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EDGE was developed by the University of Oxford (the Institute of Biomedical Engineering and the Department of Primary Healthcare Sciences), with support from the Department of Health and the Wellcome Trust through the Health Innovation Challenge Fund.
Self-management, combined with remote monitoring, gives patients greater control of their condition and reduces the number of hospital visits.
Self-management and remote feedback to patients from respiratory nurses improves overall patient health status. It also helps to deliver care and assurance to people who live in remote areas.
Health professionals can view a patient’s individual data in real-time and provide personalised feedback and content to the patient’s tablet.
Clinically-validated modules and intelligent algorithms enable early detection of deterioration and allow the integration of the digital health platform within the care pathways for COPD patients.
Anonymised patient data is securely stored in a server behind NHS firewalls where the clinical team can review the patient’s readings and provide feedback.
Electronic capture of data reduces the number of phone calls or visits a respiratory nurse needs to make, thereby improving their time efficiency.
EDGE uses multi-purpose Android tablet technology, with Bluetooth-enabled sensors. This can improve a patient’s quality of life by supporting them to live independently.
EDGE makes it easy for patients to self-manage their condition by giving them feedback on their physical well-being (through the use of graphs of their vital signs and symptom diary). It also gives patients motivational and psychological support.
EDGE allows proactive patient-to-clinician communication using an adaptive, electronic symptom diary. EDGE uses intelligent algorithms to improve patient compliance and medical adherence.
Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial
Farmer et al, Journal of Medical Internet Research (2017)
Read more
Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System
Shah S.A. et al, (2017), Journal of Medical Internet Research, 19(3): e69
Read more
*Currently in development phase prior to commercial launch.
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In support of the ‘Understanding Patient Data’ initiative, Sensyne Health cite that its “work uses data provided by patients and collected by the NHS as part of their care and support”. #datasaveslives
