Patient Acuity Scores

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Ethan Quick Jamie Conine Desiree Maynard Deborah Schwytzer

Abstract

By Ethan Quick, Nursing; Jamie Conine, Nursing; Desiree Maynard, Nursing


Advisor: Deborah Schwytzer


Presentation ID: PM_B13


Abstract: Hospitals commonly use an early-warning algorithms known as Modified Early Warning Signs, in order to allow early intervention by healthcare professionals to prevent negative patient outcomes. The scores usually consist of points awarded for heart rate, respiratory rate, urine output, and other patient data depending on the institution. Nursing students lack education about early warning sign predictive analytics. Nursing students also lack the understanding about what data compromises the scores, as well as appropriate nursing interventions that should accompany them. A power-point presentation was created to educate student nurses about early warning sign algorithms and which appropriate nursing action is indicated depending on the score. In addition, a poster was created and students were provided badge cards that summarize the main points about MEWS and abnormal patient findings. The presentation will be evaluated using a pre and post-test given to students. Results pending.

Article Details

Section
PM Poster Session -- Great Hall -- B: Health & Body