Automated early warning scoring
Rapid response to clinical deterioration with early warning scoring

Do your caregivers have the information they need to identify subtle signs of patient deterioration early? The indications of a patient’s clinical instability typically occur six to eight hours before an event.


An automated early warning scoring (EWS or MEWS) solution can help you identify the subtle signs of deterioration that can indicate a potential serious adverse event (SAE) and automatically re-check those warning signs, using Philips reassurance measurements, to determine if a notification needs to be sent to the appropriate caregivers. By reducing the need for manual record keeping and associated manual scoring calculations, automated EWS can help you identify patients at risk, reduce response times and put time back on your side.


Early detection of patient deterioration (and appropriate notification of caregivers) gives you more time to respond and plan appropiate intervention. EWS can support this. Automated EWS can support making this easy. Ask us about automated early warning solutions for your hospital.

IGS video

See how automated early warning scoring works to acquire vital signs, calculate a score, and notify responsible caregivers to intervene quickly.

Intellivue Guardian

IntelliVue Guardian

Automated early warning scoring system combines vital signs monitoring and software for early identification of patients at risk for deterioration.

EWS education and training

EWS education and training

Get started on an EWS program or optimize your

processes in place to enable your caregivers to react

and respond before an adverse event.

Build your system, 
your way

The best early warning scoring solution is one that integrates easily into your existing infrastructure and IT environment to simplify staff communications, streamline workflow, support document compliance, meet Joint Commission goals for standards of care, and improve patient care. Philips can deliver the products, services, and expertise to build an EWS solution designed to help you meet your goals.


Contact us to arrange a consultation with a Philips representative who can help you build an EWS solution designed around your organization.

Early warning scoring takes many forms


Acceptance of early warning scoring (EWS) has spawned a wide variety of different algorithms including MEWS, NEWS, PEWS, and more. What do they all mean?


EWS is based on the physiologic assessment of multiple vital signs –  respiratory rate, heart rate, systolic blood pressure, level-of-consciousness, body temperature, etc. Resulting observations are compared to a ‘normal range’ to generate a single composite score. This is done either manually, or automatically (i.e. Philips bedside monitors). An increasing score produces an escalated response – from increased observation, to rapid response. It is how this process is ‘modified’ to address the requirements of a specific patient/application type that results in the unique nomenclature.


You may also encounter Single Parameter Scoring (SPS), which scores each individual patient vital sign alone, but does not score them ‘together’ as MEWS does. With SPS, caregivers may need to consider a response when a single vital sign is out of range.

MEWS – Modified Early Warning Scoring is just that – an EWS system whose parameters have been customized to suit the requirements of a particular institution and the patients they serve. A further segmentation of MEWS adapts EWS to specific purposes. Following is a partial list:

Automated EWS makes a significant difference

A study using Philips IntelliVue GuardianSoftware supports the use of an automated EWS system with notifications to provide significant improvements in key patient centered clinical outcomes.1

20 percent reduction

reduction in hospital mortality, including readmissions1

35 percent reduction

reduction of Severe Adverse Events1

66 percent reduction

reduction in ICU mortality of patients transferred to the ICU1

86 percent reduction

reduction of Cardiopulmonary Arrests1

See the positive economic impact that Early Warning Scoring systems can make at your hospital

Success in implementation

Why EWS? Consider the facts


of preventable deaths are attributable to failure to rescue by a registered nurse or physician.2

Problem: It’s hard to predict which patients to watch closely

Solution: IntelliVue Guardian EWS helps you identify subtle signs that can indicate a potential deterioration


of cardiac patients show evidence of respiratory decline within eight hours of cardiac arrest3

Problem: An MD is notified only 25% of the time4
Solution: IntelliVue Guardian incorporates respiratory measurements into EWS to initiate timely intervention


in-hospital cardiac arrests annually in the U.S.5

Problem: Most deteriorating patients are identified within 15 minutes – often too late to intervene
Solution: EWS tools can support improving the effectiveness of your Rapid Response Teams (RRT)

Philips general care solutions

Every respiratory measure matters


The general care floor encompasses a wide range of patients with varying conditions and needs. We work with you to identify solutions to help in identifying potential patient deteriorations and tailor them to your organization’s needs and goals.


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patient care

Accurate assessment and consistent reporting of respiratory rate is extremely important to detect patient deterioration early. However, manually measuring respiratory rates can be  time consuming  and overwhelming6.



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Results from case studies are not predictive of results in other cases. Results in other cases may vary.


1. Subbe, C.P., Duller, B. & Bellomo, R. Crit Care (2017) 21: 52. doi :10.1186/s13054-017-1635-z Funding of the monitoring equipment and the research nurses was through a

grant from Philips

2. HealthGrades, Inc: Third Annual Patient Safety in American Hospitals Study. April 2006

3. Schein, RM, el al. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest 1990; 98: 1388-92

4. Sharek PJ, Parast LM, Leong K, et al. Effect of a rapid response team on hospital-wide mortality and code rates outside the ICU in a children’s hospital, JAMA 2007;


5. Franklin C, Matthew J Developing strategies to prevent in-hospital cardiac arrest: analyzing the responses of physicians and nurses in the hours before the event, Crit Care Med. 1994:22(2):244-247.

6.  Mok, W et al. Attitudes towards vital signs monitoring in the detection of clinical deterioration: scale development and survey of ward nurses. Int J Qual Health Care (2015) 27 (3): 207-213.

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