Literature DB >> 21607909

Advanced monitoring and decision support for battlefield critical care environment.

Jose Salinas1, Ruth Nguyen, Mark I Darrah, George A Kramer, Maria L Serio-Melvin, Elizabeth A Mann, Steven E Wolf, Kevin K Chung, Evan M Renz, Leopoldo C Cancio.   

Abstract

Automation and decision support systems are vital for improving critical patient care in the battlefield environment. However, advances in data management, sensor fusion, and decision support algorithms must be developed and incorporated into existing patient monitoring systems for this technology to improve battlefield patient care. This paper examines issues related to research and development of advanced monitoring and decision support systems for use both on the battlefield and in the civilian trauma environment.

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Year:  2011        PMID: 21607909

Source DB:  PubMed          Journal:  US Army Med Dep J        ISSN: 1524-0436


  3 in total

Review 1.  Decision Support Capabilities of Telemedicine in Emergency Prehospital Care: Systematic Review.

Authors:  Yesul Kim; Christopher Groombridge; Lorena Romero; Steven Clare; Mark Christopher Fitzgerald
Journal:  J Med Internet Res       Date:  2020-12-08       Impact factor: 5.428

2.  Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers.

Authors:  Ankita Bhat; Daria Podstawczyk; Brandon K Walther; John R Aggas; David Machado-Aranda; Kevin R Ward; Anthony Guiseppi-Elie
Journal:  J Transl Med       Date:  2020-09-14       Impact factor: 5.531

3.  Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model.

Authors:  Yun Li; Lu Wang; Yuyan Liu; Yan Zhao; Yong Fan; Mengmeng Yang; Rui Yuan; Feihu Zhou; Zhengbo Zhang; Hongjun Kang
Journal:  Front Med (Lausanne)       Date:  2021-12-10
  3 in total

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