JADE: a tool for medical researchers to explore adverse drug events using health claims data
| Autor: | Christoph Rinner, Gottfried Endel, Doron Edlinger, Simone Katja Sauter, Wilfried Grossmann, Walter Gall, Lisa Maria Neuhofer, Michael Wolzt |
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| Rok vydání: | 2013 |
| Předmět: |
Biomedical Research
Drug-Related Side Effects and Adverse Reactions JADE (programming language) Health Informatics computer.software_genre Logistic regression 03 medical and health sciences Patient safety Electronic Prescribing 0302 clinical medicine Health Information Management Electronic prescribing medicine Prevalence Adverse Drug Reaction Reporting Systems Data Mining Electronic Health Records Humans 030212 general & internal medicine Medical diagnosis computer.programming_language business.industry Insurance Benefits Number needed to harm medicine.disease 030210 environmental & occupational health Computer Science Applications Clinical trial Austria Cohort Research Article – ehealth2014 special topic Medical emergency Data mining Medical Record Linkage business computer Software |
| Zdroj: | Applied clinical informatics. 5(3) |
| ISSN: | 1869-0327 |
| Popis: | SummaryObjective: 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: 621–629http://dx.doi.org/10.4338/ACI-2014-04-RA-0036 |
| Databáze: | OpenAIRE |
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