AN INVESTIGATION ON THE ARCHITECTURE OF PUBLIC HEALTH INFORMATION SYSTEM BY USING ARTIFICIAL INTELLIGENCE
The development of public health information systems is crucial in addressing global health challenges. The advancement of artificial intelligence (AI) has opened up new opportunities for designing and improving public health information systems. In this study, we investigate the architecture of public health information systems using AI. We explore the potential of AI-based technologies such as machine learning, natural language processing, and computer vision in enhancing the efficiency, accuracy, and accessibility of public health information systems. We conduct a comprehensive review of existing literature and identify key challenges and opportunities associated with integrating AI in public health information systems. We also present case studies of successful implementation of AI-based public health information systems in various contexts. Our findings suggest that AI has the potential to significantly enhance the architecture of public health information systems and improve the quality and accessibility of health information for the general public and healthcare professionals. However, there are also challenges such as data privacy and ethical concerns that need to be addressed in the development of AI-based public health information systems. Overall, this study highlights the importance of integrating AI in public health information systems and provides insights into the potential benefits and challenges of AI-based technologies in this domain.
Artificial Intelligence, Health Information, Investigation, Architecture, ML in Healthcare,