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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (2): 118-126    DOI: 10.11925/infotech.2096-3467.2018.0488
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The Construction of Digital Medical Information Service Evaluation System Based on User Perceived Value
Jian Li1(),Mingyue Wang1,Luming Xu2,Yingchun Tian3
1College of Information Technology, Jilin Agricultural University, Changchun 130118, China
2Art College, Wuhan University, Wuhan 430072, China
3China-Japan Friendship Hospital, Jilin University, Changchun 130031, China
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[Objective] This paper constructs an interactive impact assessment system for medical information services that integrates users, information technology and hospital staff, from the perspective of user perceived value. [Methods] The proportion of statistical indicators and the screening of indicators are proposed based on principal component analysis, the Grey clustering method determines the index correlation matrix and the critical value in order to achieving the index optimization. Establishment of combination method can evaluate the quality of medical information service evaluation system. [Results] The evaluation index system includes 58 indicators and can be divided into 9 categories. The maximum weight proportion of service value dimension is 0.2059, and the minimum weight proportion of risk cost dimension is 0.0405. [Limitations] The scale of the questionnaire data is small. The index scores are determined by a few experts and have a certain degree of subjectivity. [Conclusions] The proposed evaluation system can theoretically provide decision-making basis for hospital medical information service construction, planning and management, and improve the level of hospital medical information service and user's experience satisfaction degree in practical application.

Key wordsPerceived Value Model      Medical Information Service      Evaluation System     
Received: 02 May 2018      Published: 27 March 2019

Cite this article:

Jian Li,Mingyue Wang,Luming Xu,Yingchun Tian. The Construction of Digital Medical Information Service Evaluation System Based on User Perceived Value. Data Analysis and Knowledge Discovery, 2019, 3(2): 118-126.

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