Computer Interpretable Guidelines (CIG) are an emerging area of research, to support medical decision making through evidence-based recommendations. However, 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 an 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).