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Remote wireless vital signs monitoring on the ward for early detection of deteriorating patients: a case series

Peer-reviewed publication - 22 January 2020

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A study on more than 450 patients showed that the Sensium patch was comfortable and improved their sense of safety. Patients also felt that the use of a wearable monitoring system would relieve pressure on health care staff, and is seen as a positive evolution of healthcare technology, with patients said to be likely to wear the sensor while at home.

Remote wireless vital signs monitoring on the ward for early detection of deteriorating patients: a case series

L.M. Posthuma, C. Downey, M.J. Visscher, D.A. Ghazali, M. Joshi, H. Ashrafian, S. Khan, A. Darzi, J. Goldstone , B. Preckel. International Journal of Nursing Studies, January 2019 



Remote wireless monitoring is a new technology that allows the continuous recording of ward patients’ vital signs, supporting nurses by measuring vital signs frequently and accurately. A case series is presented to illustrate how these systems might contribute to improved patient surveillance. 

Methods and results

Clinicians from five European hospitals including AMC, Amsterdam, Bichat, Paris, UCLH and Imperial college, London and St James’s, Leeds reported cases using a remote wireless vital signs monitoring system on medical or surgical wards. Heart rate, respiratory rate and temperature were measured by the system every 2 min. 

Nine casestudies from across the five hospitals are presented. Four cases of (paroxysmal) atrial fibrillation are presented, two cases of sepsis and one case each of pyrexia, cardiogenic pulmonary edema and pulmonary embolisms. 

All cases show that the remote monitoring system revealed the first signs of ventilatory and circulatory deterioration before a change in the trends of the respective values became obvious by manual vital signs measurement. 


This case series illustrates that a wireless remote vital signs monitoring system on medical and surgical wards has the potential to reduce time to detect deteriorating patients 

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