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Lu, Weiran (2013) Using technology to accurately capture functional outcomes in sarcoma patients. [Dissertation (University of Nottingham only)]

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Abstract

The project is in collaboration with the Nottingham University Hospital (NHS) and focuses on capturing information to inform the evaluation of the functional outcomes following sarcoma treatment. The Toronto Extremity Salvage Score (TESS) is the actual survey exist and already commonly used within the NHS for monitoring and evaluating the physical function of individuals and group of patients who undergoing limb preservation surgery for tumors of the extremities over time and measuring change in function due to different therapeutic interventions (1).

• Problem: the existing process of paper-based TESS survey implementation in NHS failed to achieve their intended purpose of utilizes the functional outcomes data to capture the useful information for the further evaluation.

• Objectives: solve the exposed problem of functional outcome data (following sarcoma treatment) gathering and capturing in NHS, using technology to improve the current operation mechanism and pattern for data collecting and processing. Finally, accomplish digital data capture, analysis and visualization.

• Methodology: agile software management method is used to management the entire project. The human computer interactive (HCI) knowledge mainly support on requirement gathering, the design of high usability application and high quality evaluation questionnaire. For the implementation part, android based TESS questionnaire app is achieved by JAVA language, and Android SDK and Eclipse as the development environment. The PC based database driven host application programs by Visual Studio 2012 compiler for C#, and MySQL database to store and retrieve data.

• Achievements: an Android based tablet TESS questionnaire application realized accurately digital functional outcome data gathering and transfer, and a Windows PC based system achieved the transferred results reviewing, analyzing and visualization. The entire system is qualified to replace the current process used in NHS.

Item Type:	Dissertation (University of Nottingham only)
Keywords:	TESS, functional outcome data, paper-based data collection, digital data collection, data analysis and visualization.
Depositing User:	Gonzalez-Orbegoso, Mrs Carolina
Date Deposited:	19 Nov 2015 11:39
Last Modified:	06 Jan 2018 01:44
URI:	https://eprints.nottingham.ac.uk/id/eprint/30859

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