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

Eliseo Sciarretta (), Riccardo Mancini and Emilio Greco
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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

Sustainability, 2022, vol. 14, issue 24, 1-9

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.

Keywords: artificial intelligence; societal impact; healthcare; privacy; biases; care phases (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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