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Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap

Author

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  • Ik-Whan G. Kwon

    (The Center for Supply Chain Excellence, Saint Louis University, Saint Louis, MO 63108, USA)

  • Sung-Ho Kim

    (Department of Health Administration, Yonsei University, Seoul 03722, Korea)

  • David Martin

    (The Ancell School of Business, Western Connecticut State University, Danbury, CT 06810, USA)

Abstract

The COVID-19 pandemic has altered healthcare delivery platforms from traditional face-to-face formats to online care through digital tools. The healthcare industry saw a rapid adoption of digital collaborative tools to provide care to patients, regardless of where patients or clinicians were located, while mitigating the risk of exposure to the coronavirus. Information technologies now allow healthcare providers to continue a high level of care for their patients through virtual visits, and to collaborate with other providers in the networks. Population health can be improved by social determinants of health and precision medicine working together. However, these two health-enhancing constructs work independently, resulting in suboptimal health results. This paper argues that artificial intelligence can provide clinical–community linkage that enhances overall population health. An exploratory roadmap is proposed.

Suggested Citation

  • Ik-Whan G. Kwon & Sung-Ho Kim & David Martin, 2021. "Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap," IJERPH, MDPI, vol. 18(9), pages 1-8, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:5018-:d:551226
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    References listed on IDEAS

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    1. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    2. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
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    Cited by:

    1. 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.
    2. Margaret Antonicelli & Michele Rubino & Filomena Maggino, 2023. "Demographic and Economic Determinants of Digitalization in Healthcare: An Exploratory Analysis of the Italian Local Health Centers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 529-552, September.

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