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. 2024 Jul;34(4):313-320.
doi: 10.4314/ejhs.v34i4.7.

Assessment of Knowledge, Practice, Perception, and Expectations of Artificial Intelligence in Medical Care among Staff of a Tertiary Hospital

Aondona David Daniel  1 , Akwaras Nndunno Asheku  1 , Yohanna Stephen  2 , Gyuse Ngueikyor Abraham  3 , De-Kaa Niongun Lawrence Paul  1 , Laadi Terrumun Swende  1 , Ornguga Bamidele Ohiozoje  1 , Grace Nwunuji Rimamnunra  4 , Ngbede Matthew Ocheifa  1
Affiliations

Assessment of Knowledge, Practice, Perception, and Expectations of Artificial Intelligence in Medical Care among Staff of a Tertiary Hospital

Aondona David Daniel et al. Ethiop J Health Sci. 2024 Jul.

Abstract

Background: Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI technology has wide applications in biomedicine and has real practical benefits in many medical applications. The aim was to assess the knowledge, practice, perception, and expectations about AI technology among staff of Federal Medical Centre Makurdi Benue state, Nigeria.

Methods: This was a descriptive cross-sectional study over a period of three months from March to May 2023. The respondents were 18 years and above. The questionnaire was self-administered employing convenience sampling method to recruit responders. Data analysis was done using SPSS version 20.

Result: A total of 384 respondents were recruited. The mean (SD) age of the respondents was 42.3(±11.1). Most were aged 41-50 (34.4%). There were more females (56% (215)). Most of the respondents (69% (264)) attested to knowing AI technology. However, the majority (87% (231)) of the 264 respondents who knew about AI technology did not have in-depth knowledge. Regarding practices, more than half of the respondents (55.3%) did not think AI makes their task easy. The majority of the respondents (90.3%) believed AI technology is essential in the medical field and most of the respondents (12.2%) were expecting to acquire AI technology skills in the future.

Conclusion: The in-depth knowledge of AI technology was low. Most of the staff thought that AI technology did not make their task easy although they believe AI is essential in medical field and they expect the acquisition of more skills on AI technology in future.

Keywords: Artificial intelligence; expectation; knowledge; perception; practice.

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Figures

Figure 2
Figure 2
Expectation of Respondents to AI
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References

    1. Syed W, Basil A, Al-Rawi M. Assessment of awareness, perceptions, and opinions towards Artificial Intelligence among healthcare students in Riyadh, Saudi Arabia. Medicina (Kaunas) 2023;59(5):828. doi: 10.3390/medicina59050828. - PMC - PubMed
    1. Shinners L, Grace S, Smith S, Stephens A, Aggar C. Exploring healthcare professionals' perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool. Digit Health. 2022;8:20552076221078110. doi: 10.1177/20552076221078110. - PMC - PubMed
    1. Botwe BO, Akudjedu TN, Antwi WK, Rockson P, Mkoloma SS, Balogun EO, et al. The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers. Radiography. 2021;27(3):861–866. - PubMed
    1. Al Saad MM, Shehadeh A, Alanazi S, Alenezi M, Abu alez A, Eid H, et al. Medical students' knowledge and attitude towards Artificial Intelligence: An online survey. The Open Public Health J. 2022;15(1) DOI: 10.2174/18749445-v15-e2203290.
    1. Kebede T, Zewdeneh D, Atnafu A, Admassie D, Asefa G, Gorfu Y, et al. The journey of Radiology in Ethiopia. Ethiop J Health Sci. 2022;32(1):69–76. doi: 10.4314/ejhs.v32i1.11S. - PMC - PubMed

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