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Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization

Author

Listed:
  • 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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    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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