MobiGuideProject reference: 287811
Funded under: FP7-ICT
Guiding Patients Anytime Everywhere [Print to PDF] [Print to RTF]
Total cost:EUR 7 068 682
EU contribution:EUR 5 386 996
Topic(s):ICT-2011.5.3 - Patient Guidance Services (PGS), safety and healthcare record information reuse
Call for proposal:FP7-ICT-2011-7
Funding scheme:CP - Collaborative project (generic)
The MobiGuide project has developed an intelligent decision-support system for patients with chronic illnesses, such as cardiac arrhythmias, diabetes and high blood pressure.
The patient wears sensors that can monitor biosignals (e.g. heart rate, blood pressure); these signals are transmitted to their smartphone and from there to a powerful "backend" computer.
The MobiGuide decision-support tool, which also has access to the patient's' historical clinical data, such as their hospital records, analyses the data and alerts the patient about actions that should be taken. It asks the patient questions, in case additional information is needed. The system also makes recommendations regarding lifestyle changes or contacting care providers. All recommendations regarding therapy are transmitted to the patients' care providers.
The recommendations are based on evidence- based, state-of-the-art clinical guidelines. During the project the experts intend to focus on the following clinical conditions: atrial fibrillation, gestational diabetes and gestational hypertension.
MobiGuide (MG) will develop a patient guidance system that integrates hospital and monitoring data into a Personal Health Record (PHR) accessible by patients and care providers and provide personalized secure clinical-guideline-based guidance also outside clinical environments. MG's ubiquity will be achieved by having a Decision Support System (DSS) at the back end, and on the front end by utilizing Body Area Network (BAN) technology and developing a coordinated light-weight DSS that can operate independently. Personalization will be achieved by considering patient preferences and context. Retrospective data analysis will be used to assess compliance and to indicate care pathways shown to be beneficial for certain patient context.\nMG will be validated on pre-selected clinical domains with intensive vs. sparse monitoring to demonstrate the generality of the design and assess functionality, feasibility, and impact.\nMG addresses EU priorities: increasing patient safety, ubiquitous secure access to health care, patient empowerment, developing a common platform for healthcare services, and competitiveness of Europe.\nThe time is right for MG in view of Europe's vast interest in national PHRs and patient empowerment. MG will leverage this momentum to create a solution that goes beyond local proprietary and stand-alone EMR, DSS, and BAN.\nOur team includes complementary partners with diverse experience in: patient guideline-based DSS, focusing on reasoning with patient guideline intentions and temporal patterns, decision-theoretic models, knowledge-data integration, and information visualization Health BAN, telemedicine data analysis for diabetes, telemedicine applications for cardiology and expertise in large system integration to create the secure PHR.
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