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Change or Wait: A Game Theory Exploration of Strategies for Vendors and Providers for the EHR Incentive Programs in 2015
Methods: In a simplified game theory setting, vendors are player 1 with two strategies: do not upgrade (Wait/W) or invest resources to upgrade the EHR (Change/C). Providers are player 2 with two strategies: Wait/W and forgo MU incentives or Change/C to a new vendor and incur additional costs. Assuming both players are rational, we may have two types of games. One is an extensive-form game where the vendors move first and thus a backward induction facilitates sub-game perfect equilibrium. The other is a strategic-form game where players may use mixed strategies in a Nash equilibrium setting. We calculate the payoffs and determine the players’ strategies based on various providers’ MU status scenarios.
Results: With four strategy pairs (W, W), (W, C), (C, W), and (C, C), we observe (C, W) as the optimal outcome, where vendors upgrade and providers do not change EHR. But given various payoff situations, we may end up with equilibrium that is costly for both of the players. We explore all the possible scenarios and validate the models with real-world data.
Conclusion: Policy makers could use game theory as a way to test the potential impact that incentives and penalties can have to motivate changes in provider adoption and use of EHR, while determining potential payoffs to vendors and providers.
Learning Areas:
Biostatistics, economicsPublic health administration or related administration
Public health or related public policy
Public health or related research
Social and behavioral sciences
Systems thinking models (conceptual and theoretical models), applications related to public health
Learning Objectives:
Assess the financial costs and benefits of EHR incentive program participation for both EHR vendors and participants
Describe game theory models for understanding EHR incentive program participation and EHR certification
Discuss the options by policy makers that can guide EHR vendors and incentive program participants to choices that support EHR use
Keyword(s): Public Policy, Decision-Making
Qualified on the content I am responsible for because: I am the Senior Director of Evaluation, Research and Analysis for PCIP in NYC Department of Health and Mental Hygiene. I have published over 50 peer-reviewed papers on various topics including EHR usage, Meaningful Use incentives, Statistical methods and etc. I am also adjunct faculties at Mount Sinai School of Medicine and at SUNY Old Westbury.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.