Due to population ageing and advances in medical science, people with chronic diseases –including advanced severe life-threatening chronic diseases- live longer. Challenges are how to sustain quality independent living for the patient; support caregivers facing an increasing burden; create sustainable healthcare and social care systems with limited resources. ADLIFE aims to provide a solution for the integration of therapies and approaches targeting early detection and assessment of deterioration, advanced and well-coordinated care planning and integrated supportive care to enhance quality of life, reduce suffering and accelerate recovery for these patients and their families. It will deploy developed and validated personalised digital solutions for integrated supportive care based on H2020 projects C3-Cloud and Power2DM, previously tested in two health systems. The ADLIFE Toolbox solutions include: a Personalised Care Plan Management Platform, Clinical Decision Support Services; Interoperability Solutions and Patient Empowerment Platform with Just-In Time Adaptive Intervention Delivery Engine. The ADLIFE system will be deployed through large-scale pilots in 7 countries and Health Systems, involve 577 healthcare professionals from 75 hospitals, clinics and primary care services. It will prove that intelligent, collaborative digital solutions can enable care teams, patients and caregivers to improve or better maintain health in patients with advanced chronic disease (over 200,000 in the participating regions). It will test its effectiveness in 882 patients and 1243 caregivers. ADLIFE will demonstrate significant outcomes-based efficiency gains in health and care delivery enhancing seamless care coordination, avoiding gaps and overlaps in care. The ADLIFE ICT Toolbox and the evidence behind this digitally-enabled approach from the 7 reference sites will be strongly disseminated to multiple stakeholders and decision makers in Europe both online and in-person actions

CAREPATH proposes an ICT-based solution for the optimization of clinical practice in the treatment and management of multimorbid patients with Mild Cognitive Impairment or mild dementia. Such solution is targeting a more complex multimorbidity scenario and follows an integrated patient-centered approach, in order to develop a flexible and modular system to deliver a best care, adapted framework for increasing the independence and Quality of Life (QoL) of multimorbid patients with dementia. The proposed solution exploits the IONIS, C3-Cloud and imergo®-ICP healthcare platforms (whose three coordinators belong to the CAREPATH consortium) and provides a holistic environment for both healthcare providers and patients, efficiently addressing the joint multimorbidity and dementia challenges. To demonstrate and validate its results, CAREPATH will focus on combining multimorbid conditions, in different levels of complexity, and in combination with dementia. As such, CAREPATH will consider conditions such as Diabetes, Hypertension, Heart failure, Atrial Fibrillation, Chronic Obstructive Pulmonary Disease, Asthma, or Chronic Kidney Disease. The CAREPATH pilots will take place in four European countries (Spain, Romania, Germany and UK) with diverse health and social care systems, ICT landscape/digital maturity of healthcare provision and dementia national programs. The pilots will strengthen the evidence base on associated health outcomes and efficiency gains. CAREPATH will also elaborate on a methodology for computer interpretable clinical guidelines and computationally derived best clinical practice for the improved management of elderly multimorbid patients with dementia. It will develop Quality Key Performance Indicators for such a guideline-driven clinical practice and patient-centered integrated care delivery. In addition, the relevant health economic impacts of the solution, in terms of cost effectiveness and care provision inequalities will be assessed.

STAGE aims to demonstrate the importance and feasibility of a life-course approach to prevent accelerated ageing, as defined by the accumulation of multi-morbidity, and to integrate knowledge into transferable person-centred solutions for early diagnosis and screening, treatment and long-term management of multi-morbidity. To achieve this, STAGE is proposing a life-course approach to better understand ageing with multi-morbidity, providing evidence-based solutions to support the transformation of healthcare to address the profound health and demographic challenges ahead. The approach capitalises on European collaborations of longitudinal cohorts and biobanks spanning the entire life-course, actioning exposome and disease networks trajectory analysis, as well as, the biology of ageing, to explore how a person develops ageing with multi-morbidity. The project objectives integrate an ethical, social, historical, and infrastructural framework; environmental, epidemiological and biological life-course approaches; artificial intelligence powered integrated person-centred solutions and applications; cohort-based clinical studies; and a FAIR (findable, accessible, interoperable and reusable) life-course health and geospatial data portal with robust management, dissemination, engagement and exploitation activities. STAGE's evidence-based methods will translate into a person-centred prevention and care intervention in longitudinal cohorts in Finland and Germany, co-designed with citizens, patients, healthcare providers, SMEs, and policymakers. It will also embed social sciences and humanities and engage stakeholders to develop a neighbourhood healthy ageing index, person-centred predictions of multi-morbidity, and healthcare and policy recommendations. Ultimately, STAGE will create solutions for agile, high-quality, person-centred health and care services that are life-course and gender sensitive, needs-based, and designed to enhance resilience and participation.

Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and the quality of patient care. Current solutions provide limited scalability and are confined to isolated applications. Scalable models that address data sharing, integration, privacy, and ethics are needed to to ensure better adoption of AI in healthcare. The AICCELERATE project introduces an approach for scaling up AI-enabled digital solutions for different hospital use cases. AICCELERATE will develop partners’ existing digital solutions further to enable the development of a Smart Hospital Care Pathway (SHCP) Engine. This engine serves as a toolset for AI models and robotics to improve quality of care and health outcomes. It will also enable lean management and effective decision-making. These tools are tested in three pilots that (will) provide feedback for improving the SHCP Engine: (i) patient flow management for ER and surgical units, (ii) digital care pathway for Parkinson’s disease, and (iii) paediatric service delivery. AICCELERATE provides an adaptable model for varied clinical use cases to enhance patient-centric digital care pathways and to optimize patient flow management. Patient empowerment and evidence-based trust towards AI is a key part of the project. The pilots are carried out by 5 hospital partners: Helsinki Univ. Hospital and Oulu Univ. Hospital in Finland, Ospedale Pediatrico Bambino Gesù in Italy, Barcelona Children's Hospital in Spain, and Univ. hospital Università degli Studi di Padova in Italy. The other partners of the consortium consist of; Erasmus Univ. Rotterdam from Netherlands, a RTO Fundació Eurecat from Spain, a Spanish non-profit TICBioMed, 6 SMEs aiming to advance the digitalization of the European healthcare services: Chino from Italy, Symptoma from Austria, Nuromedia from Germany, SRDC from Turkey, Evondos from Finland, NeuroPath from Belgium, and 2 large enterprises NEC Laboratories Europe from Germany and Innofactor from Finland.