Traditional methods of data collection often involve manual entry, which can be time-consuming and prone to errors. Automated tools utilize electronic health records (EHRs) and real-time data feeds from wearable devices and social media. This not only accelerates the data collection process but also ensures a higher level of accuracy. For example, systems like syndromic surveillance can automatically gather and analyze data from emergency departments to detect unusual patterns that may indicate an emerging public health threat.
