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Efficient medical image access in diagnostic environments with limited resources
Institute of Informatics – INF, Universidade Federal do Rio Grande do Sul – UFRGS, Av. Bento Gonçalves, Porto Alegre, RS, Brazil / Animati - Computação aplicada à Saúde, Santa Maria, RS, Brazil.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Universidade Federal da Fronteira Sul – UFFS, Chapecó, SC, Brazil. (Interaction Lab)ORCID iD: 0000-0001-6479-4856
Medvia Diagnósticos, Porto Alegre, RS, Brazil.
Laboratory for Applied Computing – LaCA, Universidade Federal de Santa Maria – UFSM, Santa Maria, RS, Brazil.
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2016 (English)In: Research on Biomedical Engineering, ISSN 2446-4732, Vol. 32, no 4, 347-357 p.Article in journal (Refereed) Published
Abstract [en]

Introduction

A medical application running outside the workstation environment has to deal with several constraints, such as reduced available memory and low network bandwidth. The aim of this paper is to present an approach to optimize the data flow for fast image transfer and visualization on mobile devices and remote stationary devices.

Methods

We use a combination of client- and server-side procedures to reduce the amount of information transferred by the application. Our approach was implemented on top of a commercial PACS and evaluated through user experiments with specialists in typical diagnosis tasks. The quality of the system outcome was measured in relation to the accumulated amount of network data transference and the amount of memory used in the host device. Besides, the system's quality of use (usability) was measured through participants’ feedback.

Results

Contrarily to previous approaches, ours keeps the application within the memory constraints, minimizing data transferring whenever possible, allowing the application to run on a variety of devices. Moreover, it does that without sacrificing the user experience. Experimental data point that over 90% of the users did not notice any delays or degraded image quality, and when they did, they did not impact on the clinical decisions.

Conclusion

The combined activities and orchestration of our methods allow the image viewer to run on resource-constrained environments, such as those with low network bandwidth or little available memory. These results demonstrate the ability to explore the use of mobile devices as a support tool in the medical workflow.

Place, publisher, year, edition, pages
Sociedade Brasileira de Engenharia Biomédica , 2016. Vol. 32, no 4, 347-357 p.
Keyword [en]
mHealth, Teleradiology, Radiology, Mobile viewer
National Category
Biomedical Laboratory Science/Technology
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-13451DOI: 10.1590/2446-4740.05915Scopus ID: 2-s2.0-85012299138OAI: oai:DiVA.org:his-13451DiVA: diva2:1084401
Projects
Appification of Medical Reports
Available from: 2017-03-24 Created: 2017-03-24 Last updated: 2017-07-11Bibliographically approved

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Bevilacqua, Fernando
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
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Output format
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