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Exploring the perspectives of healthcare professionals regarding artificial intelligence; acceptance and challenges

Authors :
Muhammad Yousif
Saima Asghar
Jamshaid Akbar
Imran Masood
Muhammad Rizwan Arshad
Javaria Naeem
Abdullah Azam
Zakia Iqbal
Source :
BMC Health Services Research, Vol 24, Iss 1, Pp 1-9 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Objectives The main objective of the study was to explore the perspectives of healthcare professionals (HCPs) regarding artificial intelligence (AI) and to identify challenges in its incorporation in the healthcare sector of Pakistan. Methods A qualitative exploratory study design was adopted. The study was conducted from January 15th to February 29th, 2024, and HCPs (doctors, pharmacists and nurses) from two tertiary care teaching hospitals in southern Punjab, Pakistan were taken as the study population. The interviews were conducted with the help of a semi structured interview schema. A thematic approach was adopted to analyse the data. Results Out of 40 HCPs approached, 25 participated in the study with a response rate of 62%. The participants included in the study were doctors (14), pharmacists (6) and nurses (5). The participants had limited knowledge regarding AI and its basics. However, they showed positive perceptions about its incorporation. They believed that many of the problems faced by the healthcare sector of Pakistan can be minimized by AI incorporation. They believed that AI can boost up the efficiency of healthcare providers, reduce their workload, save time and minimize medical errors. Four main themes with multiple subthemes were identified: (1) Cognizance of AI, (2) Acceptability of AI among HCPs and training requirements for effective incorporation, (3) Merits and Demerits of AI, and (4) Challenges in incorporation of AI with proposed solutions. Conclusion HCPs showed a willingness to embrace AI incorporation and believed that it may bring numerous benefits to the health system. Policymakers should take necessary steps to ensure AI incorporation in our healthcare sector.

Details

Language :
English
ISSN :
14726963
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Health Services Research
Publication Type :
Academic Journal
Accession number :
edsdoj.073f3ffc0f1d4ebeb579a8d6e2b8d3b2
Document Type :
article
Full Text :
https://doi.org/10.1186/s12913-024-11667-9