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ADDIS: A decision support system for evidence-based medicine

2012; Elsevier BV; Volume: 55; Issue: 2 Linguagem: Inglês

10.1016/j.dss.2012.10.005

1873-5797

Gert van Valkenhoef, Tommi Tervonen, Tijs Zwinkels, Bert de Brock, Hans L. Hillege,

Biomedical Text Mining and Ontologies

Clinical trials are the main source of information for the efficacy and safety evaluation of medical treatments. Although they are of pivotal importance in evidence-based medicine, there is a lack of usable information systems providing data-analysis and decision support capabilities for aggregate clinical trial results. This is partly caused by unavailability (i) of trial data in a structured format suitable for re-analysis, and (ii) of a complete data model for aggregate level results. In this paper, we develop a unifying data model that enables the development of evidence-based decision support in the absence of a complete data model. We describe the supported decision processes and show how these are implemented in the open source ADDIS software. ADDIS enables semi-automated construction of meta-analyses, network meta-analyses and benefit–risk decision models, and provides visualization of all results.