Since AI comes with an automated process, it can reduce the burden of manually analyzing data. A faster and more efficient detection of disease outbreaks can be achieved by analyzing large datasets. Some of the patterns that human analysts cannot easily notice can be detected by AI algorithms.
Using AI technology will also facilitate the collaboration of different counterparts that may need to be involved in epidemic surveillance. Those can be different healthcare providers, departments and agencies. By sharing outbreak alerts and relevant information in a timely manner, AI systems can improve the overall response to disease outbreaks.
AI can reduce the reliance on human intervention in epidemic surveillance systems. Since the analysis of data can be done with automated processes and it is effective in pattern recognition, AI can overcome the challenges of weak health systems. And it can provide the information needed to detect the disease accurately and in a timely manner.
We can use AI technology to enhance surveillance methods by using huge data sources. The sources can be updated with new articles and systematic electronic health records. By using those data, the disease trends can be quickly understood. This comprehensive and real-time information enables us to take proactive measures accordingly.
The use of AI in public health surveillance raises ethical considerations such as privacy, consent, and potential discrimination. It is crucial to deploy AI technologies to maintain and promote equity for all individuals.