Real-time data is an important decision support tool that allows employers to be agile and optimize services. During the last decade, researchers have investigated whether big data can help detect epidemics by tracking search engine queries to provide real-time, actionable information for employers.
This data-mining technique, described as infodemiology, uses risk-related keyword search data and has predicted syphilis, measles, and regional COVID-19 outbreaks earlier than routine disease surveillance. It may also help track and manage chronic noncommunicable diseases
and could be especially valuable in disadvantaged areas where conventional surveillance is difficult to conduct. This public health technique can be used by employers to help determine what information is important to employees, especially in light of rapid changes during COVID-19. It can also help predict future demand.