Artificial Intelligence (AI) in Public Health and Healthcare Systems Management

Abstract

Integrating artificial intelligence (AI) into public health and healthcare systems management represents a transformative opportunity to enhance efficiency, improve patient outcomes, and facilitate proactive approaches to health crises. By harnessing machine learning algorithms, predictive analytics, and natural language processing, healthcare professionals can analyze vast datasets to identify trends, optimize resource allocation, and streamline operations. AI applications can assist in disease surveillance, outbreak prediction, and personalized medicine, ultimately enabling a more responsive health infrastructure. However, ethical considerations, data privacy, and the necessity for human oversight must guide the implementation of these technologies. Overall, AI has the potential to transform the healthcare system by improving patient outcomes, reducing costs, and enhancing the overall quality of care. Therefore, there is a dire need for hybrid management to transform their institution into a modern state-of-the-art digital platform to maximize efficiency, economy, better-desired outcomes, and patient satisfaction.