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Information needs for the rapid response team electronic clinical tool

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2017
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Title
Information needs for the rapid response team electronic clinical tool
Published in
BMC Medical Informatics and Decision Making, October 2017
DOI 10.1186/s12911-017-0540-3
Pubmed ID
Authors

Amelia Barwise, Sean Caples, Jeffrey Jensen, Brian Pickering, Vitaly Herasevich

Abstract

Information overload in healthcare is dangerous. It can lead to critical errors and delays. During Rapid Response Team (RRT) activations providers must make decisions quickly to rescue patients from physiological deterioration. In order to understand the clinical data required and how best to present that information in electronic systems we aimed to better assess the data needs of providers on the RRT when they respond to an event. A web based survey to evaluate clinical data requirements was created and distributed to all RRT providers at our institution. Participants were asked to rate the importance of each data item in guiding clinical decisions during a RRT event response. There were 96 surveys completed (24.5% response rate) with fairly even distribution throughout all clinical roles on the RRT. Physiological data including heart rate, respiratory rate, and blood pressure were ranked by more than 80% of responders as being critical information. Resuscitation status was also considered critically useful by more than 85% of providers. There is a limited dataset that is considered important during an RRT. The data is widely available in EMR. The findings from this study could be used to improve user-centered EMR interfaces.

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The data shown below were collected from the profiles of 2 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Other 6 13%
Student > Doctoral Student 6 13%
Student > Bachelor 5 11%
Researcher 4 9%
Other 9 19%
Unknown 11 23%
Readers by discipline Count As %
Medicine and Dentistry 11 23%
Nursing and Health Professions 8 17%
Design 2 4%
Social Sciences 2 4%
Computer Science 1 2%
Other 4 9%
Unknown 19 40%
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 04 October 2017.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,612
of 2,030 outputs
Outputs of similar age
#251,317
of 324,935 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#19
of 23 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 8th percentile – i.e., 8% 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 324,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.