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Updated: Mar 11, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
[Future Perspective of Pharmacoepidemiology in the "Big Data Era" and the Growth of Information Sources]
Diego Macías Saint-Gerons1, César de la Fuente Honrubia2, Fernando de Andrés Trelles3
1División de Farmacoepidemiología y Farmacovigilancia. Agencia Española de Medicamentos y Productos Sanitarios (AEMPS). Madrid. España.dmacias.sg@gmail.com.
Abstract:
The arrival of new drug into the market requires many years of previous research along with the need of continuous evaluation throughout the lifetime of the drug. This warrants pharmacoepidemiological research which may be defined as the study of the use and the effects of drugs in large populations. Nowadays this type of research seems more feasible thanks to the massive expansion of the information sources and data (e.g: clinical patient registries, electronic medical records). However there is a risk of information overload, fragmented evidence and given the enthusiasm aroused by the "Big Data", it must be emphasized that its nature is mainly observational, and therefore subject to bias and confusion. The application of epidemiological methods in this scenario seems essential for any analysis. In short, the management and use of these data sources to generate useful information expansion is the next challenge for the application of research methods in modern pharmacoepidemiology.
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