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Big data management in healthcare: Adoption challenges and implications

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  • Chen, Peng-Ting
  • Lin, Chia-Li
  • Wu, Wan-Ning

Abstract

The computerized healthcare information system has undergone tremendous advancements in the previous two decades. Medical institutions are paying further attention to the replacement of traditional approaches that can no longer handle the increasing amount of patient data. In recent years, the healthcare information system based on big data has been growing rapidly and is being adapted to medical information to derive important health trends and support timely preventive care. This research aims to evaluate organization-driven barriers in implementing a healthcare information system based on big data. It adopts the analytic network process approach to determine the aspect weight and applies VlseKriterijumska Optimizacija I Kzompromisno Resenje (VIKOR) to conclude a highly appropriate strategy for overcoming such barriers. The proposed model can provide hospital managers with forecasts and implications that facilitate the withdrawal of organizational barriers when adopting the healthcare information system based on big data into their healthcare service system. Results can provide benefits for increasing the effectiveness and quality of the healthcare information system based on big data in the healthcare industry. Therefore, by understanding the sequence of the importance of resistance factors, managers can formulate efficient strategies to solve problems with appropriate priorities.

Suggested Citation

  • Chen, Peng-Ting & Lin, Chia-Li & Wu, Wan-Ning, 2020. "Big data management in healthcare: Adoption challenges and implications," International Journal of Information Management, Elsevier, vol. 53(C).
    • Handle: RePEc:eee:ininma:v:53:y:2020:i:c:s026840121830937x
    DOI: 10.1016/j.ijinfomgt.2020.102078
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    Cited by:

    1. Basile, L.J. & Carbonara, N. & Panniello, U. & Pellegrino, R., 2024. "The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management," Technovation, Elsevier, vol. 133(C).
    2. ABDELFADIL Babiker Ibrahim & THOMAS Roderick & REES Daniel & SULIMAN Abubakr, 2023. "Opportunities And Challenges To The Implementation Of Value-Based Healthcare (Vbhc) In Smes: The Case Of The State Of Qatar," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 18(2), pages 5-23, August.
    3. Ji Luo & Sayed Fayaz Ahmad & Asma Alyaemeni & Yuhan Ou & Muhammad Irshad & Randah Alyafi-Alzahri & Ghadeer Alsanie & Syeda Taj Unnisa, 2024. "Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    4. Zhao, Guoqing & Xie, Xiaotian & Wang, Yi & Liu, Shaofeng & Jones, Paul & Lopez, Carmen, 2024. "Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    5. Chih-Hao Yang & Yen-Yu Liu & Chia-Hsin Chiang & Ya-Wen Su, 2023. "National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view," Annals of Operations Research, Springer, vol. 328(1), pages 1151-1179, September.

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