Research Projects

  • Project name: Epidemiological monitoring platform for COVID-19 positive patients (April 2020)
    • Description: This project aims to create a comprehensive platform to monitor positive COVID patients in order to capture data on the evolution of symptoms and new symptoms presented by patients infected with the coronavirus. Additionally, the project considers the use of Big Data and Artificial Intelligence to identify symptom trends.
  • Project name: Applying artificial intelligence techniques to support decision-making in lung cancer treatment in Chile (March 2020)
    • Description: This project’s objective is to apply artificial intelligence techniques (such as Deep Learning) to identify new information to support decision-making regarding treatments to combat lung cancer in Chile. Currently, we are working with demographic and genomic datasets of more than 2,000 Chilean patients.
  • Project name: Using implementation and dissemination sciences to build high-quality software for the healthcare domain (November 2019)
    • Description: This project consists of translating health implementation and dissemination strategies into requirement elicitation techniques to detect and characterize the healthcare domain’s critical requirements. Additionally, it aims to define guidelines to support software providers in building high-quality software in clinical institutions.
  • Proyecto CENS (Centro Nacional en Sistemas de Información en Salud). Agosto 2019-presente.
    • Descripción: CENS – es una corporación sin fines de lucro, formada por las Universidades de Chile, Católica, de Concepción, Valparaíso y Talca, con el apoyo de CORFO, para desarrollar estrategias y actividades que permitan alcanzar un sistema de salud más conectado, innovar a través de las tecnologías de información en salud, cerrar las brechas en conocimiento y aplicación de sistemas de información en salud, y crear criterios para asegurar la calidad de dichos sistemas.
    • Investigación: métricas e instrumentos para medir calidad en Registro Clínico Electrónico.
  • TacPat4SS (Empirical comparison of tactics and patterns for building secure Systems). FONDECYT, March 2014 – March 2017.

    • Description: Identify methodologies, techniques and other systematic approaches for building software secure systems, characterizing them according to the scientific evidence of its results and industrial adoption.