International Journal on Science and Technology (IJSAT) E-ISSN: 2229-7677 ● Website: www.ijsat.org ● Email: editor@ijsat.org IJSAT23011235 Volume 14, Issue 1, January-March 2023 1 AI-Powered Population Health Management: Addressing Public Health Challenges with Predictive Insights Arunkumar Paramasivan Senior Data Engineer Amazon Abstract PHM, in essence, therefore, forms one of the key aspects of contemporary health care systems with goals of enhancing the health status of entire communities. Applying AI for PHM has been identified as a new generation thatausess insight and data fordecision-makingg to solve multifaceted problems in public health. In this paper, the author is trying to understand how the use of AI technologies and methods assists in the early detection of threats to health, efficient utilization of available resources and encouragement of prevention measures. Through applying big data, analytics, artificial intelligence and robotic processing, AI automates, optimizes and transforms care delivery while involving patients as daily managers. The literature review is provided in the paper, the methodologies are described, and the outcomes of real-life AI applications in PHM are discussed. Ethical issues, data limitations, patient privacy, and potential algorithms’ self-learning are also discussed, along with ways of addressing these issues. Application of AI in PHM exhibits promising features in revolutionizing global public health through the provision of recommendations that inform practice change. Keywords: Artificial Intelligence (AI), Population Health Management (PHM), Predictive Analytics, Machine Learning (ML), Health. 1. Introduction Population health management is the practice of managing the health outcomes of a targeted population with the aim of eliminating gaps, either at primary, secondary or tertiary levels, managing chronic diseases, or offering preventive care. As the application of information technologies has advanced, [1- 4],PHM strategies have shifted to utilize a large amounts of data obtained from EHRs, wearable technologies and population-based surveys 1.1. Importance of Population Health Management Population Health Management (PHM) is a preventive and health-enhancing strategy aimed at creating healthier populations of people by focusing on the population's multifaceted and evolving health needs encompassing medical, psychosocial, lifestyle, community, and environmental aspects in aggregate and possible interactions. PHM is one of the central activities in creating effective and sustainable healthcare services delivery when prices rise, chronic diseases emerge, and inequalities in healthcare services accessibility are present. Below are key aspects that illustrate the importance of PHM: