Enhancement and Implementation of an Abdominal Pain Algorithm for Gestational-Age Women: A Quality Improvement Project

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.

Grantor dc:publisher

University of Kansas

Year dc:date.issued

2023

Author dc:creator

• Stephenson, Jennifer

Advisor dc:contributor.advisor

• Gray, Jason

• Nursing

Statement dc:rights

• Copyright held by the author.

Language dc:language.iso

en

Dc Identifier Other

http://dissertations.umi.com/ku:19245

OAI identifier oai:identifier

oai:kuscholarworks.ku.edu:1808/38643