Trauma THOMPSON: Clinical Decision Support for the Frontline Medic.


Journal

Military medicine
ISSN: 1930-613X
Titre abrégé: Mil Med
Pays: England
ID NLM: 2984771R

Informations de publication

Date de publication:
08 11 2023
Historique:
received: 13 12 2022
revised: 10 02 2023
accepted: 10 03 2023
medline: 13 11 2023
pubmed: 10 11 2023
entrez: 10 11 2023
Statut: ppublish

Résumé

U.S. Military healthcare providers increasingly perform prolonged casualty care because of operations in settings with prolonged evacuation times. Varied training and experience mean that this care may fall to providers unfamiliar with providing critical care. Telemedicine tools with audiovisual capabilities, artificial intelligence (AI), and augmented reality (AR) can enhance inexperienced personnel's competence and confidence when providing prolonged casualty care. Furthermore, implementing offline functionality provides assistance options in communications-limited settings. The intent of the Trauma TeleHelper for Operational Medical Procedure Support and Offline Network (THOMPSON) is to develop (1) a voice-controlled mobile application with video references for procedural guidance, (2) audio narration of each video using procedure mentoring scripts, and (3) an AI-guided intervention system using AR overlay and voice command to create immersive video modeling. These capabilities will be available offline and in downloadable format. The Trauma THOMPSON platform is in development. Focus groups of subject matter experts will identify appropriate procedures and best practices. Procedural video recordings will be collected to develop reference materials for the Trauma THOMPSON mobile application and to train a machine learning algorithm on action recognition and anticipation. Finally, an efficacy evaluation of the application will be conducted in a simulated environment. Preliminary video collection has been initiated for tube thoracostomy, needle decompression, cricothyrotomy, intraosseous access, and tourniquet application. Initial results from the machine learning algorithm show action recognition and anticipation accuracies of 20.1% and 11.4%, respectively, in unscripted datasets "in the wild," notably on a limited dataset. This system performs over 100 times better than a random prediction. Developing a platform to provide real-time, offline support will deliver the benefits of synchronous expert advice within communications-limited and remote environments. Trauma THOMPSON has the potential to fill an important gap for clinical decision support tools in these settings.

Identifiants

pubmed: 37948255
pii: 7388257
doi: 10.1093/milmed/usad087
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

208-214

Informations de copyright

Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2023. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Auteurs

Eleanor Birch (E)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.

Kyle Couperus (K)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
The Geneva Foundation, Tacoma, WA 98402, USA.

Chad Gorbatkin (C)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.

Andrew W Kirkpatrick (AW)

TeleMentored Ultrasound Supported Medical Interventions Research Group, University of Calgary, Calgary, Alberta T2N 1N4, Canada.

Juan Wachs (J)

School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.

Ross Candelore (R)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
Department of Emergency Medicine, William Beaumont Army Medical Center, Fort Bliss, TX 79918, USA.

Nina Jiang (N)

School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.

Oanh Tran (O)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
The Geneva Foundation, Tacoma, WA 98402, USA.

Jonah Beck (J)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
The Geneva Foundation, Tacoma, WA 98402, USA.

Cody Couperus (C)

Department of Emergency Medicine, University of Maryland Medical Center, Baltimore, MD 21201, USA.

Jessica McKee (J)

TeleMentored Ultrasound Supported Medical Interventions Research Group, University of Calgary, Calgary, Alberta T2N 1N4, Canada.

Timothy Curlett (T)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.

DeAnna DeVane (D)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
The Geneva Foundation, Tacoma, WA 98402, USA.

Christopher Colombo (C)

Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
The Geneva Foundation, Tacoma, WA 98402, USA.

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