Artificial Intelligence and Healthcare Connection: A State-Of-The-Art Discussion Among Academics and Practitioners

Abstract

The challenge of artificial intelligence (AI) in healthcare seems to have been launched. Numerous applications and connections are now possible thanks to the use of data and collaboration between information systems. Despite the multiple studies published so far in the scientific literature by academics or in the professional literature by managers and healthcare professionals, there are no comparisons and exploratory investigations between the two sources of thought. The book chapter aims to investigate the link between AI and healthcare by understanding how technology and deep learning can change preexisting scenarios. The chapter proposes an experimental research perspective. Indeed, on the one hand, we select 102 peer-reviewed articles from Scopus in business, management, and accounting; on the other hand, 64 articles from blogs, newspapers, and journals from the Europresse database. The results suggest to us that the discussion covers topics such as applications, integration, and challenges. However, differences in thinking between the two groups exist. In particular, we find that practitioners require academics to design technology and develop a theory to apply AI. Finally, we conclude by providing practical and managerial implications through the McKinsey 7S Framework.

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