Determine Hospital Risk Management Staffing Through Analytics
Track
:
Risk Financing
Program Code:
W-15
Date:
Wednesday, October 19, 2011
Time:
10:00 AM to 11:00 AM
EST
Location:
Mtg Room 125 AB
CO-PRESENTER
(S):
Sheila Hagg-Rickert, JD, MHA, MBA, DFASHRM, CPHRM, CPCU, Associate System Director - Risk Management, CHRISTUS Health
Sheila is the System Director for Christus Health a multi-hospital faith based system headquartered in Houston, TX. She has served on ASHRM's Board of Directors and faculty for the advanced Forum of the Barton Certificate and is a frequent speaker and author on a variety of risk topics. Sheila has held several senior level poisition with LTC providers, not-for-profit and proprietary muti-hospital systems and national brokerage.
Chrystie is Senior Vice President of the Willis Risk Finance Practice. She has 15 years of experience in risk analysis and consulting. Her areas of concentration include comprehensive risk assessment, risk quantification and modeling, cost of risk measurements, comparative risk financingmeasures, and enterprise risk management. Chrystie has a BS degreee with honors from Converse College in Mathematics and French and a Master of Science degree in Mathematics from Tenessee State University. She hold the designations of ARM, CRM and CIC.
Ken has more than 38 years of clinical and non-clinical healthcare management expertise in both private and public healthcare facilities. Ken is a licensed registered nurse, and has a Masters degree in Healthcare Management. Ken is a senior clinical risk management consultant and property and casualty insurance broker. Ken's last position in the hospital setting was the System Risk Manager for the Connecticut Health System, a large 3 hospital tertiary care teaching system in central and northern Connecticut. Ken holds the designations of Distinguished Fellow and Certified Professional in Healthcare Risk Management in the American Society for Healthcare Risk Management.
Description
There is currently a limited ability for hospital risk managers to determine required department staffing levels based on current literature and the lack of quantifiable staffing models. The audience will understand the theoretical framework and subsequent results of this independent research project designed to establish a standardized means and quantifiable formula to objectively determine and justify staffing levels based on the gathering of time data for essential risk management activities necessary to support the function. The research project was beta tested at a large multi-hospital healthcare delivery system in Texas.
LEARNER OUTCOMES:
Analyze time data in order to determine required staffing necessary to support risk management
Communicate required staffing necessary to support hospital risk management workload
Employ tracking tools to gather time data on 24 risk management activities