Evolutionary game theory and simulations based on doctor and patient medical malpractice

Doctors and patients are the two critical players in medical malpractice. The evolutionary game model of doctors and patients is constructed based on information asymmetry and bounded rationality. The strategy selection problem of the two players in the medical malpractice process was studied. With...

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Published in:PloS one 2023-03, Vol.18 (3), p.e0282434-e0282434
Main Authors: Song, Lin, Yu, Zhenlei, He, Qiang
Format: Article
Language:English
Subjects:
Behavior
Biology and Life Sciences
Computer and Information Sciences
Cooperation
Data base management systems
Evaluation
Evolution
Evolutionary theories
Game Theory
Games
Health care expenditures
Hospitals
Humans
Hypotheses
Information management
Malpractice
Medical devices
Medical malpractice
Medical personnel
Medicine
Medicine and Health Sciences
Patients
People and Places
Physical Sciences
Physician-Patient Relations
Physicians
Players
Professional malpractice
Punishment
Rationality
Research and Analysis Methods
Simulation methods
Social exclusion
Social Sciences
Strategies
Strategy
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description Doctors and patients are the two critical players in medical malpractice. The evolutionary game model of doctors and patients is constructed based on information asymmetry and bounded rationality. The strategy selection problem of the two players in the medical malpractice process was studied. With change in different parameters, the evolutionary equilibrium strategy of the model was demonstrated using Vensim simulation. The results show that the weight, penalty amount, benefits of standardized practices, and patient medical alarm cost of strategies of different doctors are the key factors affecting doctor-patient evolutionary game system. Medical malpractice can be reduced by adjusting the weight of different strategy choices, increasing the penalties for illegal practices, and standardizing medical malpractice costs based on doctors' standardized practice income. Measures to effectively resolve medical malpractice are proposed by introducing a third-party normative system, establishing a doctor-patient information management system, and improving doctors' reward and punishment mechanisms.
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The evolutionary game model of doctors and patients is constructed based on information asymmetry and bounded rationality. The strategy selection problem of the two players in the medical malpractice process was studied. With change in different parameters, the evolutionary equilibrium strategy of the model was demonstrated using Vensim simulation. The results show that the weight, penalty amount, benefits of standardized practices, and patient medical alarm cost of strategies of different doctors are the key factors affecting doctor-patient evolutionary game system. Medical malpractice can be reduced by adjusting the weight of different strategy choices, increasing the penalties for illegal practices, and standardizing medical malpractice costs based on doctors' standardized practice income. 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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Song et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Song et al 2023 Song et al</rights><rights>2023 Song et al. 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source Open Access: PubMed Central; Publicly Available Content Database; Sociological Abstracts; Coronavirus Research Database
subjects Behavior
Biology and Life Sciences
Computer and Information Sciences
Cooperation
Data base management systems
Evaluation
Evolution
Evolutionary theories
Game Theory
Games
Health care expenditures
Hospitals
Humans
Hypotheses
Information management
Malpractice
Medical devices
Medical malpractice
Medical personnel
Medicine
Medicine and Health Sciences
Patients
People and Places
Physical Sciences
Physician-Patient Relations
Physicians
Players
Professional malpractice
Punishment
Rationality
Research and Analysis Methods
Simulation methods
Social exclusion
Social Sciences
Strategies
Strategy
title Evolutionary game theory and simulations based on doctor and patient medical malpractice
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