JADE: A tool for medical researchers to explore adverse drug events using health claims data

D. Edlinger; S.K. Sauter; C. Rinner; L.M. Neuhofer; M. Wolzt; W. Grossmann; G. Endel; W. Gall

doi:10.4338/ACI-2014-04-RA-0036

Applied Clinical Informatics, Table of Contents

Appl Clin Inform 2014; 05(03): 621-629
DOI: 10.4338/ACI-2014-04-RA-0036

Research Article

Schattauer GmbH

JADE: A tool for medical researchers to explore adverse drug events using health claims data

D. Edlinger

¹Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria

,

S.K. Sauter

¹Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria

,

C. Rinner

¹Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria

,

L.M. Neuhofer

¹Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria

,

M. Wolzt

²Department of Clinical Pharmacology, Medical University of Vienna, Austria

,

W. Grossmann

³Research Group Scientific Computing, University of Vienna, Austria

,

G. Endel

⁴Main Association of Austrian Social Security Organizations, Vienna, Austria

,

W. Gall

¹Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria

› Author Affiliations

Abstract

Summary

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.

Citation: Edlinger D, Sauter SK, Rinner C, Neuhofer LM, Wolzt M, Grossmann W, Endel G, Gall W. JADE: A tool for medical researchers to explore adverse drug events using health claims data. Appl Clin Inf 2014; 5: 621–629

http://dx.doi.org/10.4338/ACI-2014-04-RA-0036

Keywords

Patient safety - drug-drug interactions - adverse drug events - adverse drug reaction reporting systems - medical informatics applications

Full Text

References

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