Awareness and Utilization of Artificial Intelligence-Based Systems in Biomedical Translation in Nigeria

Abstract

Good communication can enable better diagnosis, increases patient compliance with treatment recommendations, reduce the medical errors committed by personnel, and stirs positive mood and satisfaction in patients. However multilingual capabilities of AI can facilitate translations into local languages, making healthcare information accessible to a broader patient population. The study investigated the extent of awareness and utilization of artificial intelligence-based systems in biomedical translation amongst health professionals in medical tertiary institutions in Bayelsa State. Descriptive survey design was adopted for this study. Two research questions were raised to guide the study. The population of the study comprised all three hundred and forty-three professionals in the three medical tertiary institutions in Bayelsa State. A sample of 299 respondents were drawn from the population using systematic random sampling technique. The instrument for data collection was a “Awareness and Utilization of Translation APP Scale (AUTAS)” developed by the researcher and validated by experts. The reliability co-efficient of 0.82 was obtained using Cronbach Alpha formula which was considered appropriate for this study. The research questions were answered using mean and standard deviation. The findings revealed that the level of awareness and the extent of utilization of artificial intelligence-based systems in biomedical translation amongst health professionals in medical tertiary institutions in Bayelsa State is low. It was recommended among others that medical professionals should be effectively exposed to artificial intelligence-based systems in biomedical translation as this will enhance sustainability medical practice in Nigeria.

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