D. Edlinger (1), S. K. Sauter (1), C. Rinner (1), L. M. Neuhofer (1), M. Wolzt (2), W. Grossmann (3), G. Endel (4), W. Gall (1)
(1) Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria; (2) Department of Clinical Pharmacology, Medical University of Vienna, Austria; (3) Research Group Scientific Computing, University of Vienna, Austria; (4) Main Association of Austrian Social Security Organizations, Vienna, Austria
Patient safety, Medical informatics applications, drug-drug interactions, adverse drug events, adverse drug reaction reporting systems
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.
S. L. Kane-Gill (1, 2), A. M. MacLasco (2), M. I. Saul (3), T. R. Politz Smith (2), M. A. Kloet (2), C. Kim (2), A. M. Anthes (2), P. L. Smithburger (1, 2), A. L. Seybert (1, 2)
Appl Clin Inform 2016 7 3: 660-671
H. Pirnejad, Z. Niazkhani, M. Berg, R. Bal
Methods Inf Med 2008 47 4: 336-345
M.-C. Beuscart-Zéphir (1), Peter Elkin (2), Sylvia Pelayo (1), Regis Beuscart (1)
Yearb Med Inform 2007 : 109-127