Meeting
Abstract Number: K7
SHM Converge 2022
Background: Early warning scores are clinical decision support tools that incorporate multiple physiologic variables to detect patient deterioration. Previous studies have highlighted the value of integrating measures of provider intuition into predictive models. (1-3) For example, incorporating the Patient Acuity Rating, a Likert-based measure of nurse worry, into the six-variable Modified Early Warning Score (MEWS) […]
Abstract Number: 181
Hospital Medicine 2020, Virtual Competition
Background: Despite the introduction of Early Warning Scores (EWSs), clinical deterioration (CD) remains an actual problem on the general ward. A next step to counter CD would be to intensify measurement from intermittent 8 hours to continuous measurements. This leads to big data sets of patient monitoring data with great potential. Use of advanced predictive […]