Evaluation method of medical service system based on DEMATEL and the information entropy: A case study of hypertension diagnosis and treatment in China

Abstract

Precise and reasonable evaluation of the multi-attribute value of medical system is the basis for hospitals to implement total quality management. Excellent medical system is necessary as a part of modern urban governance. However, most of medical value evaluation work relies on scale and artificial scoring at present, lacking in objectivity. Therefore, a scientific and comprehensive medical value evaluation system is needed urgently to give full play to the guiding role of value evaluation and promote the improvement of the medical service system. In this study, DEMATEL and information entropy are used to quantify the degree of mutual influence between system indicators and the differences in medical market performance respectively, so as to obtain the objective index weight. Hypertension has the highest incidence in the whole chronic disease system, which seriously affects people's daily life. Based on the existing hypertension diagnosis and treatment index system, a comprehensive and objective evaluation model is established to evaluate the hypertension diagnosis and treatment behaviors of different medical institutions, which achieves good result. This method has effectively improved the relative deficiency of one-sided subjective evaluation and has a great guiding significance for the comparison of treatment in departments and the economical use of medical resources.

Success factors of health promotion: Evaluation by DEMATEL and M-DEMATEL methods — A case study in a non-profit organization

“…According to the study of Koca and Yıldırım [ 54 ], the uses of the DEMATEL method were concentrated in fields such as computer science and artificial intelligence, environmental science, operations research and management science, management, green sustainable technologies, electrical electronics engineering, and industrial engineering. In relationship to hospital management, some scholars used DEMATEL to investigate or evaluate the hospital service quality [ 55 ], hospital accreditation standards [ 56 ], hospitals outpatient service [ 57 ], hospital supply chain performance [ 58 ], medical service system [ 59 ] and medical device development [ 60 ]. In connection with healthcare, some scholars applied DEMATEL to analyze and explore healthcare industry [ 61 , 62 ], lean healthcare management [ 63 , 64 ], healthcare waste treatment technologies [ 65 ], and healthcare service quality [ 66 ].…”

Improved Method of Filling Incomplete Information in Network Database Simulation

“…At the same time, for a network database with missing data, if a smaller interval is used to discover the relationship between the data and the data, it will increase the information entropy in the database [12]. Information entropy is a measurement parameter with the degree of system order.…”

“…In formula (12), represents the value of the nearest neighbor response position, and ∑ represents the missing data judgment parameter. Repeat the previous steps until all of the network database's incomplete information has been found and filled in, then repeat the process to finish filling out the database's incomplete information.…”