The first warning signs of a code blue appear as early as six hours in advance of the event.1 But identifying patient deterioration early can be difficult with single parameter monitoring since you are alerted only when a significant physiological change occurs.
Early warning scores (EWS) were developed to help address this exact problem. An EWS paints a fuller picture of your patient’s overall condition by measuring and calculating a score based on multiple parameters. It not only alerts you when there is a significant change in a single parameter, it also tracks subtle changes across multiple data points. And that can help you identify when a patient needs intervention sooner — and prevent preventable complications.1
An EWS can identify patient deterioration six hours sooner than a single parameter.1 The impact of using an EWS is proven. But managing the data collection and calculations to implement an EWS protocol can be complicated, error prone and time-consuming.2
The system uses this data to continuously and automatically calculate an EWS. And the system sends alerts and presents this information when and where you need it — on any web-enabled device — so you can:
1. Maupin JM, Roth DJ, Krapes JM. Use of the Modified Early Warning Score decreases code blue events. Jt Comm J Qual Patient Saf. 2009;35(12):598-603.
2. X Van Galen LS, Dijkstra CC, Ludikhuize J, Kramer MHH, Nanayakkara PWB. A Protocolised Once a Day Modified Early Warning Score (MEWS) Measurement Is an Appropriate Screening Tool for Major Adverse Events in a General Hospital Population. Lazzeri C, ed. PLoS ONE. 2016;11(8):e0160811. doi:10.1371/journal.pone.0160811.
3. Kang MA, Churpek MM, Zadravecz FJ, Adhikari R, Twu NM, Edelson DP.
Real-time risk prediction on the wards: a feasibility study. Crit Care Med. 2016;44(8):1468-1473.