A novel automatic staffing allocation tool based on workload and cognitive load intensity

Daniel Cabrera; Jeffrey L. Wiswell; Vernon D. Smith; Andy Boggust; Annie T. Sadosty

doi:10.1016/j.ajem.2013.12.051

A novel automatic staffing allocation tool based on workload and cognitive load intensity

Daniel Cabrera, Jeffrey L. Wiswell, Vernon D. Smith, Andy Boggust, Annie T. Sadosty

Emergency Medicine

Research output: Contribution to journal › Letter › peer-review

2 Scopus citations

Original language	English (US)
Pages (from-to)	467-468
Number of pages	2
Journal	American Journal of Emergency Medicine
Volume	32
Issue number	5
DOIs	https://doi.org/10.1016/j.ajem.2013.12.051
State	Published - May 2014

ASJC Scopus subject areas

Emergency Medicine

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10.1016/j.ajem.2013.12.051

Cite this

@article{78cd30b3ebc54277855d677dc8f677f3,

title = "A novel automatic staffing allocation tool based on workload and cognitive load intensity",

author = "Daniel Cabrera and Wiswell, {Jeffrey L.} and Smith, {Vernon D.} and Andy Boggust and Sadosty, {Annie T.}",

year = "2014",

month = may,

doi = "10.1016/j.ajem.2013.12.051",

language = "English (US)",

volume = "32",

pages = "467--468",

journal = "American Journal of Emergency Medicine",

issn = "0735-6757",

publisher = "W.B. Saunders Ltd",

number = "5",

}

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AU - Cabrera, Daniel

AU - Wiswell, Jeffrey L.

AU - Smith, Vernon D.

AU - Boggust, Andy

AU - Sadosty, Annie T.

PY - 2014/5

Y1 - 2014/5

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U2 - 10.1016/j.ajem.2013.12.051

DO - 10.1016/j.ajem.2013.12.051

M3 - Letter

C2 - 24581887

AN - SCOPUS:84899436949

SN - 0735-6757

VL - 32

SP - 467

EP - 468

JO - American Journal of Emergency Medicine

JF - American Journal of Emergency Medicine

IS - 5

ER -

A novel automatic staffing allocation tool based on workload and cognitive load intensity

ASJC Scopus subject areas

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