On Wednesday, July 8, DARE will be present at the 23rd World Congress of Gerontology and Geriatrics in Amsterdam, within the symposium “Development of valid digital tools for older persons“.
Prof. Lorenzo Chiari (University of Bologna, President of Fondazione DARE) will present:
“Technology Meets Geriatrics: The DARE Framework for Lifelong Prevention and Care.“
Abstract: The rapid demographic shift towards ageing populations challenges health systems worldwide, calling for innovative models of care. DARE – Digital Lifelong Prevention, funded by the Italian Ministry for University and Research within the National Complementary Plan (2022-26), represents one of the most ambitious national efforts to leverage digital technologies for healthy ageing and prevention. Its framework integrates a federated cloud-native data platform, machine learning pipelines, and digital biomarkers derived from wearables and sensors, aiming to support personalized risk prediction and early intervention across the life course. Within geriatrics, DARE pilots focus on preventing falls and fractures, mobility decline, cognitive impairment, and multimorbidity, illustrating how digital twins, real-world data, AI, and telemedicine can enable proactive, patient-centered care. This talk will discuss the role and impact of such innovations, exploring opportunities and challenges for their translation into clinical practice and public health strategies for older adults.
The same symposium will feature Prof. Giuseppe Liotta (University of Rome Tor Vergata), presenting the DARE pilot project ANCHISE:
“Testing digitally supported strategies to integrate social and health care to facilitate the home discharge of complex medical patients with or without social support.“
Abstract: The Italian Ministry of Health reported high rates of hospitalization among older adults, with many patients experiencing discharge at an approximate cost of €1.5 billion per year. In 2022, at the Tor Vergata University Hospital in Rome, hospitalizations longer than the DRG reference time were 3.4%, with an average length of stay of 15.6 days, for a total of 11,585 excess hospital days. As part of the DARE project, the Department of Biomedicine and Prevention has developed a Risk Analysis Model for Inappropriate Use of Hospital Services (RAMIS) based on machine learning procedures to identify patients at the time of admission who are likely to remain hospitalized beyond the DRG threshold. These patients are included in the Continuum of Care promoted by ANCHISE. This aims to integrate social and health care to facilitate the return home of patients with complex clinical conditions and/or a lack of social support.