PERSPECTIVES OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A SYSTEMATIC REVIEW OF THE HEALTHCARE PROFESSIONALS

Authors

  • Nur Anis Izzati Che Mut KPJ Healthcare University
  • Osman Ali Universiti Kuala Lumpur Royal College of Medicine Perak
  • Norhayati Mohd Zain KPJ Healthcare University

DOI:

https://doi.org/10.5281/zenodo.15875913

Keywords:

Artificial Intelligence, Healthcare, Perspective, Healthcare Professionals

Abstract

Today’s technology has reshaped the future of medicine through the advancement in Artificial Intelligence (AI). AI could revolutionize healthcare delivery, improve patient outcomes, and enhance the capabilities of healthcare professionals. This review was conducted to explore the perspectives of AI in healthcare among healthcare professionals. The electronic databases MEDLINE, CINAHL, and manual searches were used to identify relevant articles published between 2013 and April 2023. The keywords used were “artificial intelligence”, “healthcare”, and “perspectives”. Overall, healthcare professionals generally recognize the potential and benefits of AI in healthcare practice. However, some concerns such as lack of familiarity, higher costs for the patient, and ethical and legal problems have been raised. Besides, they also worried that AI may replace their tasks, and impact job security. Despite their positive perspectives towards AI, however, it is also found that they had a lack full understanding of AI due to some concerns that are hindering them. The limited studies that have been conducted in this area have also highlighted the need for further exploration of the level of knowledge among different healthcare professionals. Exploring knowledge of AI in healthcare among healthcare professionals is crucial to identifying gaps, planning educational modules, and promoting responsible AI use.

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Published

2023-12-31

How to Cite

Che Mut, N. A. I., Ali, O., & Mohd Zain, N. (2023). PERSPECTIVES OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A SYSTEMATIC REVIEW OF THE HEALTHCARE PROFESSIONALS. PERINTIS EJournal, 13(2), 76–89. https://doi.org/10.5281/zenodo.15875913