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Evaluation of the clinical process in a critical care information system using the Lean method: a case study

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2012
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Title
Evaluation of the clinical process in a critical care information system using the Lean method: a case study
Published in
BMC Medical Informatics and Decision Making, December 2012
DOI 10.1186/1472-6947-12-150
Pubmed ID
Authors

Maryati Mohd Yusof, Soudabeh Khodambashi, Ariffin Marzuki Mokhtar

Abstract

There are numerous applications for Health Information Systems (HIS) that support specific tasks in the clinical workflow. The Lean method has been used increasingly to optimize clinical workflows, by removing waste and shortening the delivery cycle time. There are a limited number of studies on Lean applications related to HIS. Therefore, we applied the Lean method to evaluate the clinical processes related to HIS, in order to evaluate its efficiency in removing waste and optimizing the process flow. This paper presents the evaluation findings of these clinical processes, with regards to a critical care information system (CCIS), known as IntelliVue Clinical Information Portfolio (ICIP), and recommends solutions to the problems that were identified during the study.

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X Demographics

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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
South Africa 1 <1%
Unknown 155 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 27%
Student > Ph. D. Student 21 13%
Student > Bachelor 19 12%
Researcher 13 8%
Student > Doctoral Student 12 8%
Other 24 15%
Unknown 26 17%
Readers by discipline Count As %
Engineering 32 20%
Computer Science 28 18%
Business, Management and Accounting 18 11%
Nursing and Health Professions 15 10%
Medicine and Dentistry 14 9%
Other 18 11%
Unknown 32 20%
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 24 December 2012.
All research outputs
#15,258,711
of 22,689,790 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,306
of 1,980 outputs
Outputs of similar age
#181,137
of 280,032 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#39
of 46 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.