Date of Award
Spring 3-22-2024
Document Type
Open Access Thesis
Degree Name
Master of Medical Science (MMSc)
First Advisor
Andrea Asnes, MD, MSW
Abstract
Suspected child abuse in emergency departments is best managed by a specialist team trained to distinguish abuse from non-abuse. Previous researchers have developed clinical decision support tools to aid frontline clinicians recognize often subtle signs of child abuse. However, little is published about the success of integration of these tools into clinical practice. Our objective is to explore the efficacy of a natural language processing tool developed and validated by researchers at Yale by measuring changes in referral rates to Yale’s child protection team before and after implementation of the tool in the form of electronic medical record alerts. This quality improvement study will use a non-randomized, pre-post design, with an intervention group consisting of one local emergency department, and eight intra-system community emergency departments as a nonequivalent control group. We hypothesize that the implementation of the natural language processing tool will increase referrals to the child protection team.
Recommended Citation
Robbins, James, "Natural Language Processing Implementation: Electronic Medical Record Alerts for Child Abuse" (2024). Yale School of Medicine Physician Associate Program Theses. 200.
https://elischolar.library.yale.edu/ysmpa_theses/200
Comments
This is an open access thesis.