Zotov, E., Hills, A.F. orcid.org/0000-0002-6849-6116, de Mello, F.L. et al. (6 more authors) (2020) JointCalc: A web-based personalised patient decision support tool for joint replacement. International Journal of Medical Informatics, 142. 104217. ISSN 1386-5056
Abstract
Background and purpose Health information systems (HIS) are expected to be effective and efficient in improving healthcare services, but empirical observation of HIS reveals that most perform poorly in terms of these metrics. Theoretical factors of HIS performance are widely studied, and solutions to mitigate poor performance have been proposed. In this paper we implement effective methods to eliminate some common drawbacks of HIS design and demonstrate the synergy between the methods. JointCalc, the first comprehensive patient-facing web-based decision support tool for joint replacement, is used as a case study for this purpose.
Methods and results User-centred design and thorough end-user involvement are employed throughout the design and development of JointCalc. This is supported by modern software production paradigms, including continuous integration/continuous development, agile and service-oriented architecture. The adopted methods result in a user-approved application delivered well within the scope of project.
Conclusion This work supports the claims of high potential efficiency of HIS. The methods identified are shown to be applicable in the production of an effective HIS whilst aiding development efficiency.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) The University of Sheffield > Sheffield Teaching Hospitals |
Funding Information: | Funder Grant number Versus Arthritis ARUK-20894 ARTHRITIS RESEARCH UK 20894 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jul 2020 16:32 |
Last Modified: | 25 Aug 2020 13:40 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.ijmedinf.2020.104217 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162723 |