Epistemonikos.org Website Review

Combines THE BEST OF EVIDENCE-BASED HEALTH CARE, INFORMATION TECHNOLOGIES and A NETWORK OF EXPERTS to provide a unique tool for. people making decisions concerning clinical or health-policy questions. All of the evidence relevant for health decision-making, including world's largest systematic review database, curated and annotated by Articles are connected, so you can easily move from any article to all the evidence answering the same question. You can see the forest, not Find what you are looking for using our multilingual foolproof search tools. Searching for the best available evidence has never been As far as I am aware, Epistemonikos is the first, systematic, machine-as*isted attempt to identify and address duplication and waste Iain Chalmers Founder of the Cochrane Collaboration 1st Cochrane lecture, 20th Cochrane Colloquium Epistemonikos is an important new innovation in the world of accessing evidence Epistemonikos has become one of the largest databases of health evidence, a user friendly source that includes over 100,000 systematic reviews and hundreds of thousands of individual studies. Apart from the amount of information, Epistemonikos is unique in a number of ways. First, it caters to non-English speaking users - you can conduct your search in any of 9 languages. Second, a matrix of evidence tool facilitates quick searching and updating. The tool identifies all systematic reviews that address a particular question, and all the studies included in those reviews, displaying a cross-tabulation of reviews and studies. It also allows you to stay up to date: after you save your search, any new review will appear automatically. Gordon Guyatt Distinguished University Professor at McMaster University in Hamilton, Ontario. Pioneer in evidence-based medicine, Epistemonikos is innovative both in simultaneously searching multiple resources and in indexing and interlinking relevant evidence.....for example, Epistemonikos connects systematic reviews and their included studies, and thus allows clustering of systematic reviews