e-SAAD system
Abdelweheb Gueddes, Mohamed Ali Mahjoub · 2019
In the first generation of interventions and home support, the needs were triggered generally by phone call and they are described orally. In most cases, there is no registered information about the patient's conditions or medical history. The interveners are either from the private or state health sector. Despite the fact that there are people who can intervene quicker than others, yet they have not been recruited, or work as professional liberal. With the development of technology, systems based on data mining or artificial intelligence have been developed to focus on the intervention's time for example. Although intervention and home-based care are the subject of many studies [1], the resolution of the overall decision-making problem is not sufficiently developed. On the one hand, the state of health presupposes the definition of a patient. There is a set of parameters characterizing the habits of daily life of the person analyzed in parallel with the evolution of physiological and environment. On the other hand, it is necessary to take into consideration the medical Core, his location, his profile not only his professional status but also his abilities and skills that are not explicitly described in his curriculum. Different studies and systems exist in the literature [2]. Each of his studies tackles only a part of the parameters. Indeed, these studies consider either the monitoring of daily activities, the monitoring of physiological data or other environmental parts. Either they consider the specificities of the medical Core's profile, or these systems use a probabilistic data mining that involves many interactions with the experts to interpret the data, either wise an expert system based on the inference rules defined by the medical experts. In addition, most systems do not use controlled vocabulary that provides semantics needed. This complicates information sharing and collaborative work. The objective of the e-SAAD project is to propose a methodological process to facilitate the analysis and procedure of intervention systems and home support. The process should identify the generic and specific aspects of each part. The patient's data set, profile, history, its environment and location should be taken into consideration. As well as the service providers, their profiles, their skills and essentially their availability and locations. These models must be open to be adapted to new data sources.