Application of Rough Set Theory to Improve Outpatient Medical Service Quality in Public Hospitals Based on the Patient Perspective.

Du, Man-Li; Tung, Tao-Hsin; Tao, Ping; Chien, Ching-Wen; Chuang, Yen-Ching

Du, Man-Li; Tung, Tao-Hsin; Tao, Ping; Chien, Ching-Wen; Chuang, Yen-Ching.

Afiliação

Du ML; Huadu District of Guangzhou Maternal and Child Health Hospital (Huzhong Hospital), Guangzhou, China.
Tung TH; Enze Medical Research Center, Affiliated Taizhou Hospital of Wenzhou Medical College, Taizhou, China.
Tao P; Department of Medical Affairs and Planning, Section of Medical Fees Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan.
Chien CW; Institute for Hospital Management, Tsing Hua University, Shenzhen, China.
Chuang YC; Institute of Public Health & Emergency Management, Taizhou University, Taizhou, China.

Front Public Health ; 9: 739119, 2021.

Article em En | MEDLINE | ID: mdl-34900895

Assuntos

Assistência Ambulatorial; Hospitais Públicos; Humanos; Pacientes Ambulatoriais; Inquéritos e Questionários

Palavras-chave

data mining; multiple attribute decision-making (MADM); outpatient satisfaction; rough set theory (RST); service quality

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Assistência Ambulatorial / Hospitais Públicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Front Public Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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