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A Hybrid Cloud Approach for Sharing Health Information in Chronic Disease Self-Management

Context: Health information sharing improves the performance of patient self-management when dealing with challenging chronic disease care. Cloud computing has the potential to provide a more imaginative long-term solution compared with traditional systems. However, there is a need for identifying a suitable way to share patient health information via cloud. Objectives: This study aims to identify what health information is suitable and valuable to share from a type 2 diabetes patient when multiple stakeholders are involved for different purposes, and find out a promising and achievable cloud based solution which enables patients to share the health information what and where they want to share. Methods: To get a clear and deep understanding on the subject area, and identify available knowledge and information on relevant researches, a literature review was performed. And then, a prototype on the case of type 2 diabetes is implemented to prove the feasibility of the proposed solution after analyzing the knowledge acquired from literatures. Finally, professionals and patient were interviewed to evaluate and improve the proposed solution. Results: A hybrid cloud solution is identified as a suitable way to enable patient to share health information for promoting the treatment of chronic disease. Conclusions: Based on the research with type 2 diabetes, it was concluded that most records in daily life such as physiologic measurements, non-physiologic measurements and lifestyle are valuable for the treatment of chronic diseases. It was also concluded that hybrid cloud is suitable and achievable for sharing patient-recorded health information among trusted and semi-trusted stakeholders. Moreover, anonymous and patient opt-in consent model are suitable when sharing to semi-trusted stakeholders.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-3632
Date January 2013
CreatorsPeng, Cong
PublisherBlekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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