About us  eHealth R&D 

The mission of the eHealth R&D group is to support our partners and customers in improving how healthcare is delivered by exploring new technologies and turning them into applied research solutions. This will increase their competitiveness through new and innovative technological services aimed to improve the efficiency and quality of healthcare services.

Our vision is to become a reference for both healthcare and social care by delivering ICT technologies that brings value to all of the stakeholders: users, healthcare organizations, social workers and their providers.


We lead the way toward a preventive, predictive, participatory, personalized and evidence based medicine, while improving the quality of life for the elderly and for people with functional diversity and chronic conditions. Our technological expertise is supported by some of our healthcare services providers, hospitals, clinicians and life science researchers, which allows us to evolve our orientation and approach from the needs and requirements of medical and assistive practices.

Our specialization, which lies in the convergence of engineering and biology, specifically in the application of knowledge engineering in the biomedical field, is relevant in the context of the current challenges of our society. This requires solutions to optimize quality and efficiency of healthcare.

The group develops and manages health projects in collaboration with leading institutions, universities and companies in the field of e-health.


The eHealth R&D group focuses in the following research lines:

Personalized Computational Medicine (PCM) Integrated Continous Care (ICC)

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Active Independent Living (AIL)


Mr. Felip Miralles
Head of eHealth R&D 
email: fmiralles[at]bdigital.org


We are experts in:

  • Technologies for rehabilitation support and remote therapy
  • Interoperability of medical applications and electronic health records
  • Evidence-based medical decision support systems
  • Medical-oriented social networks
  • Accessible and assistive technologies for the elderly and the disabled
  • Ontologies for representing medical knowledge
  • Technologies for supporting nutritional research