BJAR British Journal of Advanced Research BJAR 3153-709X Ivory and Finch Publishers 10.68263/BJAR-9J6AX89N BJAR_SEP_26_099 Original Research Article ARTIFICIAL INTELLIGENCE (AI) IN PUBLIC HEALTH CARE POLICY AND COMMUNICATION IN PLATEAU STATE: CHALLENGES AND PROSPECTS PYELSHAK YUSUF Department of Health Information Management, School of Health Information Management. Plateau state College of Health Information Management. pyelshaky2014@gmail.com Samuel Irimiya Gonam Department of Health Information Management, School of Health Information Management. Plateau state College of Health Information Management. E.J. Azi Department of Public Health, Faculty of Health Science. Plateau state University Bokkos. Yakubu Ngwan Bala Department of Public Health, School of Environmental Health. Plateau state College of Health Technology Zawan. Iliya Pam Nathaniel Department of Medical Imaging Science, School of Medical Laboratory, Plateau State college of Health Technology Zawan Moses Gonzwal Joshua Department of Epidemiology and Disease Control, Federal College of Veterinary and Medical Laboratory Technology, Vom Beatrice Daniel Gyang Department of Public Health Plateau State College of Health Technology Zawan 10 10 2026 1 4

Technological Advancement in Artificial Intelligence (AI) is redesigning healthcare communication worldwide, a key aspect of enhancing public health. This study analyzed current health communication policies to bring out areas where AI-driven approaches are yet to be addressed. In Plateau State, integrating AI into health communication policies brings both opportunities and hurdles. The study examined how AI can increase health communication initiatives in Plateau state, particularly through AI tools that enhance the spread of health messages, patient education, and public awareness campaigns. The study highlighted setbacks in implementing AI technologies, including limited infrastructure, inadequate data management, and a shortage of skilled professionals. The paper also presented the potential of Artificial Intelligence (AI) to transform health communication. It suggested policy guidelines to support its integration while reducing risks. Additionally, it recommended policy changes, training, and cooperation among stakeholders to leverage AI's power in health communication. In Nigeria, the outlook for AI in health communication is optimistic, assuming focused investments in technology, training, and regulatory reforms.

 Artificial intelligence Health Care communication Policy Challenges Prospects. 30 09 2026 05 10 2026 Copyright © 2026 by the authors This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. References Adebayo, A. M., Owoaje, E. T., & Dairo, M. D. (2019). Health communication and public compliance with health policies: Evidence from Nigeria. Journal of Health Communication, 24(11), 889–895. https://doi.org/10.1080/10810730.2019.1655916 Adebayo,K.,Ojo,J.A.,&Akintayo,C.O.(2021).Predicting disease outbreaks using machine learning: A focus on cholera and malaria in Nigeria. Nigerian Journal of Clinical Practice, 24(3), 509-516. Adeyemi, O., Olayiwola, E.,&Akinkunmi, A.(2020).The application of artificial intelligence in radiology: A review of progress in Nigeria.Journal of Medical Imaging and Radiation Sciences, 51(2), 145–151. Akinwunmi, B.,&Akinyemi, J.(2020).Assessing health literacy among Nigerian citizens: A systematic review. Nigerian Journal of Health Education, 15(3), 1–14. Enemuo, C.I., Ezeanyi, B.C. & Ezeaka, N.B (2019). Extent of Information Communication Technology(ICT) Integration among students in Tertiary Institutions in Anambra State. International Journal of Education and Research 7(7), 75–84. Eze,A.,Okeke,M.O.,&Agunwamba,J.C.(2021).Infrastructureandhealthcare transformation In Nigeria: Exploring the inadequacies and opportunities for AI adoption.International Journal of Health Management and Information, 6(1), 23-35. Ezeaka, N.B., &Ochuba, C.C. (2024). Harnessing AI in Development Communication for Drug Abuse Prevention: A Nigerian Perspective. Mass Media Review Vol 6 (1) Ezeaka, N.B & Nwodu, E.G(2022). Communication for Partnership in Development. In A.N Nwammuo, G.UNwafor&B.NOgbonna(eds), Twenty-One Scholars’ Viewpoints on Development Communication.Enugu: RhyceKerexPublisher Ezebuenyi,E.E&Ezeaka,N.B.(2015).DiffusionofSocialChangeCampaignsinRural Communities:TheCriticalRoleofTrado-ModernMediaApproach.MassMediaReview(2)169-81 Ezeoke,C.B.,Ezeaka,N.B.,&Nwodu,G.E.(2020).UnderstandingHealthCommunication.In C.S. Okunna (ed.), Communication and Media Studies, Multiple Perspectives. Enugu: New Generation Educare Ltd. Ibrahim, A. A., Aderibigbe, B., & Olowookere, S. A. (2022). Bridging the skills gap in healthcare AI: A systematic review of training programs in Nigerian institutions. Health Informatics Journal, 28(1), 146-162. Ndukwe, C. D., Ajuwon, A. J., & Alabi, O. (2020). Challenges and prospects of health communication in Nigeria: The role of information technology. Journal of CommunicationinHealthcare,13(2),65-72.https://doi.org/10.1080/17538068.2020.1792547 Nwachukwu, C. C., Oloyede, O. O., & Nduka, F. (2022). Addressing the AI skills gap in Nigeria's healthcare sector: Role of education and training. Journal of Healthcare Engineering, 2022, Article ID 9788704. Nwafor, C., Eze, O., & Agbo, G. (2023). Data privacy and security in AI healthcare applications: Ethical considerations in the Nigerian context. Nigerian Journal of Health Policy and Management, 4(1), 15-28. Nwankwo, E. (2022). Misinformation and its effects on health decisions in Nigeria: Policy recommendations. African Journal of Health Management, 8(1), 25–31. Ogunyemi, A., Igbokwe, I.,&Adeyemi, M.(2021).Public Health and Misinformation: Lessons from the COVID-19 pandemic in Nigeria. International Journal of Public Health, 66, 640344. https://doi.org/10.3389/ijph.2021.640344 Oluikpe, P. I., Talabi, F. O., & Idowu, O. (2022). Leveraging local innovations in AI for healthcare: The Nigerian experience. Global Health Action, 15(1), 2042176. Okoroiwu, H., Ogujiofor, G. A., & Udeh, E. (2023). Regulatory frameworks for artificial intelligence in healthcare: Emerging trends and challenges in Nigeria. Nigerian Journal of Legislative Studies, 12(2), 32–45.