While the needs of dependent seniors needs are important in Nursing Home (NH), the medical resources are low in residences located in a medical desert. Access to care in these NH is very unequal and can result in a loss of chance for residents who are immediately transferred to emergency with a risk of iatrogeny or inappropriate hospitalization. Objective: We aim to find new models of care organization to optimize management of elderly in NH thanks to new technologies Artificial Intelligence (AI) associated to telemedicine. Method: Intel@Care is a 3 steps program planned over 5 years : 1- faisability study : Intel@Med-Faisa (2019-2020); 2- proof of concept : Intel@Med-POC with socio-environmental study (2020-2022); 3- efficiency study with medico-economic assessment Intel@Med-Efficiency (2022-2024). Results: Intel@Med-Faisa : 18 residents were included in 2 NHs; 20 additional diagnoses were created to adapt the Artificial Intelligence algorithm to the clinical characteristics of the elderly. Intel@Med-POC: (study in progress): 306 residents to be included to validate development of evidence-based decision tool to help physician to make decisions to manage healthcare interventions, verify the acceptability of the new care organization. A medico-economic study is also conducted. Perspectives : This program aims to secure the use of this tool by professionals and to identify the obstacles and levers about use, perception and find an economic model for the deployment on the territory. In parallel, a clinical research will be conducted in order to adapt this organization to elderly people living at home in medical desert areas.