Pharmacoepidemiological studies rely on various sources of data to evaluate the safety, effectiveness, and patterns of medication use in real-world populations. In addition to established databases and ad hoc data sources, automated data systems play a crucial role in providing valuable information for these studies. Automated data systems, such as electronic health records (EHRs), claims databases, and prescription databases, offer structured and readily accessible data that can be used for robust pharmacoepidemiological analyses. In this article, we will explore the significance of automated data systems in pharmacoepidemiological research and highlight some examples of their utilization.
PATH: PHARMD/ PHARMD NOTES/ PHARMD FIFTH YEAR NOTES/ PHARMACOEPIDEMIOLOGY AND PHARMACOECONOMICS/ AUTOMATED DATA SYSTEMS.