ADDIS: A decision support system for evidence-based medicine

Abstract

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.

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

“…A review of literature in the area of mobile technology adoption for learning purposes reveals a lack of emphasis given to investigate the influence of information and system quality. SIQ is given much more focus when it comes to design and development of sophisticated information system, for instance an enterprise resource planning and decision support system (Olson & Staley, 2012;Van Valkenhoef, Tervonen, Zwinkels, De Brock, & Hillege, 2013). Consideration needs to be given to the analysis and design efforts, bearing in mind that essential qualities such as reliability, accuracy, relevancy, flexibility, and timeliness are essential.…”

An Empirical Study of Factors Affecting Mobile Wireless Technology Adoption for Promoting Interactive Lectures in Higher Education

“…Development of information systems such as an enterprise resource planning and decision support systems focuses greatly on the system analysis and design phases, an indication of the importance of system and information quality as predictor of acceptance (Olson & Staley, 2012;Van Valkenhoef, Tervonen, Zwinkels, De Brock, & Hillege, 2013). System and information qualities, such as reliability, flexibility, timeliness, input and output accuracy, and pleasing interface design are therefore essential.…”

Pharmacologic therapies for severe steroid refractory hospitalized ulcerative colitis: A network meta‐analysis

“…The protocol of this meta‐analysis has not been published or registered to any databases. A random‐effects network meta‐analysis using the Bayesian Markov chain Monte Carlo method was performed with ADDIS 1.16.1, and further details can be found at drugis.org . Inconsistency and node‐splitting models were applied to assess the consistency of the RCTs included in the network.…”