Responding to the challenges of ageing populations on the increase of chronic diseases and shortage of healthcare workers

The Health sector counts with more than 16 years of experience developing research and innovation projects related with life and care sciences, in topics like, medical data interoperability, information management, artificial intelligence for precision medicine, remote monitoring and patient assistance. In the last years, we are focusing on blockchain-based federated databases, bioinformatics, algorithms and big data development for omics data analysis..



  • Research on ICT services and application (big-data, data interoperability, artificial intelligence, IoT, blockchain) in the biomedical domain for the improvement of services for doctors, researchers and patients.
  • Direct application of knowledge and research results to the development of innovative solutions and services.
  • Technology transfer from research projects to Atos customers in the field.
Main Activities: 
  • Transformation of semi-structures data to standardised common data models.
  • Data acquisition, curation and integration of biomedical  data.
  • Medical data secure transations based on federated architectures.
  • Internet of the Things data and EHRs integration.
  • Artificial Intelligence for Medical Decission Support and Knowledge Extraction
  • Use of eHealth standards to provide semantic interoperability
  • Big data medical integration and sharing
  • Artificial Intelligence for unveiling biomedical complexity.
  • Blockchain based architecture for patient empowerment and data sharing.
  • Ubiquitous and mobility-proof networks to keep actors connected anytime anywhere (m-health).
  • Connected health, well-being and prevention.
  • Patient empowerment, patient centered and connected patient.
  • Data-driven for digital health transformation.
Current Research Topics and Findings: 
  • Interoperability layer based on SNOMED & LOINC medical dictionaries, standards for medical devices communication and electronic health records interoperability
  • BiggEHR: Data acquisition, curation and integration of biomedical  data, based on HL7 RESTfull transformation to generate structured data ready for data analysis.
  • Pocket mHealth, a patient-centered solution, empowers patients in the management of their own Electronic Health Record (EHR) and connecting with different Hospital Information Systems (HIS)



Collective wisdom driving public health policies
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Integration of high volumes of health-related heterogeneous data from multiple sources with the aim of supporting policy making decisions.



Frailty care and well function
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Development of a tool to integrate and query human phenotypic data in order to early detect frailty. The goal is to permit intervention on it and the associated diseases to prevent or delay the onset of disability.


Encouraging the re-use of research data generated by publically funded research projects
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Aims at joining efforts to facilitate researchers to share and reuse databases derived from publicly funded research, within a secure environment, to accelerate the discovery and investigation of chronic diseases.


Harmonization and integrative analysis of cohorts on primary Sjögren’s Syndrome
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Development of a platform with open standards and tools, designed to enable secure storage, governance, analytics and controlled sharing of information of primary Sjogren Syndrome.


Personal decision support system for heart failure management
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Development of a personal health system for congestive heart failure (CHF) that features a Decision Support System based on predictive computer models.


Implementing Responsible Research and Innovation (RRI) through co-creation of smart futures with industry and citizens.


Wellbeing, Health and Safety @ Work
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Prevention of work-related injuries with a platform that combines Big Data, wearable sensors, IoT technology, and ergonomics to monitor workers and detect threats to their health.