Clinical decision support systems (CDSSs) have been hailed for their potential to reduce medical errors and improve the quality and safety of health care. CDSSs aim to assist clinicians in their decision making and take over some routines including diagnostic support. This paper presents a design of a generic medical platform to assist clinicians in their clinical reasoning process. Our platform aims to guide clinicians in the process of gathering relevant information and to help them in their decision making. It exploits two sources of knowledge namely: theoretical knowledge (clinical rules) and practical knowledge (clinical experiences) by relying on RuleBased Reasoning and Case-Based Reasoning, respectively. moreover, we utilize the semantic web and ontologies for knowledge modeling in order to reuse and to share knowledge.

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The aim of this paper is to describe an original approach which consists of designing an Information Gathering System (IGS). This system gathers the most relevant information related to the patient. Our IGS is based on using questionnaire ontology and adaptive engine which collects relevant information by prompting the whole significant questions in connection with the patient' s medical background. The formerly collected answers are also taken into consideration in the questions selection process. Our approach improves the classical approach by customizing the interview to each patient. This ensures the selection of all of the most relevant questions. The proposed IGS is integrated within E-care monitoring platform for gathering lifestyle-related patient data.