Development of new predictive models to improve the efficiency and effectiveness of care processes
NEPREM-CARE Project funded by CDTI
About the project
The project aims to develop two predictive models: the first focused on the prediction of hospital readmissions after patient discharge; the second focused on the prediction of scheduled surgery cancellations.
The models will be developed using artificial intelligence techniques and advanced analysis of clinical and demographic data.
Partners
The NEPREM-CARE project is an international and interdisciplinary initiative formed by two partners:
- At DOOLE HEALTH we are responsible for leadership and coordination, as well as the technological development of the predictive models.
- TIPS is our international partner, an Argentine company specialising in digital solutions for clinical and hospital management. TIPS was created as an initiative of the Hospital Privado Universitario de Córdoba, a leading hospital in healthcare provision, teaching and research. TIPS will provide access to the clinical and operational data required for the development of the predictive algorithms.