Early Warning Scores Project

Early Warning Scores Project
Early Warning Scores project has launched by the UAE Ministry of health and Prevention, project to assist clinicians in taking evidence – based decisions early warning scores for different age and obstetric groups.
PEWS (Pediatric Early Warning Scores), MEWS (Modified Early Warning Scores) and MEOWS (Modified Early Obstetric Warning Score) are evidence-based early warning mechanism tools which will facilitate clinicians in detecting early signs of clinical/physiological deterioration. These tools are based on physiological indicators and routine observations. They detect changes in a patient’s physiology, which will be reflected in the score. The score will be a clear indication to the clinicians if the patient is improving or deteriorating. The higher the score, the more intervention and support required.

 Mubaraka Ibrahim, Director of MOHAP’s Health Information Systems Department, explained that the Ministry’s facilities previously used paper-based early warning scoring tools. Nurses had to document vital signs in electronic medical records (EMRs) and repeat the documentation in paper form. Users then calculated the score for each criterion based on the reference grid manually. The clinicians were notified verbally, and the data documented as a free text note in EMR. The paper documentation was then filed. The chances of human calculation errors were very high and the visibility of data for clinicians was very low. Trending the results was also not possible. She added that the adoption of electronic EWS assists clinicians in the detection of early signs of clinical/physiological deterioration in patients, and helps in reducing intensive care mortality, hospital mortality, unplanned admissions and readmissions to ICU, delayed discharges, and rates of adverse events.  

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