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Human factors engineering approaches to patient identification armband design.

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Title: Human factors engineering approaches to patient identification armband design.
Authors: Probst, C. Adam1 Adam.Probst@baylorhealth.edu, Wolf, Laurie2, Bollini, Mara3, Xiao, Yan1
Source: Applied Ergonomics. Jan2016, Vol. 52, p1-7. 7p.
Subjects: Ergonomics, Armbands, Task performance, Nurses, Patient safety, Integrated health care delivery
Abstract: The task of patient identification is performed many times each day by nurses and other members of the care team. Armbands are used for both direct verification and barcode scanning during patient identification. Armbands and information layout are critical to reducing patient identification errors and dangerous workarounds. We report the effort at two large, integrated healthcare systems that employed human factors engineering approaches to the information layout design of new patient identification armbands. The different methods used illustrate potential pathways to obtain standardized armbands across healthcare systems that incorporate human factors principles. By extension, how the designs have been adopted provides examples of how to incorporate human factors engineering into key clinical processes. [ABSTRACT FROM AUTHOR]
Copyright of Applied Ergonomics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 109318590
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="DE" term="%22Ergonomics%22">Ergonomics</searchLink><br /><searchLink fieldCode="DE" term="%22Armbands%22">Armbands</searchLink><br /><searchLink fieldCode="DE" term="%22Task+performance%22">Task performance</searchLink><br /><searchLink fieldCode="DE" term="%22Nurses%22">Nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+safety%22">Patient safety</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+health+care+delivery%22">Integrated health care delivery</searchLink>
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  Data: The task of patient identification is performed many times each day by nurses and other members of the care team. Armbands are used for both direct verification and barcode scanning during patient identification. Armbands and information layout are critical to reducing patient identification errors and dangerous workarounds. We report the effort at two large, integrated healthcare systems that employed human factors engineering approaches to the information layout design of new patient identification armbands. The different methods used illustrate potential pathways to obtain standardized armbands across healthcare systems that incorporate human factors principles. By extension, how the designs have been adopted provides examples of how to incorporate human factors engineering into key clinical processes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Ergonomics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Task performance
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              Text: Jan2016
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