Digital Transformation, Artificial Intelligence and Applications in Healthcare Processes

Objectives
  • To drive innovation in translational research by integrating artificial intelligence (AI) tools into the analysis of biomedical and clinical data.
  • Design and implement predictive models to anticipate clinical outcomes, facilitate patient stratification, optimize therapeutic interventions, and improve the quality of healthcare.
  • Promote the digitization of clinical and research processes with the aim of improving efficiency, quality of care, and the sustainability of the healthcare system.
  • Facilitate integration and interoperability between clinical and research areas, promoting the secondary use of data to generate new knowledge and improve decision-making.
  • Ensure that the use of clinical and research data in our environment complies with ethical and regulatory standards in digital settings, safeguarding the protection of patients’ rights and the integrity of research.
  • Promote inter-institutional collaboration through the integration of projects with universities.
  • Develop a Data Space to facilitate interaction with other regional, national, and European centers, with the aim of fostering joint participation in collaborative development initiatives.

INCLIVA research groups involved
Coordinators

Dr Jose Luis Górriz

Dr Inmaculada Saurí