Quality of data computational models and telemedicine treatment effects

Nekane Larburu Rubio, I.A. Widya, Richard G.A. Bults, Hermanus J. Hermens

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)

    Abstract

    Clinical decision-support functions of telemedicine systems use patient's monitored clinical data to support treatment of outpatients. However, the quality of monitored clinical data may vary due to performance variations of technological resources inside a deployed telemedicine system. This paper discusses models to compute quality of clinical data affected by quality of service provided by technological resources along the data processing and delivery chain between the point of monitoring and point of decision. We discuss prospective effects of quality of clinical data degradation on outpatient treatment with medical practitioners, and implement these effects in the clinical decision-making process during design time. Consequently, the designed telemedicine system is technological context and quality-aware and preserves patient's safety and treatment efficacy.
    Original languageUndefined
    Title of host publication16th IEEE International Conference on e-Health Networking, Healthcom 2014
    Place of PublicationBrazil
    PublisherIEEE
    Pages364-369
    Number of pages6
    ISBN (Print)978-1-4799-6644-8
    DOIs
    Publication statusPublished - Oct 2014
    Event16th IEEE International Conference on e-Health Networking - Natal, Brazil
    Duration: 15 Oct 201418 Oct 2014
    Conference number: 16th
    http://healthcom2014.ieee-healthcom.org/

    Publication series

    Name
    PublisherIEEE

    Conference

    Conference16th IEEE International Conference on e-Health Networking
    Abbreviated titleHealthcom 2014
    CountryBrazil
    CityNatal
    Period15/10/1418/10/14
    Internet address

    Keywords

    • EWI-24828
    • BSS-Technology supported cognitive training
    • Technological Context- and Quality-Aware Telemedicine
    • METIS-312443
    • Quality of Service
    • IR-96276
    • Computational Models
    • Quality of Data

    Cite this

    Larburu Rubio, N., Widya, I. A., Bults, R. G. A., & Hermens, H. J. (2014). Quality of data computational models and telemedicine treatment effects. In 16th IEEE International Conference on e-Health Networking, Healthcom 2014 (pp. 364-369). Brazil: IEEE. https://doi.org/10.1109/HealthCom.2014.7001870