Title: Artificial intelligence application in healthcare management: a review of challenges

Authors: Abbas Sorkhi; Faramarz Pourasghar

Addresses: Department of Health Policy and Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, 5166614711, Iran ' Department of Health Policy and Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, 5166614711, Iran

Abstract: Integrating computers and machines into tasks traditionally done by humans, artificial intelligence offers significant opportunities for economic growth, social progress, and research. In this paper, we explore the challenges of implementing artificial intelligence in healthcare systems management. Through a scoping review using the Arksey and O'Malley protocol, we searched Medline (via Pubmed), Web of Science, Scopus, and Iranian databases from 1996 to 2022. The implementation and application of artificial intelligence in healthcare management present various challenges. These challenges include data collection, data quality, data accessibility, technology evolution, implementation strategies, cost and return on investment, ethical and social concerns, recruitment, and adoption. Addressing these challenges is crucial and may involve addressing data-related issues, providing accurate and comprehensive data to artificial intelligence systems, developing reliable algorithms, and making informed decisions based on artificial intelligence insights.

Keywords: artificial intelligence; deep learning; machine learning; healthcare management; decision making; decision support; implementation challenges; prerequisites of implementation.

DOI: 10.1504/IJHTM.2024.136547

International Journal of Healthcare Technology and Management, 2024 Vol.21 No.1, pp.79 - 88

Received: 28 Jan 2023
Accepted: 11 Oct 2023
Published online: 06 Feb 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article