Identification of Naloxone in Emergency Medical Services Data Substantially Improves by Processing Unstructured Patient Care Narratives

An additional 115 (26.3%) patients receiving naloxone were identified by using unstructured case narratives compared to structured data. New surveillance methods that incorporate unstructured EMS narratives are critically needed to avoid substantial underestimation of naloxone utilization and enumeration of opioid overdoses.

Authors

Peter Rock (ORCID: https://orcid.org/0000-0002-9893-4084)
Daniel R. Harris (ORCID: https://orcid.org/0000-0001-9139-3433)
Chris Delcher (ORCID: https://orcid.org/0000-0001-7214-0326)
Dana Quesinberry
Nicholas Anthony

Institutions

University of Kentucky (US)
American Association of Colleges of Pharmacy (US)

Publication Details

Journal: Prehospital Emergency Care
Published: 2025-01-09
DOI: https://doi.org/10.1080/10903127.2024.2446638
Citations: 1
Primary Topic: Opioid Use Disorder Treatment
Type: article
Field-Weighted Citation Impact: 1.88

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Identification of Naloxone in Emergency Medical Services Data Substantially Improves by Processing Unstructured Patient Care Narratives

Peter Rock, Daniel R. Harris, Chris Delcher, Dana Quesinberry et al.

Jan 9, 2025

1 citations

Prehospital Emergency Care

Opioid Use Disorder Treatment

1.88

article

Identification of Naloxone in Emergency Medical Services Data Substantially Improves by Processing Unstructured Patient Care Narratives

Peter Rock, Daniel R. Harris, Chris Delcher, Dana Quesinberry, Nicholas Anthony

January 9, 2025article en

1 citations

Abstract

An additional 115 (26.3%) patients receiving naloxone were identified by using unstructured case narratives compared to structured data. New surveillance methods that incorporate unstructured EMS narratives are critically needed to avoid substantial underestimation of naloxone utilization and enumeration of opioid overdoses.

Prehospital Emergency CareVol. 29(4)

University of Kentucky (US), American Association of Colleges of Pharmacy (US)

Good health and well-being

Openalex Percentile: Top 20%

Opioid Use Disorder Treatment

1.88

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identification of Naloxone in Emergency Medical Services Data Substantially Improves by Processing Unstructured Patient Care Narratives — Peter Rock, Daniel R. Harris, et al. · Prehospital Emergency Care (2025) | TGRS Research Map | TGRS