Safecering
Improve the safety and quality of healthcare
Challenge
The increase in population aging, the growing scarcity of health professionals, together with the need to register all medical/clinical acts, has been exerting considerable pressure on health systems and on the ability to assist patients with high quality standards. In fact, it is estimated that: (a) in 2050, only in the European continent, the level of dependence of the elderly reaches an index higher than 50%; (b) in 2035, according to WHO, there will be about 13 million professionals missing in the world health system; (c) each health professional currently spends about 30% of his time on administrative tasks.
Solution / Main Objective
The SafeCaring project has been taking advantage of the latest technological innovations in computational Vision to assist professionals in monitoring dependent users (avoiding potential incidents such as falls or pressure ulcers), alerting professionals to the need for possible interventions (e.g. positioning the user), and with natural language processing techniques, accelerating the registration of interventions. The project is based on a multidisciplinary methodology, promoting, in addition to technological research, which will ensure the quality and safety of the system, the implementation of mechanisms that guarantee ethical and legal aspects, as well as the regulatory compliance of medical devices. The test of the solution is also promoted in a real environment, with an impact assessment associated with it.
Objectives, Activities and Expected Results / Achieved
Specific objectives expected:
OE1 – research and development of AI algorithms for detecting clinical interventions;
OE2 – research and development of AI algorithms for issuing alerts and reminders;
OE3 – ensure compliance with ethical, privacy, AI and medical devices (DM) regulations;
OE4 – assess the impact of the implementation of the solution;
OE5 – Promote visibility.
Project reference
CENTRO2030-FEDER-01184900
Financing
Intervention Region
National
Total Investment
919.640,00
GPH investment
93.072,00
Total Eligible
919.640,00
Eligible GPH
93.072,00
EU financial support - Total
738.888,68
EU Financial Support - GPH
63.081,13
Duration
30 Months
Start Date
2024-10-01
End Date
2027-03-31
Date of Approval
2024-09-27
Consortium
Proveled Comet, Lda
GPH – Laboratory Services, Lda
Holy Every Misericordia of the Mealada
Pedro Nunes Institute
University of Coimbra
Website
Keywords
Health digitisation;
Computer vision;
Artificial Intelligence.
