Mobile Health (mHealth) is a developing field that can play an important positive role in various domains affecting the individual's health condition (well-being, prevention, management, monitoring or follow-up of known or suspected pathologies) while being economically beneficial to the healthcare system. The use of mHealth (apps or devices) can reduce the number of medical visits, maximizing convenience for the patient while minimizing the cost to the healthcare system. However, various factors prevent to reach this promising potential. The objective of the ApiAppS project is to identify, explore and remove existing scientific obstacles so that general practitioners (GPs) can use a system to be of help in the prescription of mHealth apps/devices adapted to the patient's profile. This system will be interoperable with the information sources used (EMR and medical knowledge databases). Moreover, ApiAppS implementation will take into account the psychosocial context of this prescription (impact on doctor-patient relationship; perceptions, expectations and appropriation of mHealth technologies for both GPs and patients). The assumption we make in the ApiAppS project, is that physicians can play a central role in guiding the choice processes when mHealth use is a possibility/option for better patient health. We believe that it is necessary to move towards a mechanism of technical integration (in practice and patient management softwares) and human integration (in the physician-patient relationship) of mHealth comparable to the mechanism of a usual medical prescription. The Decision Support System for the Prescription of mHealth technologies will cover various health areas and pathology categories. However, at the end of the project, an experiment on a specific chronic disease will be carried out in order to study prescription, effective use and contribution (effectiveness) of certain mHealth apps. This experimentation will be carried out with two panels of users (GPs and patients).