Public Health, Occupational Health and Epidemiology Conference

Some of the subtopics include Artificial Intelligence (AI) in public health, as it brings efficiency, accuracy, and proactivity into the solutions to the main healthcare issues. In surveillance, disease forecasting, patient care plans as well as in managing resources AI enhances healthcare by employing data analysis, modeling, and automation. AI applications can examine a vast amount of health data and find correlations that mean people are getting sick, giving public health early indications to respond to it.

Non-communicable diseases are effectively addressed through risk assessment for specific diseases by using patterns within lifestyle, genetic, demographic, or any other relevant data all of which are possible through AI-powered predictive analytics. This makes early detection, and treatment intervention with the aim of preventing diseases and general ill health a success. Further, AI also expedites diagnostics as it can analyze Medical images, laboratory results, and electronic health records to provide swift and precise diagnosis across various ailments.

AI health informatics also enhance efficiency in resource use where scarce resources are available through reduced allocative costs and mapping of gaps in health care access. For example, it may be useful in the identification of the areas that need the most attention with regard to medical supplies and use during disasters to boost the capacity of the health systems.

Virtual health assistants based on AI technologies are increasingly being used in health communication technologies and telehealth, to give patients full access to information and recommendations for self-care 24 hours a day. That way, these tools enhance health literacy or help to gain awareness of health management.

However, there are some ethical concerns that AI has in public health, for example, the privilege of data, the privilege of disclosure, and the privilege to eliminate prejudice between AI algorithms. It is, therefore, up to the public health organizations and policymakers to set up standards and rules concerning AI so that they can have the best approaches to doing it.

Automating and implementing advanced intelligent systems in public health has a revolutionary nature as it puts daily practice on a proactive basis and is an opportunity for better analysis of existing resources, and more effective use of existing and new human resources, which will positively affect the health care system.