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Developing and Testing a Computerized Decision Support System for Nurse-to-Patient Assignment

Overview of attention for article published in Computers, informatics, nursing, June 2014
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Title
Developing and Testing a Computerized Decision Support System for Nurse-to-Patient Assignment
Published in
Computers, informatics, nursing, June 2014
DOI 10.1097/cin.0000000000000056
Pubmed ID
Authors

CATHARINA J. VAN OOSTVEEN, ALEIDA BRAAKSMA, HESTER VERMEULEN

Abstract

Nurse-to-patient assignment is a frequently recurring, time-consuming, and complex process owing to the many considerations involved. Creating well-balanced, high-quality assignments is crucial to ensuring patient safety, quality of care, and job satisfaction for nurses. A computerized decision support system can assist (charge) nurses in the nurse-to-patient assignment process. In this two-phase multimethod study, a computerized decision support system was developed and evaluated. Three nursing wards in a 1000-bed Dutch university hospital participated. In the first phase of this study, considerations relevant to the assignment process-and their relative importance-were investigated in a literature review, focus group sessionswith nurses, and a survey among nurses. Using information from the first phase, the computerized decision support system was developed based on an integer linear program. In the second phase, a before-and-after study was conducted to test and evaluate the computerized decision support system both quantitatively (duration of the assignment process) and qualitatively (survey on workload). Thirty-six measurements were performed to test the computerized decision support system. After implementation, a 30% time reduction was achieved in the nurse-to-patient assignments, and nurses (N = 138) experienced a lower workload. Therefore, the implementation of computerized decision support system would increase both the quality and safety of care as well as the nurses' job satisfaction and should be investigated rigorously in the coming years.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Colombia 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 22%
Student > Bachelor 8 10%
Researcher 7 9%
Student > Ph. D. Student 6 7%
Librarian 5 6%
Other 17 21%
Unknown 20 25%
Readers by discipline Count As %
Nursing and Health Professions 27 33%
Medicine and Dentistry 9 11%
Engineering 4 5%
Social Sciences 3 4%
Business, Management and Accounting 2 2%
Other 13 16%
Unknown 23 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 June 2014.
All research outputs
#20,723,696
of 25,457,297 outputs
Outputs from Computers, informatics, nursing
#1,274
of 1,501 outputs
Outputs of similar age
#177,022
of 241,056 outputs
Outputs of similar age from Computers, informatics, nursing
#12
of 23 outputs
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.