RETENTION

heaRt failurE paTient managEment and iNTerventIOns usiNg continuous patient monitoring outside hospitals and real world data

Abstract

Heart failure (HF) is a prominent chronic disease, despite efforts in improving its prevention, diagnosis and treatment, represents the leading cause of disability and premature death throughout the world, while being is a heavy burden on health systems due to the multiple, prolonged hospitalizations required for patients suffering from it and the related management costs. Nevertheless, studies have shown that routine patient-physician or patient-nurse communication following discharge can result in significant reduction of hospitalizations. The pertinent collected patient data may include simple yet important information (e.g. patient weight), as well as previously difficult to obtain information such as routine ECG, ICD/CRT-D interrogation and pulmonary arterial pressure monitoring, which are now within reach due to technological progress. Motivated by the above, RETENTION aims to develop and deliver an innovative platform supporting enhanced clinical monitoring and interventions aimed at improving the clinical management of patients with chronic HF, reducing their mortality and hospitalisation rates, and improving their quality of life, safety, and well-being. The RETENTION platform will support clinical decision making and evidenced based personalised interventions for HF patients by: (a) continually monitoring and collecting medical, clinical, physiological, behavioural, psychosocial, and real-world data for such patients, (b) analysing these data using innovative model-driven big data analytics, statistical, artificial intelligence and machine learning techniques, (c) detecting patterns in the HF disease progression and the quality of life of patients, (d) cross checking and validating them against the clinical literature, and (e) offering transparent, explainable and verifiable decision making capabilities that leverage the evidence produced by the underlying data analysis and augment clinical studies targeting HF and other CVDs. The RETENTION approach and it

Project details

Unibo Team Leader: Nazzareno Galiè

Unibo involved Department/s:
Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale

Coordinator:
Institute Of Communication And Computer Systems(Greece)

Other Participants:
Siemens Srl (Romania)
The London School of Economics and Political Science (United Kingdom)
Universitätsklinikum Essen (Germany)
Sphynx Technology Solutions Ag (Switzerland)
Servicio Madrileǹo De Salud (Spain)
Eunomia Limited (Ireland)
Foundation for Research and Technology - HELLAS (Greece)
Aegis It Research Gmbh (Germany)
Onaseio Kardiocheirourgiko Kentro (Greece)
ALMA MATER STUDIORUM - Università di Bologna (Italy)
I2grow: Innovation To Grow Srl (Italy)
National And Kapodistrian University Of Athens (Greece)
Datamed Healthcare Integrator Oloklironmena Systimta Pliroforikis Stinygeia Kai Pronoia Anonymos Etaireia (Greece)

Total Eu Contribution: Euro (EUR) 5.983.244,94
Project Duration in months: 48
Start Date: 01/05/2021
End Date: 30/04/2025

Cordis webpage

Good health and well-being This project contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

UE flag This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 965343