazon and Netflix are using these same techniques to predict the most likely product we will purchase or entertainment we will watch. This learning session will detail how to use these techniques to predict which candidates will improve patient and financial outcomes like employee retention, patient satisfaction, employee engagement, and hospital re-admissions.
- Importance of predictors in pre-employment assessments.
- Identifying your organization's specific people needs.
- Lessons learned.
Myra Norton, MA, MS
President and COO, Arena
ASHHRA Member: $45.00
ASHHRA Non-Member: $85.00
1 (CHHR) 1 (SHRM) 1 (HRCI)