Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes

Marianna Mauro, Guido Noto, Anna Prenestini and Fabrizia Sarto

Technological Forecasting and Social Change, 2024, vol. 209, issue C

Abstract: This study used Porter's value chain model within healthcare organizations and the technology–organization–environment framework to explore the impact of digital technologies on managerial and administrative support processes and identify the determinants of their adoption. We used the Delphi methodology to examine six categories of digital technologies (Internet of Things, artificial intelligence & machine learning, big data & business analytics, cloud storage & computing, social media, and blockchain). The study used an inductive qualitative approach involving 11 experts to gather opinions on the most impactful digital technologies and the factors that hinder or limit digital transformation. We found that the Internet of Things and artificial intelligence & machine learning have the most significant impact on administrative support processes in healthcare organizations. Blockchain was least relevant. The experts identified the skills and competencies of employees as the most crucial determinants for ensuring successful digital transformation. These results contribute to the literature on digital transformation in healthcare, which has previously mainly focused on the impact of technologies on clinical processes. The findings may also be useful to both policymakers and practitioners in determining priorities for investment in digital technologies and delivering successful implementation.

Keywords: Healthcare 4.0; New technologies; Innovation determinants; Administrative processes; Value chain; Italy (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524005791

DOI: 10.1016/j.techfore.2024.123781

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