Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory

Nidhi Singh, Monika Jain, Muhammad Mustafa Kamal, Rahul Bodhi and Bhumika Gupta ()
Additional contact information
Nidhi Singh: Jaipuria Institute of Management [Noida]
Monika Jain: BIMTECH - Birla Institute of Management Technology
Muhammad Mustafa Kamal: Coventry University
Rahul Bodhi: UPES - University of Petroleum and Energy Studies [Dehradun]
Bhumika Gupta: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

Post-Print from HAL

Abstract: AI is transforming healthcare system with many innovations in diagnosis, drug research and advancement in medical treatments. But there are several concerns and dilemmas related to data misuse, AI efficiency for critical diagnostic services, users' resistance, investment costs, funding issues, and so on that have been raised by many previous studies on the effective integration of AI in clinical settings. Using paradox theory in the organisational settings, the present study discusses several technological paradoxes associated with the adoption of AI in healthcare. In this regard, the study examines the views of diverse medical practitioners about using AI services for several medical needs. The study analyses the efficacy and limitations of AI services which develop several ethical dilemmas in the mind of medical practitioners and also suggest a few strategies for the adoption. Using grounded theory approach, the study collected views of 62 medical practitioners on these dimensions. The primary drivers to the adoption identified in the present study are: ease of use, automation efficacy, diagnostic accuracy, and cost efficiency. A lack of training and education, cultural and religious considerations, privacy issues and work insecurity are some of the concerns highlighted by the medical staffs. The study inferred a few paradoxes or ethical dilemmas of practitioners which need attentions. The study contributes to the existing literature on paradox theory and AI, and identifies a few under-discussed areas, drivers, and barriers of AI services are highlighted in the paper, which may lead to ethical concerns and steer AI adoption in healthcare.

Keywords: Artificial intelligence; Drivers; Barriers; Dilemmas; AI strategy; Health system; Adoption (search for similar items in EconPapers)
Date: 2024-01
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Published in Technological Forecasting and Social Change, 2024, 198, pp.122967. ⟨10.1016/j.techfore.2023.122967⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04300238

DOI: 10.1016/j.techfore.2023.122967

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().