Development of tools to support the medical decision-making process in hospital logistics and health prevention programs based on machine learning and artificial intelligence.

  • Erazo Padilla, Nilson Sebastian (PI)

Project: Research Project

Project Details


The present project seeks to model the problem of rationalizing risk screening examinations with random risk restrictions for a set of pathologies within the framework of health prevention programs.

The main objective is to develop a structure of tools to support medical decision making in hospital logistics for the rationalization of
examinations and the assignment of treatments, based on artificial intelligence models and data analytics that can be integrated into the information and management systems in institutions providing health services.


Machine learning, Hospital logistics, Health prevention,
Artificial intelligence, Bayesian Inference, rationalization of
medical exams.
Effective start/end date9/28/219/28/23

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Main Funding Source

  • Installed Capacity (Academic Unit)


  • Bogotá D.C.


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