IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON HEALTHCARE JOBS AND TRAINING IN BAYELSA STATE, NIGERIA.

Abstract

The impact of Artificial Intelligence (AI) on healthcare delivery systems is perceived to be complex and a double edge sword with both potential benefits and obstacles capable of transforming the entire health sector. With this, healthcare workers are now faced with the task of upgrading themselves with AI-driven skills. This study examined the impact of AI on the healthcare jobs and trainings in Bayelsa state, Nigeria. Adopting the Socio-Technical System theory, the study provided a theoretical background, explaining how Ai-based training, skills as well curriculum is now part and parcel of healthcare sector. The STS theory provided a background to the rationale behind the relationship between health workers” productivity/efficiency and job displacements and the use of AI. Due to the nature of the population which comprises non-healthcare workers and healthcare workers the Yaro Yemeni's formula was used to determine the population sample of 400 respondents. However, the random and stratified sample technique was used for easy access of every character in the sampled population. Primary data were collected with the use of a structured questionnaire and were analyzed with use simple percentage, mean, standard deviation, tables, charts, and the Pearson product moment correlation with the aid of SPSS. Findings from the survey revealed that the application of AI in healthcare delivery services has drastically both a positive and negative impact on healthcare workers’ productivity and efficiency. Conversely, the study confirmed that the use of AI has resulted to increase in job loss among healthcare workers. It is therefore recommended that all health organization in Nigeria, should design a clear organizational approach for AI integration with the aim of improving AI literacy and adaptability among both the healthcare workers and non-healthcare workers.

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