Enhancement and Implementation of an Abdominal Pain Algorithm for Gestational-Age Women: A Quality Improvement Project
type: CreativeWork
description: Abdominal pain constitutes 8% of annual ER cases, posing diagnostic challenges, especially in women of childbearing age. Traditional methods often miss pregnancy-related issues. We developed an algorithmic approach for abdominal pain assessment and pregnancy testing to address this. We conducted a Quality Improvement project involving problem identification, algorithm development, implementation, and evaluation. Pre- and post-intervention data revealed significant increases in pregnancy testing, notably in ages 15-25 (99.8% rise). Our algorithm elevates early pregnancy detection, minimizing missed diagnoses. It offers a valuable tool for healthcare providers to improve patient safety and outcomes.
abstract: Abdominal pain constitutes 8% of annual ER cases, posing diagnostic challenges, especially in women of childbearing age. Traditional methods often miss pregnancy-related issues. We developed an algorithmic approach for abdominal pain assessment and pregnancy testing to address this. We conducted a Quality Improvement project involving problem identification, algorithm development, implementation, and evaluation. Pre- and post-intervention data revealed significant increases in pregnancy testing, notably in ages 15-25 (99.8% rise). Our algorithm elevates early pregnancy detection, minimizing missed diagnoses. It offers a valuable tool for healthcare providers to improve patient safety and outcomes.
author: Stephenson, Jennifer
language: en
keywords: Nursing
date published: 2023-01-01
date modified: 2026-07-24T02:46:05Z
provider: University of Kansas
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Kansas

PropertyValue
property ID: Handle
value: https://hdl.handle.net/1808/38643