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International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Extended Papers from Science and Information Conference 2014, 2014.
Abstract: Clinical workflows are safety critical workflows as they have the potential to cause harm or death to patients. Their safety needs to be considered as early as possible in the development process. Effective safety analysis methods are required to ensure the safety of these high-risk workflows, because errors that may happen through routine workflow could propagate within the workflow to result in harmful failures of the system’s output. This paper shows how to apply an approach for safety analysis of clinical workflows to analyse the safety of the workflow within a radiology department and evaluates the approach in terms of usability and benefits. The outcomes of using this approach include identification of the root causes of hazardous workflow failures that may put patients’ lives at risk. We show that the approach is applicable to this area of healthcare and is able to present added value through the detailed information on possible failures, of both their causes and effects; therefore, it has the potential to improve the safety of radiology and other clinical workflows.
Lamis Al-Qora’n, Neil Gordon, Martin Walker, Septavera Sharvia and Sohag Kabir, “A Safety Analysis Approach to Clinical Workflows: Application and Evaluation” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Extended Papers from Science and Information Conference 2014, 2014. http://dx.doi.org/10.14569/SpecialIssue.2014.040310
@article{Al-Qora’n2014,
title = {A Safety Analysis Approach to Clinical Workflows: Application and Evaluation},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Extended Papers from Science and Information Conference 2014}
doi = {10.14569/SpecialIssue.2014.040310},
url = {http://dx.doi.org/10.14569/SpecialIssue.2014.040310},
year = {2014},
publisher = {The Science and Information Organization},
volume = {4},
number = {3},
author = {Lamis Al-Qora’n and Neil Gordon and Martin Walker and Septavera Sharvia and Sohag Kabir},
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.