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A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs

Author

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  • James J. H. Liou

    (Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Zhongxiao E. Rd., Taipei 10608, Taiwan)

  • Ming-Tsang Lu

    (Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Zhongxiao E. Rd., Taipei 10608, Taiwan)

  • Shu-Kung Hu

    (Department of Business and Entrepreneurial Management, Kainan University. No.1, Kainan Rd., Luchu Dist., Taoyuan City 33857, Taiwan)

  • Chia-Hua Cheng

    (Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Zhongxiao E. Rd., Taipei 10608, Taiwan)

  • Yen-Ching Chuang

    (Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Zhongxiao E. Rd., Taipei 10608, Taiwan)

Abstract

Although the electronic health record (EHR) is a promising innovation in the healthcare industry, the implementation of EHR has been relatively slow. A theoretical structure for the exploration and improvement of this usage of EHR is proposed. Incorporating the theoretical structure of TOE (technology-organization-environment), we apply the DEMATEL (decision-making trial and evaluation laboratory) technique to illustrate the influence-matrix and to construct the INRM (influential network relationship map). Based on this DEMATEL influence matrix and the fundamental concepts of ANP (Analytic Hierarchy Process), we derive influential weights for the criteria. These influential weights are then combined with the modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method to find ways to understand and enhance the usage of EHR technology. The outcome demonstrates that our model can not only be used for implementation of EHR technology, but can also be applied to analyze the gaps in performance between the aspiration level and present performance values in individual criterion/dimension.

Suggested Citation

  • James J. H. Liou & Ming-Tsang Lu & Shu-Kung Hu & Chia-Hua Cheng & Yen-Ching Chuang, 2017. "A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs," Sustainability, MDPI, vol. 9(10), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1819-:d:114405
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    References listed on IDEAS

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    7. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
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    Cited by:

    1. Kao-Yi Shen & Gwo-Hshiung Tzeng, 2018. "Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications," Sustainability, MDPI, vol. 10(5), pages 1-7, May.
    2. Shih-Chia Chang & Hsu-Hwa Chang & Ming-Tsang Lu, 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
    3. Chang Wook Kang & Muhammad Imran & Muhammad Omair & Waqas Ahmed & Misbah Ullah & Biswajit Sarkar, 2019. "Stochastic-Petri Net Modeling and Optimization for Outdoor Patients in Building Sustainable Healthcare System Considering Staff Absenteeism," Mathematics, MDPI, vol. 7(6), pages 1-26, June.
    4. Shu-Kung Hu & James J. H. Liou & Ming-Tsang Lu & Yen-Ching Chuang & Gwo-Hshiung Tzeng, 2018. "Improving NFC Technology Promotion for Creating the Sustainable Education Environment by Using a Hybrid Modified MADM Model," Sustainability, MDPI, vol. 10(5), pages 1-24, April.
    5. Lei Xiong & Cheng-Lein Teng & Yu-Qi Li & Yuan-Zone Lee & Bo-Wei Zhu & Kun Liu, 2019. "A Qualitative-Quantitative Evaluation Model for Systematical Improving the Creativity of Students’ Design Scheme," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
    6. Haiyang Shang & Fang Su & Serhat Yüksel & Hasan Dinçer, 2021. "Identifying the Strategic Priorities of the Technical Factors for the Sustainable Low Carbon Industry Based on Macroeconomic Conditions," SAGE Open, , vol. 11(2), pages 21582440211, May.
    7. Lu, Ming-Tsang & Hsu, Chao-Che & Liou, James J.H. & Lo, Huai-Wei, 2018. "A hybrid MCDM and sustainability-balanced scorecard model to establish sustainable performance evaluation for international airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 9-19.
    8. Hongbo Jiang & Qigan Shao & James J.H. Liou & Ting Shao & Xiaosheng Shi, 2019. "Improving the Sustainability of Open Government Data," Sustainability, MDPI, vol. 11(8), pages 1-27, April.
    9. Ching Ching Fang & James J. H. Liou & Sun-Weng Huang & Ying-Chuan Wang & Hui-Hua Huang & Gwo-Hshiung Tzeng, 2021. "A Hybrid, Data-Driven Causality Exploration Method for Exploring the Key Factors Affecting Mobile Payment Usage Intention," Mathematics, MDPI, vol. 9(11), pages 1-23, May.

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