OBJECTIVE: The objective of our project was to create a tool for physicians to 
explore health claims data with regard to adverse drug reactions. The Java 
Adverse Drug Event (JADE) tool should enable the analysis of prescribed drugs in 
connection with diagnoses from hospital stays.
METHODS: We calculated the number of days drugs were taken by using the defined 
daily doses and estimated possible interactions between dispensed drugs using 
the Austria Codex, a database including drug-drug interactions. The JADE tool 
was implemented using Java, R and a PostgreSQL database.
RESULTS: Beside an overview of the study cohort which includes selection of 
gender and age groups, selected statistical methods like association rule 
learning, logistic regression model and the number needed to harm have been 
implemented.
CONCLUSION: The JADE tool can support physicians during their planning of 
clinical trials by showing the occurrences of adverse drug events with 
population based information.