Literature DB >> 16779042

MASCAL: RFID tracking of patients, staff and equipment to enhance hospital response to mass casualty events.

Emory A Fry1, Leslie A Lenert.   

Abstract

Most medical facilities practice managing the large numbers of seriously injured patients expected during catastrophic events. During mass casualty events, as the demands on the healthcare team increase, and the challenges faced by managers escalate, workflow bottlenecks begin to develop and system capacity decreases. This paper describes MASCAL, an integrated software-hardware system designed to enhance management of resources at a hospital during a mass casualty situation. MASCAL uses active 802.11b asset tags to track patients, equipment and staff during the response to a disaster. The system integrates tag position information with data from personnel databases, medical information systems, registration applications and the US Navy's TACMEDCS triage application in a custom visual disaster management environment. MASCAL includes interfaces for a hospital command center, local area managers (emergency room, operating suites, radiology, etc.) and registration personnel. MASCAL is an operational system undergoing functional evaluation at the Naval Medical Center, San Diego, CA.

Entities:  

Mesh:

Year:  2005        PMID: 16779042      PMCID: PMC1560691     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


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6.  Development of computer-assisted patient control for use in the hospital setting during mass casualty incidents.

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  6 in total
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Review 2.  The adoption and implementation of RFID technologies in healthcare: a literature review.

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3.  Comparison of RFID systems for tracking clinical interventions at the bedside.

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8.  An Intelligent 802.11 Triage Tag for medical response to disasters.

Authors:  Leslie A Lenert; Douglas A Palmer; Theodore C Chan; Ramesh Rao
Journal:  AMIA Annu Symp Proc       Date:  2005

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10.  Small-scale testing of RFID in a hospital setting: RFID as bed trigger.

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Journal:  AMIA Annu Symp Proc       Date:  2007-10-11
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