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Authors: Pilar Mata ; Craig Kuziemsky and Liam Peyton

Affiliation: University of Ottawa, Canada

Keyword(s): Clinical Performance Monitoring, Application Development Methodology, Stroke Rehabilitation Monitoring, Performance Measurement, Healthcare.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Design and Development Methodologies for Healthcare IT ; Evaluation and Use of Healthcare IT ; Health Information Systems

Abstract: The capabilities of mobile devices (e.g. flexibility, portability, and the ability to retrieve information quickly) have been leveraged for the development of clinical performance monitoring applications. In this paper we assess the suitability of a methodology for development of clinical performance monitoring applications to support stroke rehabilitation. We use a case study, with two use cases of patients recovering from stroke events, to design a monitoring application at a conceptual level and compare it to other clinical performance monitoring applications.

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Paper citation in several formats:
Mata, P.; Kuziemsky, C. and Peyton, L. (2016). A Development Methodology for a Stroke Rehabilitation Monitoring Application. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 400-405. DOI: 10.5220/0005785104000405

@conference{healthinf16,
author={Pilar Mata. and Craig Kuziemsky. and Liam Peyton.},
title={A Development Methodology for a Stroke Rehabilitation Monitoring Application},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF},
year={2016},
pages={400-405},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005785104000405},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF
TI - A Development Methodology for a Stroke Rehabilitation Monitoring Application
SN - 978-989-758-170-0
IS - 2184-4305
AU - Mata, P.
AU - Kuziemsky, C.
AU - Peyton, L.
PY - 2016
SP - 400
EP - 405
DO - 10.5220/0005785104000405
PB - SciTePress