This paper provides an overview and update on my PhD re-search, which focuses on developing an experience-based clinical decision sup-port system (CDSS) that extends the implemented clinical practice guidelines knowledge. This method relies on the capitalization of clinicians’ experience. First, a decisional event structure is presented, which models the required in-formation involved in a decision-making process. This information includes the implicit knowledge related to the clinicians’ know-how. Second, a method to process this information and create new experience-based rules is presented. Third, a quality assessment algorithm is introduced to score the experience-based rules based on previous patients’ outcomes. Supervisors: Brigitte Séroussi, Nekane Larburu, Jacques Bouaud