MobiGuide: Guiding Patients Anytime Everywhere


The aim of the MobiGuide project is to develop an intelligent decision-support system for patients with chronic illnesses. The system accompanies the patients wherever they go and helps them and their care providers in managing their illness, whether they are at home, at work, out and about or travelling abroad on holiday or for business.

MobiGuide aims to

  • reduce healthcare costs
  • increase compliance to clinical guidelines
  • reduce the risks to patients
  • increase patients’ satisfaction

MobiGuide (FP7-287811) is a supported project under the European Commission 7th Framework Programm, Collaborative projects - Large-scale integrating project (IP).


MobiGuide LogoMobiGuide (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.

MG 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.
MG addresses EU priorities: increasing patient safety, ubiquituous secure access to health care, patient empowerment, developing a common platform for healthcare services, and competitiveness of Europe.
The 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.


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Paolo Federico, Jürgen Unger, Albert Amor-Amorós, Lucia Sacchi, Denis Klimov, Silvia Miksch, "Gnaeus: utilizing clinical guidelines for a knowledge-assisted visualisation of EHR cohorts", Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA), pp. 79-83, 2015. paper
Martin Röhlig, Martin Luboschik, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch, "Analyzing Parameter Influence on Time-Series Segmentation and Labeling", Poster Proceedings of the IEEE Visualization Conference (VIS), 2014. paper Preview
Simone Kriglstein, Margit Pohl, Nikolaus Suchy, Johannes Gärtner, Theresia Gschwandtner, Silvia Miksch, "Experiences and Challenges with Evaluation Methods in Practice: A Case Study", Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV '14), pp. 118-125, 2014. paper
, "Knowledge Representation for Health Care, 6th International Workshop, KR4HC 2014, held as part of the Vienna Summer of Logic, VSL 2014, Vienna, Austria, July 21, 2014. Revised Selected Papers", Lecture Notes in Computer Science, vol. 8903, pp. 175, 2014. paper
Wolfgang Aigner, Stephan Hoffmann, Alexander Rind, "EvalBench: A Software Library for Visualization Evaluation", Computer Graphics Forum, vol. 32, pp. 41-50, 2013. paper Talk @EuroVis 2013
David Riano, Richard Lenz, Silvia Miksch, Mor Peleg, Manfred Reichert, Annette Teije, "Process Support and Knowledge Representation in Health Care", Lecture Notes in Artificial Intelligence, pp. 159, 2013. paper
Peter Bodesinsky, Paolo Federico, Silvia Miksch, "Visual Analysis of Compliance with Clinical Guidelines", Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), pp. 12:1–12:8, 2013. paper
Richard Lenz, Silvia Miksch, Mor Peleg, Manfred Reichert, David Riano, Annette Teije, "Process Support and Knowledge Representation in Health Care: BPM 2012 Joint Workshop, ProHealth 2012/KR4HC 2012", Lecture Notes in Artificial Intelligence, 2013. paper
Silvana Quaglini, Yuval Shahar, Mor Peleg, Silvia Miksch, Carlo Napolitano, Mercedes Rigla, Angels Pallàs, Enea Parimbelli, Lucia Sacchi, "Supporting Shared Decision Making within the MobiGuide Project", Proceedings of the AMIA Annual Symposium, pp. 1175-1184, 2013. paper
David Riano, Annette Teije, Silvia Miksch, Mor Peleg, "Knowledge Representation for Health-Care", Lecture Notes in Artificial Intelligence, vol. 6512, pp. 153, 2011. paper
Margit Pohl, Silvia Wiltner, "How to Investigate Interaction with Information Visualisation – an Overview of Methodologies", Proceedings of the INTERACT Workshop on Building Bridges – HCI and Visualization, 2011. paper