Physicians use natural language to record patient data in electronic medical files but they scarcely ever use the coding tools available to them as they find them awkward. As a consequence they do not use standard terminological repositories to encode their inputs, thus failing to meet an essential requirement for the interoperability of health information systems. This hinders accessing and using patients' information for all the automated patient support assistance and medical decision making applications (e.g., aids to therapeutic strategy, contra-indications checking for prescription, patient record synthesis), with plausibly important detrimental effects on individual patients' fates as well as on Public Health indicators. The SIFaDo project intends to design and evaluate methods and tools to make immediately useful and easy -- even possibly fun -- the entry of textual or graphical data to be structured and coded in electronic medical files. It gathers the competences of nine partners : four academic partners from medical and scientific institutions (Medical Informatics, Human-Machine Interfaces, Ergonomics), four industrial partners (Medical Practice Software, Hospital Information Systems, Shared Medical Records, Health Knowledge Bases), and a medical society of general practitioners. The SIFaDo project will bring the design of original methods for the entry of structured and encoded medical data based on a combination of innovating approaches (e.g., reducing the dimension of search spaces for classification, integrating probability models and statistical data, using graphical user interfaces some of which will be based on the iconic language VCM developed by one of the partners). The proposal and the selection of methods will depend on the analysis of users' needs and will be based on the ergonomic evaluation of these methods (user-centric design). Once selected, the methods will be specified and implemented by the industrial partners. The resources needed for the implementation will be made available in a "resource box". The implemented tools will be evaluated in terms of user performance, of encoding quality, and of long term use. The selected methods and the results of their evaluation will constitute the scientific output of this project. The industrial output will consist in several commercial software products for general medical practice and hospital medicine, together with an acquired expertise on project management in the domain of shared medical records.

Prevention is central for the national health strategy. The e-health tools may be useful to change the medical practice and to make patient involved in prevention. The objective of PEPS is to develop computer based tools to make effective the prevention approach for both physician and patient. The patient will have a prevention plan made with the physician and in accordance with the content of evidence based practice guidelines and tools to manage it. The project will provide solutions to the problems related to the collection of interoperable data, construction of decision rules, building customized prevention plans, monitoring of prevention, feedback to the physician and the patient. The consortium brings together complementary skills for this project: 2 Inserm units involved in e-health (LIMICS, CIC-IT Biosensors and e-Health, Innovation and Practice), 3 industrials in the e-health sector (CompuGroup Medical Solutions , Silk Computing, Vidal), and the College of General Practice. The PEPS project is organized around 8 tasks: - a task of coordination (T1), - a task for needs analysis allowing to identify the functional specifications of the platform PEPS, the roles and preferences of the various users and the ergonomic specifications of the interfaces (T2), - a task of data capture modelling and the specification of helping tools for prevention (T3), - a task of knowledge base development containing the rules of prevention and a Web service to reach prevention initiatives from a patient profile (T4), - a task of collaborative construction of a plan of prevention personalized (PPP) from the proposed prevention initiatives and the preferences of the patient (T5), - a task of integration of the PPP in the patient record (T6), - a task of integration in the PPP of tools of documentation, generation of alerts, follow-up, re-motivation on the platform PEPS ( T7) and finally of a task of experiment and validation led together with the CMG and the CISS, Interassociative Collective on the health, so demonstrating the usability and the interest of the platform for the healthcare professional in cabinetor in multi-professional nursing homes and for patient (T8). The expected impacts from the project are important. At the scientific level, the PEPS project will be a contribution to the implementation of solutions of interoperability for the re-use of healthcare data within the framework of prevention. The project is innovative at the methodological level offering a user-centered conception of "persuasive" innovative medical tools. At the industrial level, an enrichment of the patient record will be done by the introduction of prevention services. At the societal level, the platform PEPS will give healthcare authorities the possibility of influencing the healthcare professionals and the population thanks to the availability of indicators and to the better knowledge of the practices in the field of the prevention and will allow the citizen to become a main actor of his prevention in a simple, reliable and guided way.

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).