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Anticipate Patient Deterioration?


  • Research suggests that the signs and symptoms of clinical deterioration can be detected as early as 6 to 8 hours before an event or arrest.1

  • Sepsis is often diagnosed too late, because the clinical symptoms and laboratory signs are not specific.

  • Manual calculation of NEWS is frequently incorrect, possibly leading to misclassification of patients at risk.2

  • Cardiopulmonary arrest cases showed that 44% were respiratory-related and more than 35% occurred on the general care floor.3

Do you have the right technology to help identify patient deterioration as early as possible?

Early identification of patient deterioration is key to intervening for serious conditions like sepsis and cardiopulmonary arrests


Deterioration in a patient’s clinical condition frequently occurs over several hours before a critical event, providing hospital staff with a potential window of opportunity for intervention if detection of signs and symptoms occurs early.


The use of Early Warning Scores (EWS)—especially automated scores, as opposed to manual calculations—has been shown to improve early identification of patient deterioration.


Nurses who used analytic decision-making activated Rapid Response Teams (RRTs) about twice as much as those using their intuition.4


Modified Early Warning Score (MEWS) calculations three times per day have been shown to result in two times as many RRT calls and decrease the number of ICU transfers by 40%.5


A pediatric unit’s implementation of a Pediatric Early Warning Score (PEWS) resulted in 85% of children with PEWS ≥3 improving their condition within 24 hours of a rapid medical intervention.6





Welch Allyn Vitals Monitors

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Staff from two European hospitals that use Welch Allyn vital signs monitoring share their experiences.

The impact: Better quality observations, improved safety and less burden on staff.

Nursing staff at Derby Teaching Hospitals NHS Foundation Trust in UK are using specialist monitors to enhance the quality of observations, to spend more time actively interacting with patients and to help deliver the best nursing possible. 

“We are saving nursing staff time by using the new technology, and in return they can put something back into the process–quality,”


“Taking blood pressure on the way up is a lot better.You don’t get complaints so much now, as it a lot more comfortable for patients.” 


“We now know that patients get the appropriate care when they need it, because everything is correct when it goes into the system.”


"For some caregivers, who we rely on to take observations, who might not have the same detailed training as nursing staff, this is a chance to reinforce the real value of observations.”

Extract from “Investing In Quality Observations”, Clinical Services Journal, February 2018. 


HEWS System: The algorithm that improves nursing.

Henares University Hospital in Spain has successfully introduced a computer system, the “Henares Early Warning Score” (HEWS), based on an algorithm that anticipates patient deterioration on general care and emergency units.

“HEWS is a tool that empowers nursing and allows us to anticipate patient deterioration across general care units.”


“As soon as the information is entered, the monitor shows us the corresponding level of patient care by degree of severity.”

“It’s a way to allow other healthcare professionals to have immediate visibility of new patient data. So they can check and evaluate current patient status while making their way to where the alert is coming from. We have improved control and communications levels.”


"We could make it happen because of the flexibility of the devices we have."

Extract from article " Sistema HEWS. El Algoritmo que mejora el trabajo enfermero“, Enfermería en desarrollo, no. 17, March 2018, pp. 34-37

We Help You to Anticipate Patient Deterioration.

Welch Allyn Vital Signs Monitoring


Best-in-class vitals, early warning scores calculator and optional advanced parameters—all on the same device and all connected.


Early Warning Scores Calculator

Connex® Monitors support up to 6 customized EWS protocols with alerts on-device

Optional 3 or 5-Lead ECG

Detects and alarms for lethal arrhythmias (asystole, ventricular tachycardia and ventricular fibrillation) at the bedside

Optional Masimo® Total Hemoglobine (SpHb)

Helps detect hemorrhaging early—allowing for timely intervention

Optional Masimo® Acoustic Respiration (RRa)

Provides noninvasive and continuous monitoring of respiration, often the first sign of deterioration

Optional Covidien® Microstream® Capnoghraphy (etCO2)

Help you quickly recognize respiratory distress and enables response to signs of patient deterioration

Once you try Welch Allyn Connex® Vital Signs Monitors you will understand why most of our customers say they just love them!



Discover Welch Allyn Vitals Monitors


A 360º Solution for Vital Signs


Secure Patient Data


Save Nursing Time


Reduce Cost of Ownership


*Trial devices subject to availability


  1. Utilization of Electronic Modified Early Warning Score to Engage Rapid Response Team Early in Clinical Deterioration; Melody A. Rose, DNP, RN; Lee Ann Hanna, PhD, RN; Sareda A. Nur, MD; Constance M. Johnson, PhD, RN. Journal for Nurses in Professional Development & Volume 31, Issue 3.
  2. Friman, O, Bell, M, Djärv, T, Hvarfner, A, Jäderling, G. National Early Warning Score vs Rapid Response Team criteria—Prevalence, misclassification, and outcome. Acta Anaesthesiol Scand. 2019; 63: 215– 221. 
  3. Peberdy, et al. “Cardiopulmonary resuscitation of adults in the hospital: A report of 14720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation.”  Resuscitation 58 (2003), 297-308.
  4. Parker, C. J. (2014). Decision-making models used by medical-surgical nurses to activate rapid response teams. MedSurg Nursing, 23(3), 159-164
  5. Ludikhuize, J., Borgert, M., Binnekade, J., Subbe, C., Dongelmans, D., & Goossens, A. (2014). Standardized measurement of the Modified Early Warning Score results in enhanced implementation of a Rapid Response System: A quasi-experimental study. Resuscitation, 85(2014): 676-82.
  6. Ennis, L. (2014). Paediatric early warning scores on a children’s ward: a quality improvement initiative. Nursing Children and Young People, 26(7): 25-31.