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Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization

Author

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  • Wei-Chih Lu

    (Department of Biomedical Engineering, National Cheng Kung University, No. 1 University Road, Tainan City 701, Taiwan)

  • I-Ching Tsai

    (Department of Biomedical Engineering, National Cheng Kung University, No. 1 University Road, Tainan City 701, Taiwan)

  • Kuan-Chung Wang

    (Department of Biomedical Engineering, National Cheng Kung University, No. 1 University Road, Tainan City 701, Taiwan)

  • Te-Ai Tang

    (International Institute of Medical Device Innovation, National Cheng Kung University, No. 1 University Road, Tainan City 701, Taiwan)

  • Kuan-Chen Li

    (Department of Business Administration, National Kaohsiung University of Science and Technology, No. 58 Shenzhong Rd., Yanchao District, Kaohsiung City 82444, Taiwan)

  • Ya-Ci Ke

    (Department of Business Administration, National Kaohsiung University of Science and Technology, No. 58 Shenzhong Rd., Yanchao District, Kaohsiung City 82444, Taiwan)

  • Peng-Ting Chen

    (Department of Biomedical Engineering, National Cheng Kung University, No. 1 University Road, Tainan City 701, Taiwan
    International Institute of Medical Device Innovation, National Cheng Kung University, No. 1 University Road, Tainan City 701, Taiwan
    Medical Device Innovation Center, National Cheng Kung University, Tainan City 701, Taiwan)

Abstract

Healthcare industries are facing an enormous flow of medical records due to the progression of information technology and the trend of digital transformation. Thus, medical information digitalization is a huge digital dataset that can be utilized to benefit healthcare systems and patients. While many studies focus on the application of the digitalized medical information in the healthcare field, only a few mentioned its resistance. The theoretical background depicts a comprehensive overview of medical information digitalization and the barriers in previous literature. This study emphasized the interaction of medical information digitalization barriers and applies the importance-resistance analysis model (IRA) to identify the resistant factors overcoming strategy. It also clarifies the pathway to eliminating the innovation resistance and reveals the interaction of medical information digitalization barriers. The acquisition, management, and application of medical information digitalization are the key foundation of medical technology innovation, digital transformation, and the application of artificial intelligence. This work can reduce the limitation of a narrow healthcare context. This study helps healthcare industries to clarify and solve barriers and realizes the innovation and application of medical information digitalization. In the long term, the results provide a basis for the future development direction of medical information digitalization and affect the medical industry.

Suggested Citation

  • Wei-Chih Lu & I-Ching Tsai & Kuan-Chung Wang & Te-Ai Tang & Kuan-Chen Li & Ya-Ci Ke & Peng-Ting Chen, 2021. "Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7888-:d:594466
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    References listed on IDEAS

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    1. Garrety, Karin & McLoughlin, Ian & Wilson, Rob & Zelle, Gregor & Martin, Mike, 2014. "National electronic health records and the digital disruption of moral orders," Social Science & Medicine, Elsevier, vol. 101(C), pages 70-77.
    2. Satoru Kikuchi & Kota Kadama & Shintaro Sengoku, 2021. "Characteristics and Classification of Technology Sector Companies in Digital Health for Diabetes," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    3. Liou, James J.H. & Tzeng, Gwo-Hshiung & Chang, Han-Chun, 2007. "Airline safety measurement using a hybrid model," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 243-249.
    4. Fareed, Naleef & Bazzoli, Gloria J. & Farnsworth Mick, Stephen S. & Harless, David W., 2015. "The influence of institutional pressures on hospital electronic health record presence," Social Science & Medicine, Elsevier, vol. 133(C), pages 28-35.
    5. Stevens, Marthe & Wehrens, Rik & de Bont, Antoinette, 2020. "Epistemic virtues and data-driven dreams: On sameness and difference in the epistemic cultures of data science and psychiatry," Social Science & Medicine, Elsevier, vol. 258(C).
    6. Kingori, Patricia & Gerrets, René, 2016. "Morals, morale and motivations in data fabrication: Medical research fieldworkers views and practices in two Sub-Saharan African contexts," Social Science & Medicine, Elsevier, vol. 166(C), pages 150-159.
    7. Thune, Taran & Mina, Andrea, 2016. "Hospitals as innovators in the health-care system: A literature review and research agenda," Research Policy, Elsevier, vol. 45(8), pages 1545-1557.
    8. Galetsi, P. & Katsaliaki, K. & Kumar, S., 2019. "Values, challenges and future directions of big data analytics in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 241(C).
    9. Catherine L. Anderson & Ritu Agarwal, 2011. "The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information," Information Systems Research, INFORMS, vol. 22(3), pages 469-490, September.
    10. Yu-Jing Chiu & Hsiao-Chi Chen & Gwo-Hshiung Tzeng & Joseph Z. Shyu, 2006. "Marketing strategy based on customer behaviour for the LCD-TV," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 7(2/3), pages 143-165.
    11. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    12. Chen, Peng-Ting, 2018. "Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 150-164.
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    2. Angelos I. Stoumpos & Fotis Kitsios & Michael A. Talias, 2023. "Digital Transformation in Healthcare: Technology Acceptance and Its Applications," IJERPH, MDPI, vol. 20(4), pages 1-44, February.

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