Case Study:
Monitoring Post-Operative Patients

The PSE reduces morbidity and mortality after surgery and can create significant economic benefits

Millions of patients undergo major surgical procedures annually. Post-operative complication rates are between 15 - 45% depending on the procedure, with prolonged in-hospital stay and a high risk of intensive care unit admissions.

Among the most frequent complications are pulmonary and circulatory complications and it is estimated that 10 million patients experience myocardial injury after noncardiac surgery every year. Prevention or early intervention of these complications with continuous monitoring using the Patient Status Engine would make a major difference in morbidity and mortality after surgery and create significant economic savings.

In 2018, 50 patients were enrolled at Bispebjerg Hospital and Rigshospitalet in Copenhagen, Denmark, to be monitored continuously for four days after major surgery with the Patient Status Engine in an attempt to identify patients at risk of complications. The aim of this study was to compare the frequency of severe changes in post-operative cardiopulmonary physiological variables in patients monitored continuously with the PSE, as well as with standardised EWS following major abdominal cancer surgery.

Standardised EWS are calculated manually by monitoring a patient’s vital signs (heart rate, blood pressure, respiratory rate, temperature, oxygen saturation) at pre-specified intervals, starting at 12 hours and decreasing in cases where abnormal vital signs are detected. During these long hours without observation, patients often deteriorate without detection.

The Patient Status Engine uses wireless body-worn sensors to automatically collect and analyse vital signs used for EWS signs. The platform uses this data to provide an accurate EWS which is visible at the nurse station or on any authorised connected device such as a smart phone or tablet carried by nursing or clinical staff.

The PSE produces accurate personalised data sets for each patient which means clinical teams can see those more subtle and slower changes in a patient’s condition and detect deterioration more quickly and confidently. If normal thresholds are exceeded, the PSE can send out an alert which enables a rapid response to emergencies.


“Continuous monitoring with the Patient Status Engine identifies deteriorating patients earlier”

Christian Meyhoff
Bispebjerb Hospital, Copenhagen Hospital


Initial and expected outcomes at the Copenhagen Hospital include:

Severe micro events detected earlier 
and more frequently than standardised EWS based on intermittent observations of patients vital signs

Reduction in disturbances of patients 
late at night or early in the morning by avoiding the need for manual observations

New customised post-operative EWS 
being developed to run in the PSE platform to provide more specific alerting for these patients

Improved Patient Safety
earlier detection of deterioration allows earlier interventions before serious adverse events occur

Frees up nursing time to care
enabled by automatic, continuous observations and paper-free wards

Increased efficiencies
through better nurse utilisation and moving from reactive to proactive care

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