Demonstrating Feasibility of Point of Care Ultrasound (POCUS)-Guided Inpatient Transthoracic Echo Triage Decision Pathway

A POCUS-guided TTE triage protocol can reduce low-value inpatient TTE use, potentially expediting necessary TTEs and reducing TTE backlog.

Authors

Institutions

Publication Details

Journal
POCUS Journal
Published
2025-04-15
DOI
https://doi.org/10.24908/pocusj.v10i01.17776
Citations
1
Primary Topic
Ultrasound in Clinical Applications
Type
article
Field-Weighted Citation Impact
1.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demonstrating Feasibility of Point of Care Ultrasound (POCUS)-Guided Inpatient Transthoracic Echo Triage Decision Pathway

C Victoria Atwood, Mustafa Husaini, Farhan Katchi, Nicholas Arnold et al.
1 citations
POCUS Journal
Ultrasound in Clinical Applications
1.55
article

Demonstrating Feasibility of Point of Care Ultrasound (POCUS)-Guided Inpatient Transthoracic Echo Triage Decision Pathway

C Victoria Atwood, Mustafa Husaini, Farhan Katchi, Nicholas Arnold, Stephanie Conner, Mohamed Ramadan, Benjamin Hoemann, M.R. Fiore, Jing Li, Karl Wallenkampf, Carol Faulk
article en
1 citations

Abstract

A POCUS-guided TTE triage protocol can reduce low-value inpatient TTE use, potentially expediting necessary TTEs and reducing TTE backlog.

POCUS JournalVol. 10(01)
University of South Carolina (US), Washington University in St. Louis (US), Columbia University Irving Medical Center (US), Saint Louis University Hospital (US), Marshall University (US)
Openalex Percentile: Top 20%
Ultrasound in Clinical Applications
1.55
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.