IntelligentCare – precision medicine in multimorbity (IntelligentCare)

Type: National Project Project

Duration: from 2020 Apr 01 to 2023 Jun 30

Financed by: Feder/OE

Prime Contractor: GLSMED LEARNING HEALTH, S.A (Company)

Project Web Site:

The growing population with multimorbidity is a worldwide problem to the sustainability of the healthcare system. This is a result of the significantly high healthcare usage and costs associated, which are often not related to better outcomes. Consequently, there is a need to develop new tools to manage this condition. IntelligentCare project aims to develop a patient centric solution to manage multimorbidity condition using artificial intelligence (AI) methods to explore data from the electronic health records (EHR) and measures reported remotely by the patients related to outcomes (PROMs) and to life events and quality of life, named as additional value variables (AVVs). This project has three main goals: (1) Early signalization and characterization of patients using the EHR, PROMs/VAVs and a risk score (multimorbidity clusters), (2) identify personalized clinical pathway for each cluster based on evidence (approach “patients like me” and not “one fits all”) and (3) monitor and predict hospital interactions combining EHR data with PROMs/AVVs reported systematically. To achieve this goals research will be conducted in AI algorithms, particularly deep learning methods, in order to fully explore EHR data (structured and unstructured) and patient reported measures, PROMs and AVVs. This is an innovative approach which will evaluate the multimorbidity condition introducing the concept of value to the patient in the process to characterize and predict patient interaction with the hospital, in order to define risk scores. Consequently, the IntelligentCare project will add value with methodologies to improve patient outcomes with multimorbidity, evaluating the healthcare delivery using patient reported measures and, based on patient risk scores, contribute to hospital resources optimization.


  • H - Hospital da Luz (Company) - Lisboa, Portugal
  • Institute for Systems and Robotics (ISR-Lisboa) (Other)
  • Priberam Informática (Company) -Portugal
  • R - INESC-ID Lisboa (Other) - Lisboa, Portugal
  • U - Instituto Superior Técnico, Universidade de Lisboa (University) - Lisboa, Portugal

Principal Investigators