Implementation of a web portal for diabetes patients using open source data visualization libraries

Georgy Kopanitsa, Anatoly Karpov, Georgy Lakovenko, Andrey Laskovenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

To provide a better doctor-patient communication and to better involve patients into a diagnostic and treatment process we implemented a web portal for diabetes patients using open source libraries to present medical data. The medical data was "archetyped" according to the ISO 13606 standard. Visualization properties were defined using visual medical concepts (VMC) in XML format. JQuery libraries were used to build static and dynamic diagrams. To implement user requirements' based interfaces we conducted interviews with doctors and patient focus groups. To test the usability of the portal we conducted usability testing interviews from January to February 2015.

Original languageEnglish
Title of host publicationpHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health
PublisherIOS Press
Pages189-194
Number of pages6
Volume224
ISBN (Electronic)9781614996521
DOIs
Publication statusPublished - 2016
Event13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 - Heraklion, Crete, Greece
Duration: 29 May 201631 May 2016

Publication series

NameStudies in Health Technology and Informatics
Volume224
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016
CountryGreece
CityHeraklion, Crete
Period29.5.1631.5.16

Keywords

  • Diabetes
  • Open source
  • Usability
  • Web portal

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Kopanitsa, G., Karpov, A., Lakovenko, G., & Laskovenko, A. (2016). Implementation of a web portal for diabetes patients using open source data visualization libraries. In pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health (Vol. 224, pp. 189-194). (Studies in Health Technology and Informatics; Vol. 224). IOS Press. https://doi.org/10.3233/978-1-61499-653-8-189