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Medical data visualization for use in clinical research and practice


Medical data visualization for use in clinical research and practice

Leung, Brian (2008) Medical data visualization for use in clinical research and practice. Masters thesis, Concordia University.

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The need for medical data visualization within the health care domain to support both clinical research and clinical practice is an important area of research. The need to support clinical research is great as new breakthroughs lead to more efficient and effective treatment for patients that can reduce hospitalization and improve health. With this in mind, this thesis aims to create a real-life software system for the purpose of supporting clinical research and clinical practice in a tertiary care hospital. In this undertaking we employ a combination of the known software engineering methods, namely eXtreme Programming (XP) and the Personal Software Process (PSP). As part of this thesis, we analysed the software requirements in support of clinical research and clinical practice based on which a software prototype is developed. The resulting software is a combination of two software modules: Electronic Flow Sheet (EFS) based on a metaphor used in the real world application and Query Module Processor (QMP) based on the clinical research practices of medical doctors. The software prototype was tested with a live database with real end-users and evaluated for its usability. The results of our evaluation show that our prototype does indeed satisfy the needs of clinical researchers and practitioners. According to our evaluation, our EFS performed better than the current methods used for many of the tasks the doctors did everyday and also scored well on the quality parameters of Efficiency, Affect, Helpfulness, Control and Learnability . We believe that the user centered approach practiced in this development allowed us to create a software adaptable for both clinical practice and research.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Leung, Brian
Pagination:vi, 86, i-xxviii leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science and Software Engineering
Thesis Supervisor(s):Radhakrishnan, Thiruvengadam
Identification Number:LE 3 C66C67M 2008 L48
ID Code:975718
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:13
Last Modified:13 Jul 2020 20:08
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