Early Warning Scoring leads to identification of clinical deterioration
The Philips Patient Deterioration Solution consists of an integrated suite of devices, wearable sensors, software, and professional services. The customizable solution is integrated with the hospital EMR (electronic medical record) to help enhance organizational efficiencies and current infrastructure investments. The solution aims to enable caregivers to effectively identify and proactively respond to patient deterioration in hospital wards, help reduce the risk of missed signs of deterioration, improve patient care, and increase efficiencies in patient management and workflow .
Leveraging intelligent algorithms and predictive trend analytics, the solution, including IntelliVue GuardianSoftware, helps clinicians identify patient deterioration, notify caregivers and enable appropriate, timely intervention to prioritize patient care. As part of Philips’ goal of improving the lives of 3 billion people a year by 2030, more than 275 million patients are monitored with Philips’ patient monitors each year. Abnormal vital signs or other indications of clinical instability typically appear eight to twelve hours prior to critical event . Through the use of Philips IntelliVue Guardian Software, an automated early warning scoring (EWS) and workflow system, clinicians receive information to help identify subtle warning signs of a patient's physiological decline for timely intervention.
 Donchin, Y. et al. A look into the nature and causes of human errors in the intensive care unit. BMJ Qual. Saf. 12, 143–147 (2003).
 Rothschild, J. M. et al. The Critical Care Safety Study: The incidence and nature of adverse events and serious medical errors in intensive care. Crit. Care Med. 33, 1694–1700 (2005).
 Early warning scoring can aid in identifying subtle warning signs of physiological decline 6 to 8 hours before an event (Incidence, staff awareness and mortality of patients at risk on general wards. Fuhrmann L, Lippert A, Perner A, Østergaard D. Resuscitation. 2008 Jun;77(3):325-30. Epub 2008 Mar 14. PMID: 18342422 [PubMed - indexed for MEDLINE])