title: |
Data Quality for Emergency Department BI Dashboard |
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publication: |
||
part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-40-6 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/icebi.2010.47 (how to use a DOI) | |
author(s): |
Andy Koronios, Jing Gao |
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publication date: |
December 2010 |
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keywords: |
Dashboard, Information
Quality, Health Service and Emergency
Department |
|
abstract: |
As a powerful BI tool, dashboard is
currently on the decision-makers' top
concern lists. Many studies have been
conducted on how to develop dashboard
in the hospital environment, especially in
the emergency departments (ED) where
the doctors need precise, real time
information of their patients in order to
provide better services and shorten the
waiting time. This study tries to discuss
the actual data quality issues with the
operation-level and middle-level
managers emerged during the ED BI
dashboard development projects. By
conduct data quality issues and business
processes mapping, issues are
summarized under the well-known TOP
model, thus providing guidance on types
of data that need to be collected and
required quality dimensions for reliable
decision-making. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |