Dept. of Clinical Pharmacology and Pharmacoepidemiology
Dept. of Clinical Pharmacology and Pharmacoepidemiology
Dept. of Clinical… PhEPI

Pharmacoepidemiology (PhEpi)

The section Pharmacoepidemiology investigates the utilization as well as the benefits and risks of drugs after market approval in the general population. The main objective is to support decisions in individual patients by using big data, for example to identify risk-modulating factors in medication or to identify patients whose medication can be improved. Statistical methods are used for this purpose, for example predictive modeling including machine learning supported by clinical knowledge. Sources for the evidence obtained in this way are, for example, routine data from statutory health insurance funds or hospital data.

 

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Our Vision


We are committed to obtaining comprehensive and valid information on the effectiveness and safety of drugs from routine data. Individual risks and response rates can thus be derived for personalized therapy decisions in new patients.


Our Mission


Using state-of-the-art methods that are partly developed in-house, we make an important contribution to identifying underuse, overuse, and misuse of drugs. Based on these results, we derive improvement strategies and develop predictive models for individualized treatment recommendations.

Areas of interest

Apply state-of-the-art methods of causal inference and predictive modeling to make robust inferences ("real-world evidence") and predictions in routine data.

Efficacy comparisonsValid treatment comparisons from routine dataComparative Effectiveness
Research through controlled analyses 

PharmacovigilanceSignals for medication safety from routine data Real-world associations with adverse clinical events 

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Decision supportIndividual response to drug therapiespredictive modeling to estimate heterogeneous treatment effects 

Real-time monitoringDynamic monitoring of medication and therapyLongitudinal modeling of benefits and risks for intervention options 

PharmacometricsThe right drug in the right doseSimultaneous modeling of drug concentrations and effects over time 

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