Knowledge and perception of healthcare workers towards the adoption of artificial intelligence in healthcare service delivery in Nigeria

Authors

  • Michael Promise Ogolodom Department of Radiography, Faculty of Basic Medical Sciences, College of Medical Sciences, Rivers State University, Port Harcourt, Nigeria. Author
  • Awajimijan Nathaniel Mbaba Department of Radiology, Rivers State University Teaching Hospital, Port Harcourt, Nigeria Author
  • Joy Johnson Department of Medical Laboratory Sciences, PAMO University of Medical Sciences, Rivers State, Port Harcourt, Nigeria. Author
  • Hyacienth Uche Chiegwu Department of Radiography and Radiological Sciences, Faculty of Health Sciences and Technology, Nnamdi Azikwe University, Nnewi Campus, Anambra State, Nigeria. Author
  • Kenneth S. Ordu Department of Anatomy, Faculty of Basic Medical Sciences, College of Medical Sciences, Rivers State University, Port Harcourt, Nigeria. Author
  • Mark C. Okeji Department of Medical Radiography, University of Nigeria, Nsukka, Nigeria. Author
  • Nengi Alazigha Department of Radiology, Rivers State University Teaching Hospital, Port Harcourt, Nigeria Author
  • Elizabeth O. Balogun Department of Radiography and Radiation Sciences, Faculty of Basic Medical Sciences, Ajayi Crowther University, Oyo, Oyo State, Ibadan, Nigeria Author
  • Abdul Fatai K. Bakre Department of Radiography and Radiation Sciences, Faculty of Basic Medical Sciences, Osun State University, Oshogbo, Nigeria. Author
  • Dlama Zira Joseph Department of Radiography and Radiation Sciences, Federal University Lafia, Nigeria. Author
  • Musa Y. Dambele Department of Medical Radiography, Bayero University Kano, Kano State, Nigeria. Author
  • Clement U. Nyenke Department of Medical Laboratory Sciences, PAMO University of Medical Sciences, Rivers State, Port Harcourt, Nigeria. Author
  • Anelechi Kenneth Madume Department of Physiotherapy, , Faculty of Basic Medical Sciences, College of Medical Sciences, Rivers State University, Port Harcourt, Nigeria. Author
  • Catherine Ugwem Jeremiah Department of Nurse Sciences, Rivers State School of Nursing Sciences, Port Harcourt, Nigeria Author
  • Egop Brownson Egop Department of Radiology, Rivers State Government House Clinic, Port Harcourt, Nigeria. Author
  • Anna Daniel Ochong Department of Radiology, Asi Ukpo Hospital, Calabar, Cross River State, Nigeria. Author
  • Victor Kelechi Nwodo Department of Radiography and Radiological Sciences, Faculty of Health Sciences and Technology, Nnamdi Azikwe University, Nnewi Campus, Anambra State, Nigeria. Author

DOI:

https://doi.org/10.62486/agsalud202316

Keywords:

Artificial intelligence, healthcare workers, professions

Abstract

Background: Artificial Intelligence (AI) is seen as the machine that replaces human labour to work for men with a more effective and speedier result. There is a paucity of data on the knowledge and perception of healthcare workers regarding AI technology. This study aims to assess the knowledge and perception of healthcare workers towards the application of AI in healthcare services in Nigeria. Materials and methods: Cross-sectional questionnaire-based survey designed was used to achieve the aim of this study. Both electronic (Google form) and hardcopy version of the questionnaire were distributed to healthcare workers in Nigeria and their responses were retrieved and statistically analyzed. Results: Out of 263 respondents, most 51.3% (n=135) were females. Greater percentage 25.5% (n=67) of the respondents were radiographers, followed by medical consultants 14.8% (n=39) and the least 1.5 %(n=4) were pharmacists. Greater proportion 61 %(n=160) of the respondents has the opinion that AI can be incorporated into all medical specialties. Out of 263 respondents, 51.7% (n=136) had good knowledge of AI and the least 6.4% (n=16) had very poor knowledge of AI. Greater proportion 78.7% (n=207) of the respondents, agreed that AI can help to reduce the number of medical errors. Majority 29.3% (n=77) of the respondents agreed that human specialists will be replaced by AI in the near future. A large proportion 40.3% (n=106) of the respondents agreed that some employers may prefer AI to human specialists because AI has no emotional exhaustion or physical limitation. Conclusion: The respondents in this study showed good knowledge of both the medical areas of applications of AI as well as the benefits of AI application in healthcare services. However, most of the respondents were afraid that their jobs would be taken over by AI in the near future

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Published

2023-10-31

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Original

How to Cite

1.
Ogolodom MP, Mbaba AN, Johnson J, Chiegwu HU, Ordu KS, Okej MC, et al. Knowledge and perception of healthcare workers towards the adoption of artificial intelligence in healthcare service delivery in Nigeria. AG Salud [Internet]. 2023 Oct. 31 [cited 2024 Jun. 16];1:16. Available from: https://salud.journalageditor.org/index.php/salud/article/view/16