Abstract-In some countries the domain of medical care is characterized by difficulty, dynamism and diversity. In the 21 st century healthcare represents different challenges (increasing cost of care, population growth and lack of caregivers). For that, cooperation in the Agent Technology can provide better healthcare than the traditional medical system. In fact, Intelligent Agents properties (sociability, proactivity, autonomy) and the features of Multi Agent Systems (management of distributed information, communication and cooperation between different entities) are a good option to solve several problems in the hospital organization. As examples of problems, which appear in the hospital, we cite: collaboration between hospital wards, elaborations of medical diagnostics, coordination among medical entities and the collection of information about patients etc. In this regard, we propose a new medical system called MMAS (Medical MultiAgent System). The proposed system is complex; it integrates Multi-Agent System in healthcare in order to make care as efficient as possible.Index Terms-Healthcare, agent technology, multi agent system, medical-multi-agent system.

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In areas of medical diagnosis and decision-making, several uncertainty and ambiguity shrouded situations are most often imposed.In this regard, one may well assume that intuitionistic fuzzy sets (IFS) should stand as a potent technique useful for demystifying associated with the real healthcare decision-making situations. To this end, we are developing a prototype model helpful for detecting the patients risk degree in Intensive Care Unit (ICU). Based on the intuitionistic fuzzy sets, dubbed Medical Intuitionistic Fuzzy Expert Decision Support System (MIFEDSS), the shown work has its origins in the Modified Early Warning Score (MEWS) standard. It is worth noting that the proposed prototype effectiveness validation is associated through a real case study test at the Polyclinic ESSALEMA cited in Sfax, Tunisia. This paper does actually provide some practical initial results concerning the system as carried out in real life situations. Indeed, the proposed system turns out to prove that the MIFEDSS does actually display an imposing capability for an established handily ICU related uncertainty issues. The performance of the prototypes is compared with the MEWS standard which exposed that the IFS application appears to perform highly better in deferring accuracy than the expert MEWS score with higher degrees of sensitivity and specificity being recorded.

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