Big Data in the social healthcare sector

Dec 14 / 2018
Sala Polivalent del Parc de Recerca UAB

This Brunch discussed the challenges and difficulties of carrying out advanced analytical innovation projects in the healthcare system.

Over the years, the healthcare industry has recorded valuable sets of related data, among others, with medical records and tests and clinical cases of procedures and therapies for the treatment of diseases. But it also generates large amounts related to various healthcare and social functions originating from medical laboratories, pharmacies, and healthcare professionals, as well as surveys of the patients themselves. Big Data Analytics (BDA) technology is currently used to:

  • perform and interpret diagnostic tests, and identify diseases or syndromes
  • better understand and predict diseases
  • suggest the most suitable treatment, based on the records available
  • predict the probable result of therapeutic treatments, foresee outbreaks and inform patients
  • recommend life styles in function of psychosocial, economic and cultural factors
  • personalise and systematise clinical care
  • precisely measure and reduce the adverse effects of drugs
  • develop new drugs
  • optimise clinical trials, identifying new treatment protocols
  • accelerate genomics research
  • promote research and development in other areas and diseases
Experts point out that BDA is capable of transforming the way in which healthcare organisations offer clinical care, and that this may improve the patients’ quality of life and reduce healthcare costs. In fact, crossing these healthcare records with demographic data contributes to improving the management of healthcare services and quality.


Toni Manzano


Co-founder of startup Bigfinite Inc.

Ana Ripoll

Professor of computer architecture and technology and former rector of the UAB

Xavier Rafael

Data scientist at Eurecat

Carles Rubies

Head of projects at the Parc Taulí Digital Medical Imaging Center