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Sunday, 17 December 2017


Pubblication Details
Authors:Alessio Bottrighi
Giuliana Franceschinis
Laura Giordano
Stefania Montani
Luca Piovesan
Luigi Portinale
Stefania Rubrichi
Salvatore Spinella
Matteo Spiotta
Paolo Terenziani
Daniele Theseider Dupré
Scientific Area:Artificial Intelligence
Knowledge Representation
Medical Informatics
Title:Advances in the GINSENG Project (Exteded Abstract)
Published on: Proc. IEEE Intern. Conference on Healthcare Informatics (ICHI 2014)
Tipo Pubblicazione:Paper on Proceedings International Conference
Abstract:Computer Interpretable Guidelines (CIG) are an emerging research area, to support medical decision making through evidence-based recommendations. New challenges in the data management field have to be faced, to integrate CIG management with a proper treatment of patient data, and of other forms of medical knowledge. The GINSENG (GuIdeliNe SEcoNd Generation) project aims at setting the ground for the proposal of a four-year European project (in the HORIZON 2020 context) coping with such issues. The “visionary” idea underlying our long-term research proposal is that, to achieve a significant step forward in the state-of-the-art, it is important to provide a homogeneous approach integrating (at least) three different aspects (which have been often considered in isolation by the Medical Informatics literature): (1) Computer Interpretable Guidelines, (2) Treatment of patient data, and (3) Treatment of “basic” medical knowledge (BMK).