International Journal on Science and Technology

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AI-Powered Population Health Management: Addressing Public Health Challenges with Predictive Insights

Author(s) Arunkumar Paramasivan
Country India
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.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 14, Issue 1, January-March 2023
Published On 2023-02-07
Cite This AI-Powered Population Health Management: Addressing Public Health Challenges with Predictive Insights - Arunkumar Paramasivan - IJSAT Volume 14, Issue 1, January-March 2023. DOI 10.5281/zenodo.14551607
DOI https://doi.org/10.5281/zenodo.14551607
Short DOI https://doi.org/g8wtdg
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