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

Georgy Kopanitsa, Anatoly Karpov, Georgy Lakovenko, Andrey Laskovenko

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

3 Цитирования (Scopus)

Выдержка

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.

Язык оригиналаАнглийский
Название основной публикацииpHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health
ИздательIOS Press
Страницы189-194
Число страниц6
Том224
ISBN (электронное издание)9781614996521
DOI
СостояниеОпубликовано - 2016
Событие13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 - Heraklion, Crete, Греция
Продолжительность: 29 мая 201631 мая 2016

Серия публикаций

НазваниеStudies in Health Technology and Informatics
Том224
ISSN (печатное издание)09269630
ISSN (электронное издание)18798365

Другое

Другое13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016
СтранаГреция
ГородHeraklion, Crete
Период29.5.1631.5.16

Отпечаток

Data visualization
Information Storage and Retrieval
Medical problems
Libraries
XML
Interviews
Visualization
Focus Groups
Communication
Testing
Patient Portals
Therapeutics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Цитировать

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

Implementation of a web portal for diabetes patients using open source data visualization libraries. / Kopanitsa, Georgy; Karpov, Anatoly; Lakovenko, Georgy; Laskovenko, Andrey.

pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Том 224 IOS Press, 2016. стр. 189-194 (Studies in Health Technology and Informatics; Том 224).

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Kopanitsa, G, Karpov, A, Lakovenko, G & Laskovenko, A 2016, Implementation of a web portal for diabetes patients using open source data visualization libraries. в pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. том. 224, Studies in Health Technology and Informatics, том. 224, IOS Press, стр. 189-194, 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016, Heraklion, Crete, Греция, 29.5.16. https://doi.org/10.3233/978-1-61499-653-8-189
Kopanitsa G, Karpov A, Lakovenko G, Laskovenko A. Implementation of a web portal for diabetes patients using open source data visualization libraries. В pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Том 224. IOS Press. 2016. стр. 189-194. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-653-8-189
Kopanitsa, Georgy ; Karpov, Anatoly ; Lakovenko, Georgy ; Laskovenko, Andrey. / Implementation of a web portal for diabetes patients using open source data visualization libraries. pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Том 224 IOS Press, 2016. стр. 189-194 (Studies in Health Technology and Informatics).
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