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Towards a secure EPR: cultural and educational issues.
1Department of Health Informatics, University of Texas, Houston 77225-0036, USA. jack.w.smith@uth.tmc.edu
International Journal of Medical Informatics
|January 13, 2001
Summary
Evolutionary game theory offers insights into healthcare data security behaviors. It helps understand stakeholder actions and design policies for better privacy and confidentiality in electronic health records (EHR).
Area of Science:
- Health Informatics
- Game Theory
- Social Science
Background:
- Widespread adoption of Electronic Patient Records (EPR) raises significant concerns about healthcare data security, confidentiality, and privacy.
- The economic, social, and political ramifications of these data protection issues are substantial.
Purpose of the Study:
- To propose contemporary evolutionary game theory as a valuable tool for analyzing stakeholder behavior in healthcare data management.
- To demonstrate the utility of evolutionary game theory in understanding factors influencing behavior, such as cultural norms, institutional policies, and economic incentives.
Main Methods:
- Application of contemporary evolutionary game theory principles.
- Analysis of stakeholder behavior within healthcare settings concerning data security and privacy.
Main Results:
- Evolutionary game theory effectively explains the influence of cultural norms, institutional policies, and economic factors on stakeholder behavior.
- The robustness of the theory supports its application in policy design.
Conclusions:
- Contemporary evolutionary game theory provides a robust framework for understanding and predicting behavior related to healthcare data security and privacy.
- This approach can guide the rational design of policies to promote socially desirable behaviors in managing sensitive health information.