Cardiac arrest is a critical event
with a high mortality rate

In-hospital cardiac arrest (IHCA) is a life-threatening
event associated with high mortality and morbidity.1
Each year, more than 292,000 adults experience IHCA
in the United States. 2 The survival-to-discharge rate
for these patients is approximately 25%. 3 To improve
patient outcomes, a CPR team was introduced to enhance
CPR quality; however, this initiative did not lead to a
reduction in mortality.4

The majority of In-hospital cardiac
arrests are potentially preventable.

A deterioration of vital signs prior to an IHCA occurs in
as many as 80% of patients.5 Early identification of
changes in vital signs can assist in the detection of people
at risk for cardiac arrest.6 However, these changes are
often missed, misinterpreted or mismanaged. 68% of
IHCAs could be prevented with timely and appropriate
intervention.7 To address this issue, many hospitals
have implemented Rapid Response Systems (RRSs) that
utilize Early Warning Scores (EWSs) to reduce preventable
cardiac arrests.8

There is room for improvement
beyond the status quo.

The effectiveness of EWS relies on ward staff responding
to abnormal vital signs.5 However, traditional track-and-
trigger systems often suffer from low sensitivity or high
false-alarm rates, which hinder outcome improvement.8
Randomized trials indicate that EWS and RRS intervention
may have only a minimal effect on hospital mortality.6
While RRS and EWS are not perfect solutions, there are
few viable alternatives. As a result, several key guidelines
continue to recommend their use.9

A new screening device with high
sensitivity and low false-alarm
rates is essential.

Conventional methods suffer from excessive false
alarms. They lead to alarm fatigue, staff desensitization
and missed responses, ultimately compromising patient
safety and care quality.10 This highlights the need for an
advanced screening device with high sensitivity and a
low false alarm rate.10 This is why VUNO developed
VUNO Med-DeepCARS, a deep-learning based
in-hospital cardiac arrest monitoring solution.