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An ontology-based nurse call management system (oNCS) with probabilistic priority assessment

Overview of attention for article published in BMC Health Services Research, February 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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11 Dimensions

Readers on

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65 Mendeley
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Title
An ontology-based nurse call management system (oNCS) with probabilistic priority assessment
Published in
BMC Health Services Research, February 2011
DOI 10.1186/1472-6963-11-26
Pubmed ID
Authors

Femke Ongenae, Dries Myny, Tom Dhaene, Tom Defloor, Dirk Van Goubergen, Piet Verhoeve, Johan Decruyenaere, Filip De Turck

Abstract

The current, place-oriented nurse call systems are very static. A patient can only make calls with a button which is fixed to a wall of a room. Moreover, the system does not take into account various factors specific to a situation. In the future, there will be an evolution to a mobile button for each patient so that they can walk around freely and still make calls. The system would become person-oriented and the available context information should be taken into account to assign the correct nurse to a call.The aim of this research is (1) the design of a software platform that supports the transition to mobile and wireless nurse call buttons in hospitals and residential care and (2) the design of a sophisticated nurse call algorithm. This algorithm dynamically adapts to the situation at hand by taking the profile information of staff members and patients into account. Additionally, the priority of a call probabilistically depends on the risk factors, assigned to a patient.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Switzerland 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 32%
Student > Ph. D. Student 10 15%
Researcher 7 11%
Student > Bachelor 6 9%
Student > Doctoral Student 5 8%
Other 10 15%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 14 22%
Medicine and Dentistry 13 20%
Nursing and Health Professions 8 12%
Engineering 7 11%
Business, Management and Accounting 4 6%
Other 9 14%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 October 2013.
All research outputs
#6,397,771
of 22,729,647 outputs
Outputs from BMC Health Services Research
#3,094
of 7,606 outputs
Outputs of similar age
#47,104
of 182,847 outputs
Outputs of similar age from BMC Health Services Research
#7
of 27 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,606 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 182,847 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.