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Research on collaborative development mechanism of multiple stakeholders in medical institutions based on rough set

Bibliographic Data

ID15380585
AuthorsMaomin Jiang (0000-0002-2580-4908, Xiamen University, corresponding author), Mao-min Jiang, Yang Kong (0000-0001-8052-7045, Binzhou University)
Year2024
Volume24
Issue1
Pages387-387
Publication date2024-02-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-024-17813-6
PMID38321441
OpenAlexW4391573209
LanguageEN
References cited30

Reducing doctor-patient conflict is an important part of coordinating doctor-patient disputes and easing doctor-patient relationship, which is conducive to building a harmonious medical environment and promoting the healthy development of medical undertakings. This paper constructs a multi-decision-maker mixed conflict model based on rough set theory, puts forward the matrix operation expression of the conflict degree theory in the Pawlak model, and gives a more objective and scientific evaluation function. Combined with hot issues of doctor-patient conflict, the proposed multi-decision-maker mixed conflict model is applied to doctor-patient conflict, examines the doctor-patient relationship in the medical institution system from multiple internal perspectives, and calculates feasible solutions in the conflict system. The results show that high medical quality, high standardize medication, high institutional efficiency, high staff efficiency, high hospital benefits, high hospital revenue, medium employee development, medium equipment development, or high medical quality, high standardize medication, high institutional efficiency, medium staff efficiency, medium hospital benefits, high hospital revenue, high employee development, and high equipment development are important conditions for building a harmonious medical environment and reducing doctor-patient conflicts

Business · Conflict management · Economics · Function (biology · Operations management · Public relations · Quality (philosophy · Revenue · Set (abstract data type · Computer Science · Law · Medical Malpractice and Liability Issues · Medicine · Pharmaceutical industry and healthcare · Finance

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Citation velocityhistorical
Highly citedNo

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