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http://hdl.handle.net/11375/16091
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DC Field | Value | Language |
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dc.contributor.advisor | Sekerinski, Emil | - |
dc.contributor.author | Kamil, Ammar | - |
dc.date.accessioned | 2014-10-14T20:02:32Z | - |
dc.date.available | 2014-10-14T20:02:32Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | http://hdl.handle.net/11375/16091 | - |
dc.description.abstract | The growth of software use in healthcare increases the need for designing and developing accurate systems, which raises our need to find precise tools for designing the digital flow of lab order process. This study consists of two main parts: first, determining the best BPM (Business Process Management) tool for designing digital lab order process flows. The chosen tool was used to design an improved digital lab order process flow for Humber River Hospital’s lab order process in a highly advanced way; the new workflow tool enables the workflow process developer to better represent and analyze the process tasks based on the needs of the process flow. In the first part of the study, we selected 15 open source workflow tools, and filtered them based on certain criteria, which include the availability of: analysis done by the tool, tool features, support, a graphical editor, an execution engine, and simulation. We chose four tools (YAWL, Together, Bonitasoft, and NOVA) that satisfied these criteria. We evaluated each tool based on the outcome of the new workflow design by using the four selected workflow tools separately to design the new workflow process. We evaluated the tools by following a mixed qualitative and quantitative methodology by collecting qualitative data supported by the quantitative data generated by the tools. Based on results from following the mixed methodology, as well as the results that were derived from studying the designated workflow process future lab ordering designing outcomes – we recommend YAWL (Yet Another Workflow Language) as the best workflow tool to use in the design of the new digital lab order process flow design. In the second part of the study we examined the current paper-based lab order process at Humber River Hospital; this included analyzing the process information to define the crucial points of errors in the process, bottlenecks of the process, most time consuming process tasks, and the main process points where improvements could be applied. The last part of part two was the design of a new fast and reliable digital lab order process system that used the Business Process Modeling (BPM) software tool selected in the second part of the thesis. During the research we collected lab order process data and used a qualitative methodology to analyze the data and find the critical phases in the current process in order to improve the new digital lab order process flow design. The results of this research will help in the development of future eHealth system processes by providing valuable data and recommending the right tool for designing a new process system. The new digital lab order process flow design will save healthcare time and money in addition to contributing to patient satisfaction. It will also provide more security to patient information than the old paper-based system. Notably, the chosen workflow tool has unique design features and components, which allow tool users to manage, control, and finish a successful workflow design efficiently, resulting in reliable digital lab order process flow design. | en_US |
dc.language.iso | en_US | en_US |
dc.title | A COMPARISON OF DIFFERENT WORKFLOW MODELING TOOLS: CHOOSING THE MOST ACCURATE TOOL FOR DESIGNING A RELIABLE HEALTHCARE SYSTEM | en_US |
dc.title.alternative | A COMPARISON OF DIFFERENT WORKFLOW MODELING TOOLS | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | eHealth | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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AmmarKamil_Thesis_Final.pdf | Thesis for Master of Science (M.Sc) in eHealth | 5.09 MB | Adobe PDF | View/Open |
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