The integration of Artificial Intelligence (AI) and Information Systems (IS) is rapidly transforming the field of public health by offering innovative solutions for disease prevention, management, and surveillance. These technologies have the potential to significantly improve health outcomes through real-time disease monitoring, personalized health strategies, and increased efficiency in health interventions. Despite these advancements, there remain critical questions about how best to implement these technologies across diverse populations and health systems. Recent studies have demonstrated the potential of AI and IS to enhance public health outcomes, yet challenges such as data privacy, security, and the equitable distribution of technological benefits persist. Addressing these issues is crucial to fully harness the potential of AI and IS in public health, and there is a pressing need for research that explores practical applications and strategies to overcome these barriers.
This research topic aims to explore how the integration of AI and IS into public applications can transform and enhance the efficacy of public health practices, policies, and education. We seek to answer key questions about the application of these technologies in disease prevention and health promotion at various societal levels. By testing hypotheses related to the effectiveness and efficiency of AI and IS in public health, this research will contribute to a deeper understanding of how these tools can be leveraged to foster a healthier society.
To gather further insights in the intersection of AI, IS, and public health, we welcome articles addressing, but not limited to, the following themes:
• Digital Public Health: Applications of AI and Internet of Things (IoT) to monitor, analyze, and enhance public health outcomes.
• Privacy and Security in Health Systems: Strategies to safeguard health data on digital and IoT platforms.
•AI in Disease Prediction and Prevention: Utilizing machine learning to forecast and mitigate disease outbreaks.
• IoT in Healthcare: Deployment of IoT solutions for continuous health monitoring and patient care enhancement.
• Data Management in Public Health: Techniques for efficiently handling and analyzing large-scale health data to drive public health improvements.
• Public Health Policies and Technology: Examining the influence of AI and IS on formulating public health policies.
• Digital Interventions for Behavioral Health: AI-driven tools for treating substance use disorders and behavioral addictions.
• Public Health Education using AI: Leveraging technology to improve health education and promote wellness.
• AI and IoT in Environmental Health: Using advanced technologies to assess and address environmental health challenges.
• Technological Solutions in Emergency Healthcare: Implementing AI and IoT in emergency response to enhance medical outcomes.
Keywords: information systems, artificial intelligence, public health, information security, health data management, digital public health
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
