INTEGRATING AI INTO HEALTH INFORMATICS FOR ENHANCED PUBLIC HEALTH IN AFRICA: A COMPREHENSIVE REVIEW

Obe Destiny Balogun, Oluwatoyin Ayo-Farai, Oluwatosin Ogundairo, Chinedu Paschal Maduka, Chiamaka Chinaemelum Okongwu, Abdulraheem Olaide Babarinde, Olamide Tolulope Sodamade
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Abstract

This study delves into the integration of Artificial Intelligence (AI) within the field of health informatics and its transformative effect on public health outcomes in Africa. It will cover how AI-driven solutions are being implemented to overcome challenges in disease surveillance, healthcare delivery, and public health policy. The paper aims to provide an in-depth analysis of current innovations, the effectiveness of these technological interventions, and their broader implications for health policy and management across the African continent. The integration of Artificial Intelligence (AI) into health informatics holds transformative potential for enhancing public health in Africa. This comprehensive review explores the multifaceted applications, challenges, and opportunities associated with the convergence of AI and health informatics on the African continent. The review encompasses various domains, including disease surveillance, diagnostics, treatment optimization, and public health management. Key themes addressed in the review include the adoption of AI-driven technologies in healthcare, the impact on disease detection and monitoring, and the potential for improving healthcare accessibility in resource-constrained settings. Moreover, the ethical considerations, regulatory challenges, and disparities in technology adoption across diverse African regions are examined, providing insights into the complexities of implementing AI in the African public health landscape. Through an in-depth analysis of current initiatives, case studies, and emerging trends, this review aims to contribute a comprehensive understanding of the opportunities and challenges associated with integrating AI into health informatics for the advancement of public health in Africa. Ultimately, this exploration seeks to inform policymakers, healthcare professionals, and researchers on the critical role AI can play in addressing public health challenges on the continent and fostering sustainable healthcare solutions. Keywords:  Artificial Intelligence, Health Informatics, Health Management, Africa, Review, Disease Surveillance.
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将人工智能纳入卫生信息学以加强非洲的公共卫生:综述
本研究深入探讨了人工智能(AI)在卫生信息学领域的整合及其对非洲公共卫生成果的变革性影响。它将涵盖如何实施人工智能驱动的解决方案,以克服疾病监测、医疗保健服务和公共卫生政策方面的挑战。本文旨在深入分析当前的创新、这些技术干预措施的有效性及其对整个非洲大陆卫生政策和管理的广泛影响。将人工智能(AI)融入卫生信息学具有变革性的潜力,可提高非洲的公共卫生水平。本综述探讨了与非洲大陆人工智能和卫生信息学融合相关的多方面应用、挑战和机遇。综述涵盖疾病监测、诊断、治疗优化和公共卫生管理等多个领域。综述涉及的关键主题包括在医疗保健领域采用人工智能驱动的技术、对疾病检测和监控的影响,以及在资源有限的环境中改善医疗保健可及性的潜力。此外,还研究了非洲不同地区在采用技术方面的伦理考虑、监管挑战和差异,从而深入了解在非洲公共卫生领域实施人工智能的复杂性。通过对当前倡议、案例研究和新兴趋势的深入分析,本综述旨在帮助人们全面了解将人工智能融入卫生信息学以促进非洲公共卫生发展所带来的机遇和挑战。最终,这一探讨旨在让政策制定者、医疗保健专业人员和研究人员了解人工智能在应对非洲大陆公共卫生挑战和促进可持续医疗保健解决方案方面可发挥的关键作用。关键词 人工智能 健康信息学 健康管理 非洲 综述 疾病监测
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