On June 30th at 2 pm, the CMU Portugal Large Scale Collaborative Project IntelligentCare will host a hybrid final workshop at Hospital da Luz Lisboa Auditorium 2. The event aims to present the closing remarks and results of the IntelligentCare project, bringing together e members of the consortia and a diverse audience.
The IntelligentCare project, promoted by Hospital da Luz Learning Health, is dedicated to developing a patient-centric solution for managing Multimorbidity (MM). By utilizing analytical methods to explore data from the electronic health records (EHR) and the remotely reported patients measures through smart sensors and mobile solutions, the project aims to enhance the lives of patients living with MM.
The collaborations involve researchers from Hospital da Luz Learning Health, the Institute of Robotic Systems of Instituto Superior Técnico (ISR Lisboa), INESC-ID, Heinz College (CMU), and Priberam. Clinical teams from Hospital da Luz Lisboa, with the support of the Information Systems and Technologies (DSTI), Planning and Business Intelligence (DPIN), and Health Value Management (DGVS) divisions of the Luz Saúde group, were actively involved in the project.
Key achievements under the IntelligentCare project include:
- Early-stage identification and characterization of patients with multimorbidity
- Evidence-based suggestions of clinical pathways to guide treatment
- Predictive insights on interactions with the hospital
The workshop aims to provide the audience with an understanding of the challenges associated with health data research and offer insights into the main results achieved by the IntelligentCare project. Attendees will gain valuable knowledge on the transformative potential of patient-centric solutions and analytical insights in managing multimorbidity.
More about the project
The growing population aging with multimorbidity (MM) hinders the sustainability of the healthcare sector. MM is typically associated with high healthcare usage and costs, which do not always translate to better patient outcomes. Consequently, there is a significant need to develop new tools to manage this condition. The application of artificial intelligence (AI) techniques in healthcare is a topic that promises to revolutionize healthcare as we know it today. Using real-life health data for research and AI projects presents several challenges and opportunities. The IntelligentCare project aims to develop a patient-centric and personalized tool to manage MM using AI methods to explore data from electronic health records as well as measures reported remotely by patients (sensors and questionnaires). In this final workshop, we intend to present the main results from the project IntelligentCare.
The IntelligentCare – Intelligent Multimorbidity Management System – the project is co-financed by the European Regional Development Fund (ERDF) through the Operational Program for Competitiveness and Internationalisation (COMPETE 2020) and by the Portuguese Foundation for Science and Technology (FCT) under the CMU Portugal Program.