Paula De Toledo Heras

Paula De Toledo Heras

Contact Info

De Toledo Heras
Profesor Titular
Ciencia de la Computación e Inteligencia Artificial

Curriculum Vitae

Paula de Toledo is Associate Professor in the Department of Computer Science, at Universidad Carlos III, Spain. She received her DPhil degree in Biomedical Engineering and Telemedicine from Universidad Politecnica de Madrid, following MEng in Telecommunication Engineering.

Paula has twenty years of experience in the use of telehealth systems for chronic disease management, and standards-based interoperability of clinical information systems. Her latest projects have resulted in the development of an "ambient intelligence system" to support elderly people living alone, focusing on methods for anomaly detection from temporal data acquired by simple and inexpensive sensors installed at the home.

Her current research interests are predictive models to detect patient deterioration from monitoring data for both in-hospital and home-based patients, and on the seamless integration of electronic medical health record information into these models. She is also working on the development of "big data" applications for the analysis of electronic healthcare records, with a focus on the prediction of the evolution of chronic patients within a population.

She is the Technical Manager of the Spanish Branch of Integrating the Healthcare Enterprise, an international organization promoting the use of standards for interoperability of in Healthcare Information Systems and e-health. She is a member of the Spanish Standardization Association (Comitee 139, Information and Communication Technologies for Health)

She is currently (2016) an Academic Visitor at the University of Oxford, at the Computational Health Informatics group of the Institute of Biomedical Engineering.


Research Themes

Current research lines: 

  • Machine learning for predictive modelling in healthcare: predictive models to detect patient deterioration from monitoring data for both in-hospital and home-based patients
  • Big data applications in healthcare: using routinely acquired data from the healthcare record to build predictive models of interest for public health
  • Human activity recognition for elderly persons in ambient assisted living settings
  • m-health for chronic disease management
  • Interoperability of Electronic Healthcare Record Systems.
  • Interoperability of Personal Health Systems 


Paula teaches undergraduate courses in programming in several degrees in the field of Industrial Engineering. She also teaches graduate courses in masters run by the computer science department.

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