000822102 001__ 822102
000822102 005__ 20230217133041.0
000822102 0247_ $$2CORDIS$$aG:(EU-Grant)727534$$d727534
000822102 0247_ $$2CORDIS$$aG:(EU-Call)H2020-SC1-2016-CNECT$$dH2020-SC1-2016-CNECT
000822102 0247_ $$2originalID$$acorda__h2020::727534
000822102 035__ $$aG:(EU-Grant)727534
000822102 150__ $$aConnecting Patients and Carers using wearable sensor technology$$y2016-11-01 - 2021-09-30
000822102 371__ $$aUniversity Medical Center Utrecht$$bUMC$$dNetherlands$$ehttp://www.umcutrecht.nl/nl/$$vCORDIS
000822102 371__ $$aKU Leuven$$bKUL$$dBelgium$$ehttp://www.kuleuven.be/english$$vCORDIS
000822102 371__ $$aUniversity College London Hospitals NHS Foundation Trust$$bUCLH$$dUnited Kingdom$$ehttps://www.uclh.nhs.uk/Pages/home.aspx$$vCORDIS
000822102 371__ $$aStockholm County Council$$bStockholm County Council$$dSweden$$ehttp://www.sll.se/om-landstinget/Information-in-English1/$$vCORDIS
000822102 371__ $$aUniversitätsklinikum Aachen$$bUKA$$dGermany$$ehttp://www.ukaachen.de/$$vCORDIS
000822102 372__ $$aH2020-SC1-2016-CNECT$$s2016-11-01$$t2021-09-30
000822102 450__ $$aNIGHTINGALE$$wd$$y2016-11-01 - 2021-09-30
000822102 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000822102 680__ $$aSafest, reliable, individualised care of patients at-risk of deterioration needs patients themselves to play an active role in their care whenever possible: late detection or escalation of deterioration causes avoidable harms, and deaths. In this project we will challenge industry to develop robust monitoring and communications systems that connect patients, carers and health professionals, provide early warning of acute deterioration in and out of hospital, and learn and adapt to different individuals in different situations. Wearable sensor technology allows dynamic monitoring of vital signs that indicate health status, while bidirectional video communication allows interaction with the patient and in depth assessment. Self-learning adaptive algorithms interfaced with Electronic Medical Records can provide reliable early warning with few false alarms; and data about individual responses to different therapies.We will first target known at-risk patients such as those on general hospital floors after discharge from Intensive Care or following major surgery, and the frail elderly. This will also enable the safe care of many patients at home, e.g., patients seen in the Emergency Room but judged not to need hospital admission, or those with serious chronic conditions. Reliable, robust monitoring and communication systems will improve patient safety in hospital and after discharge, will decrease avoidable harms and deaths, reduce length of stay and readmissions, and help maintain patient’s independence; providing reassurance of wellness and early warning of deterioration. Analysis of collected ‘big data’ will increase understanding of treatment of specific patient groups, and provide spinoffs such as eHealth applications for chronic conditions. Once mature and integrated in European health care systems, the procured technology can truly transform healthcare by engaging with and empowering all at-risk patients, and enabling their connection with health professionals
000822102 909CO $$ooai:juser.fz-juelich.de:822102$$pauthority$$pauthority:GRANT
000822102 970__ $$aoai:dnet:corda__h2020::c1ca3a25b20f1c72854c3ff50978f668
000822102 980__ $$aG
000822102 980__ $$aCORDIS
000822102 980__ $$aAUTHORITY