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An IP-based healthcare provider shift design approach to minimize patient handoffs

Overview of attention for article published in Health Care Management Science, April 2013
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3 X users

Citations

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74 Mendeley
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6 CiteULike
Title
An IP-based healthcare provider shift design approach to minimize patient handoffs
Published in
Health Care Management Science, April 2013
DOI 10.1007/s10729-013-9237-z
Pubmed ID
Authors

Pooyan Kazemian, Yue Dong, Thomas R. Rohleder, Jonathan E. Helm, Mark P. Van Oyen

Abstract

The new Accreditation Council for Graduate Medical Education (ACGME) duty-hour standards for residents and fellows went into effect in 2011. These regulations were designed to reduce fatigue-related medical errors and improve patient safety. The new shift restrictions, however, have led to more frequent transitions in patient care (handoffs), resulting in greater opportunity for communication breakdowns between caregivers, which correlate with medical errors and adverse events. Recent research has focused on improving the quality of these transitions through standardization of the handoff protocols; however, no attention has been given to reducing the number of transitions in patient care. This research leverages integer programming methods to design a work shift schedule for trainees that minimizes patient handoffs while complying with all ACGME duty-hour standards, providing required coverage, and maintaining physician quality of life. In a case study of redesigning the trainees' schedule for a Mayo Clinic Medical Intensive Care Unit (MICU), we show that the number of patient handoffs can be reduced by 23 % and still meet all required and most desired scheduling constraints. Furthermore, a 48 % reduction in handoffs could be achieved if only the minimum required rules are satisfied.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Netherlands 1 1%
India 1 1%
Canada 1 1%
Unknown 69 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 14 19%
Researcher 8 11%
Student > Doctoral Student 7 9%
Other 4 5%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Engineering 14 19%
Medicine and Dentistry 12 16%
Business, Management and Accounting 6 8%
Nursing and Health Professions 5 7%
Computer Science 5 7%
Other 13 18%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2013.
All research outputs
#13,687,464
of 22,708,120 outputs
Outputs from Health Care Management Science
#154
of 285 outputs
Outputs of similar age
#104,858
of 193,061 outputs
Outputs of similar age from Health Care Management Science
#2
of 4 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 193,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.