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Artificial Intelligence for Healthcare and Social Services: Optimizing Resources and Promoting Sustainability

Author

Listed:
  • Eliseo Sciarretta

    (Dipartimento di Scienze della Vita, della Salute e delle Professioni Sanitarie, Link Campus University, Via del Casale di San Pio V, 44, 00165 Rome, Italy)

  • Riccardo Mancini

    (Dipartimento di Scienze della Vita, della Salute e delle Professioni Sanitarie, Link Campus University, Via del Casale di San Pio V, 44, 00165 Rome, Italy)

  • Emilio Greco

    (Dipartimento di Scienze della Vita, della Salute e delle Professioni Sanitarie, Link Campus University, Via del Casale di San Pio V, 44, 00165 Rome, Italy)

Abstract

Artificial intelligence (A.I.) provides the ability to interpret massive amounts of data, which many industries are already taking advantage of. This contribution aims to investigate the potential applications of A.I. in healthcare in order to understand how it can help optimize resources in a sector that risks becoming unsustainable due to high costs and lengthy care processes. Because A.I. development is constantly evolving, the authors examined the relevant literature, focusing on the last decade to highlight the significant advances made during this time period. A scheme of uses based on the care phases is presented as a result of the analysis. This scheme, which is made up of 4 + 1 categories, can help frame and analyze potential uses. Before the conclusion, the last section of the contribution addresses the remaining challenges and discovers that there are at least three types of open issues that must be resolved before A.I. can be effectively used in healthcare, as well as other sectors. A.I may revolutionize the delivery of healthcare services, but this process must be guided because the technology does not appear to be sufficiently mature and solutions to several problems must be found.

Suggested Citation

  • Eliseo Sciarretta & Riccardo Mancini & Emilio Greco, 2022. "Artificial Intelligence for Healthcare and Social Services: Optimizing Resources and Promoting Sustainability," Sustainability, MDPI, vol. 14(24), pages 1-9, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16464-:d:997953
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    References listed on IDEAS

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    3. Yanyan Dong & Jie Hou & Ning Zhang & Maocong Zhang, 2020. "Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence," Complexity, Hindawi, vol. 2020, pages 1-10, October.
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    5. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Working Papers 24301, National Bureau of Economic Research, Inc.
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