Abstract:
:Reablement is new paradigm to increase independence in the home amongst the ageing population. And it remains a challenge to design an optimal electronic system to streamline and integrate reablement into current healthcare infrastructure. Furthermore, given reablement requires collaboration with a range of organisations (including national healthcare institutions and community/voluntary service providers), such a system needs to be co-created with all stakeholders involved. Thus, the purpose of this study is, (1) to bring together stakeholder groups to elicit a comprehensive set of requirements for a digital reablement system, (2) to utilise emerging technologies to implement a system and a data model based on the requirements gathered and (3) to involve user groups in a usability assessment of the system. In this study we employed a mixed qualitative approach that included a series of stakeholder-involved activities. Collectively, 73 subjects were recruited to participate in an ideation event, a quasi-hackathon and a usability study. The study unveiled stakeholder-led requirements, which resulted in a novel cloud-based system that was created using emerging web technologies. The system is driven by a unique data model and includes interactive features that are necessary for streamlining the reablement care model. In summary, this system allows community based interventions (or services) to be prescribed to occupants whilst also monitoring the occupant's progress of independent living.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Bond RR,Mulvenna MD,Finlay DD,Martin Sdoi
10.1016/j.jbi.2015.05.008subject
Has Abstractpub_date
2015-08-01 00:00:00pages
30-41eissn
1532-0464issn
1532-0480pii
S1532-0464(15)00088-Xjournal_volume
56pub_type
杂志文章abstract:BACKGROUND:A tool that can predict the estimated glomerular filtration rate (eGFR) in routine daily care can help clinicians to make better decisions for kidney transplant patients and to improve transplantation outcome. In this paper, we proposed a hybrid prediction model for predicting a future value for eGFR during ...
journal_title:Journal of biomedical informatics
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abstract::This study examines the ability of nonclinical adverse event observations to predict human clinical adverse events observed in drug development programs. In addition it examines the relationship between nonclinical and clinical adverse event observations to drug withdrawal and proposes a model to predict drug withdraw...
journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章,评审
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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更新日期:2020-03-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2007.10.003
更新日期:2008-04-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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journal_title:Journal of biomedical informatics
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更新日期:2019-07-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2009.08.004
更新日期:2010-02-01 00:00:00
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2014.01.005
更新日期:2014-06-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2014.03.014
更新日期:2014-10-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章,多中心研究
doi:10.1016/j.jbi.2018.03.007
更新日期:2018-05-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2018.04.007
更新日期:2018-07-01 00:00:00
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journal_title:Journal of biomedical informatics
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