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

Datos Bibliográficos

ID15380585
AutoresMaomin Jiang (0000-0002-2580-4908, Xiamen University, autor de correspondencia), Mao-min Jiang, Yang Kong (0000-0001-8052-7045, Binzhou University)
Año2024
Volumen24
Número1
Páginas387-387
Fecha de publicación2024-02-06
Open AccessSí
TipoARTICLE
RevistaBMC Public Health (JOURNAL)
Identificadores de la revistaISSN: 1471-2458 • E-ISSN: 1471-2458
EditorialBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-024-17813-6
PMID38321441
OpenAlexW4391573209
IdiomaEN
Referencias citadas30

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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