Artificial intelligence application in healthcare management: a review of challenges

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.