Healthcare workers' knowledge and attitudes regarding artificial intelligence adoption in healthcare: A cross-sectional study

The study highlights the critical need for targeted educational interventions to bridge the knowledge gaps among healthcare professionals regarding AI adoption. The findings reveal that younger healthcare workers, those in full-time employment, and individuals with exposure to AI through conferences or research are more likely to possess good knowledge and hold positive attitudes towards AI integration. These results suggest that policies and training programs must be tailored to address specific demographic differences, ensuring that all groups are equipped to engage with AI technologies. Moreover, the study emphasizes the importance of continuous professional development, which could foster a workforce capable of harnessing AI's potential to improve patient outcomes and healthcare efficiency.

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Publication Details

Journal
Heliyon
Published
2024-11-29
DOI
https://doi.org/10.1016/j.heliyon.2024.e40775
Citations
28
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.37
Controls
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article

Healthcare workers' knowledge and attitudes regarding artificial intelligence adoption in healthcare: A cross-sectional study

Md. Abdun Noor, Shuvashish Das Bala, Moustaq Karim Khan Rony, Sumon Ahmad et al.
28 citations
Heliyon
Artificial Intelligence in Healthcare and Education
3.37
article

Healthcare workers' knowledge and attitudes regarding artificial intelligence adoption in healthcare: A cross-sectional study

Md. Abdun Noor, Shuvashish Das Bala, Moustaq Karim Khan Rony, Sumon Ahmad, Mst. Rina Parvin, Md. Taohidul Islam, Khadiza Akter, Fateha Tuj Johra, Muhammad Join Uddin, Fazila Akter, Latifun Nesa, Sabren Mukta Tanha, Most. Tahmina Khatun, Jeni Begum
article en
28 citations

Abstract

The study highlights the critical need for targeted educational interventions to bridge the knowledge gaps among healthcare professionals regarding AI adoption. The findings reveal that younger healthcare workers, those in full-time employment, and individuals with exposure to AI through conferences or research are more likely to possess good knowledge and hold positive attitudes towards AI integration. These results suggest that policies and training programs must be tailored to address specific demographic differences, ensuring that all groups are equipped to engage with AI technologies. Moreover, the study emphasizes the importance of continuous professional development, which could foster a workforce capable of harnessing AI's potential to improve patient outcomes and healthcare efficiency.

HeliyonVol. 10(23)
Shahjalal University of Science and Technology (BD), Rajshahi Medical College (BD), Leading University (BD), Western Norway University of Applied Sciences (NO), Daffodil International University (BD), University of Dhaka (BD), North East University (BD), Combined Military Hospital (PK), Bangladesh Open University (BD), International University of Business Agriculture and Technology (BD), Child Health Research Foundation (BD), Sylhet International University (BD)
Gender equality
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.37
DOIOpen Access PDFOpenAlex
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