Traditional methods of data collection in epidemiology often involve time-consuming and labor-intensive processes. Digital labeling simplifies these tasks by automating data collection, thereby minimizing human error and bias. For example, EHRs can automatically capture and categorize patient information, making it easier for researchers to access large datasets.
