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Challenges in applying standard telemedicine solutions in the home of type 2 diabetics

Published: 20 May 2014 Publication History

Abstract

Approximately 5.5% of the Danish population is diagnosed with type 2 diabetes mellitus. Of these, a minor group requires regular visits from homecare nurses, to assist with daily medication and insulin injection. In this study we analyzed the deployment of a standard telemedicine platform in the home of seven patients and followed them through a 3 month field study. We found that the enrolled patients did achieve an increased empowerment and self-awareness about their own health conditions. However, the standard telemedicine solution had several short comings, which could lead to reporting errors. Based on our findings, we developed a proof-of-concept prototype to illustrate the ideal solution for this group of patients. This included features such as automatic transfer of weight and blood sugar data, video capture of an insulin monitor for verification of the correct dosage of insulin. Also, an overview of previously taken measurements and storage of these in a telemedicine database was implemented to eliminate the identified challenges.

References

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WHO. Diabetes. 2013; Available at: http://www.who.int/mediacentre/factsheets/fs312/en/. Accessed 12/12, 2013.
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Lægehåndbogen. 2012; Available at: https://www.sundhed.dk/sundhedsfaglig/laegehaandbogen/endokrinologi/tilstande-og-sygdomme/diabetes-mellitus/diabetes-type-2/. Accessed 12/16, 2013.
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Cited By

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  • (2021)Towards Supporting Data-Driven Practices in Stroke Telerehabilitation TechnologyProceedings of the ACM on Human-Computer Interaction10.1145/34490995:CSCW1(1-33)Online publication date: 22-Apr-2021

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PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
May 2014
459 pages
ISBN:9781631900112

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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 20 May 2014

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Author Tags

  1. diabetes mellitus
  2. empowerment
  3. pervasive healthcare
  4. self-care
  5. telemedicine

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PervasiveHealth '14

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Overall Acceptance Rate 55 of 116 submissions, 47%

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  • (2021)Towards Supporting Data-Driven Practices in Stroke Telerehabilitation TechnologyProceedings of the ACM on Human-Computer Interaction10.1145/34490995:CSCW1(1-33)Online publication date: 22-Apr-2021

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