Title:

Nurse2Med: Diagnosis Translation for Nurses and Practitioners

Poster

Preview Converted Images may contain errors

Abstract

Nurses do not have the proper qualifications to make official diagnoses for patients. Instead, they need to describe the patient’s symptoms using a standardized set of codes, called the Clinical Care Classification System (CCC). Nurse practitioners do have the qualifications to make official diagnoses, and use a different set of codes, the International Classification of Diseases (ICD-10). When nursing students are in school to become nurse practitioners, it can be a hurdle to learn an entirely new set of classifications. Nurse2Med is a central location for learning the differences and relationships between the two classification systems. Users enter a CCC or ICD-10 code and receive the most closely correlating code from the opposite classification system. We utilize the GPT-4 API to determine and retrieve the most relevant codes from the classification code database. Nurse2Med will be considered a success if at least half of trial users consider the app helpful in transitioning between classification systems. This will be determined by a survey given to users, asking them to rate their confidence with both systems before and after using Nurse2med.

Authors

First Name Last Name
Sean Connors
Olivia Morel
Justin Fournier
Jon Doherty
Andrew Butler
Rhy Fernands

File Count: 1


Leave a comment

Comments are viewable only by submitter



Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Computer Science (ISE)
Group Applications
Added April 21, 2025, 10:23 a.m.
Updated April 21, 2025, 10:23 a.m.
See More Department Presentations Here