Please use this identifier to cite or link to this item:
http://hdl.handle.net/11434/2027
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wickramasinghe, N | - |
dc.contributor.other | Joachim, Shane | - |
dc.contributor.other | Jayaraman, Prem | - |
dc.contributor.other | Forkan, Abdur | - |
dc.contributor.other | Morshed, Ashan | - |
dc.date.accessioned | 2021-11-11T04:34:14Z | - |
dc.date.available | 2021-11-11T04:34:14Z | - |
dc.date.issued | 2021-01-05 | - |
dc.identifier.uri | http://hdl.handle.net/11434/2027 | - |
dc.description.abstract | Diabetes Mellitus a prevalent chronic disease that affects people from all genders and ages, continues to grow exponentially with predictions of nearly 578 million people affected by 2030. Self-management, known to be an essential aspect of any care program can help patients with diabetics to control blood glucose and thereby reduce the impact and likely complications. However, self-management to date has included the development of digital health solutions have poor sustained uptake. This is primarily since such digital solutions have a poor fit with patient and clinician needs. In this paper we propose a digital platform for supporting patients with diabetes. The proposed platform is a work-in-progress research and has been co-designed and co-developed (jointly with patients and clinicians) based on design science principles and includes key aspects of task-technology fit information system theory for further evaluation. | en_US |
dc.subject | Personal Health and Wellness Management with Technologies | en_US |
dc.subject | Design Principle | en_US |
dc.subject | Diabetes | en_US |
dc.subject | Online Education | en_US |
dc.subject | Self-management | en_US |
dc.subject | Task Technology Fit | en_US |
dc.subject | Health Informatics Clinical Institute, Epworth HealthCare, Victoria, Australia | en_US |
dc.title | Developing personalised diabetic platform using a Design Science Research Methodology | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://scholarspace.manoa.hawaii.edu/handle/10125/71075 | en_US |
dc.description.affiliates | Swinburne University of Technology, Australia | en_US |
dc.description.affiliates | Central Queensland University | en_US |
dc.description.conferencename | 54th HICSS 2021 (Hawaii International conference on System Sciences) | en_US |
dc.description.conferencelocation | Hawaii USA | en_US |
dc.type.contenttype | Text | en_US |
Appears in Collections: | Health Informatics |
Files in This Item:
There are no files associated with this item.
Items in Epworth are protected by copyright, with all rights reserved, unless otherwise indicated.