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Risk Modeling: Data, Information and Action
Program Code:
M-27
Date:
Monday, October 17, 2011
Time:
3:00 PM to 4:00 PM
EST
CO-PRESENTER
(S):
Keith Higdon, Senior Vice President and Director of Business Intelligence,
Sedgwick CMS
Mr. Higdon is a Senior Vice President and Director of the business intelligence and risk services teams for Sedgwick Claims Management Services, Inc. in Schaumburg, Illinois.
Keith has fifteen years of experience in program evaluation, benchmarking, and information system design and development. Keith assisted in the creation of the business intelligence group which focuses on proactive evaluation of client programs and industry trends, development of risk modeling techniques, and the use of technology to better evaluate and communicate program results. His role expanded to include the risk services team which provides oversight for safety and risk control consulting services.
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Lynn Gmeiner, VP, National Professional Liability Program Manager,
Sedgwick CMS
Ms. Gmeiner is Vice President and National Professional Liability Program Manager for Sedgwick Claims Management Services, Inc. (Sedgwick CMS) in Detroit, MI. Lynn is a career insurance professional with over twenty years experience in program management, implementation, data analysis, claim system expertise and business process improvements. She received her degree from Wayne State University of Detroit, Michigan with a bachelor of Public Affairs Administration. She also holds Property & Casualty Agents license.
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Lisa Ramthun, RN, MSN, CPHRM, AVP Risk Management, St. Joseph Health System
PRESENTER
:
Ms. Julie Kolibash, Project Coordinator, Sedgwick CMS
Description
One of the most exciting areas before risk managers today is finding and leveraging opportunities through risk modeling. Risk modeling is the process of discovering patterns in data and its purpose is to transform data into actionable information to support the strategic decision-making process. This allows risk managers to create a baseline for the current program, identify opportunities for improvement, and predict future program performance. Session participants will learn the fundamentals of risk modeling, examine common cost drivers and strategies for addressing them, and explore the latest advancements in information technology needed to elevate their programs to a new level.
LEARNER OUTCOMES:
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increase operational efficiencies and decrease the healthcare organizations overall cost of risk
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learn the fundamentals of risk modeling
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Use data as a method to reduce risk in their organization