Quality-of-Data Management for Telemedicine Systems

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

4 Citations (Scopus)

Abstract

This paper describes techniques to manage the quality-of-data (QoD), particularly in telemedicine systems. Hence, clinical data users, such as clinical decision support systems that support ‘real-time’ guidance of ambulatory patients, can process the data together with QoD in order to make the ‘best’ treatment decisions. Current information and communication technology (ICT) applied in telemedicine systems enables remote clinical data collection and delivery to the point of decision, thereby giving opportunities to develop new, pervasive, healthcare applications. However, the QoD in such distributed and decentralized environments is not always guaranteed. We propose QoD management techniques that take into account the multidimensionality of QoD and its ‘fitness for use’. Additionally, we present a technique that handles the quality of ‘real-time’ streaming data. We developed a telemedicine system prototype to investigate the applicability and the usefulness of the proposed techniques.
Original languageEnglish
Title of host publication5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015)
Place of PublicationAmsterdam
PublisherElsevier
Pages451-458
Number of pages8
DOIs
Publication statusPublished - Sep 2015
Event5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2015 - Berlin, Germany
Duration: 27 Sep 201530 Sep 2015
Conference number: 5
http://cs-conferences.acadiau.ca/icth-15/

Publication series

NameProcedia Computer Science (2015)
PublisherElsevier
Volume63
ISSN (Print)1877-0509
ISSN (Electronic)1877-0509

Conference

Conference5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2015
Abbreviated titleICTH
CountryGermany
CityBerlin
Period27/09/1530/09/15
Internet address

Fingerprint

Telemedicine
Information management
Decision support systems
Communication

Keywords

  • SCS-Services
  • EWI-26269
  • BSS-Technology supported cognitive training
  • METIS-314959
  • Quality-of-data dimensions
  • IR-98251
  • Clinical decision-support systems
  • Information and Communication Technology

Cite this

Larburu Rubio, N., Bults, R. G. A., van Sinderen, M. J., & Hermens, H. J. (2015). Quality-of-Data Management for Telemedicine Systems. In 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015) (pp. 451-458). (Procedia Computer Science (2015); Vol. 63). Amsterdam: Elsevier. https://doi.org/10.1016/j.procs.2015.08.367
Larburu Rubio, Nekane ; Bults, Richard G.A. ; van Sinderen, Marten J. ; Hermens, Hermanus J. / Quality-of-Data Management for Telemedicine Systems. 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015). Amsterdam : Elsevier, 2015. pp. 451-458 (Procedia Computer Science (2015)).
@inproceedings{8a4534ca14224a32b00fe8d1b7de78a3,
title = "Quality-of-Data Management for Telemedicine Systems",
abstract = "This paper describes techniques to manage the quality-of-data (QoD), particularly in telemedicine systems. Hence, clinical data users, such as clinical decision support systems that support ‘real-time’ guidance of ambulatory patients, can process the data together with QoD in order to make the ‘best’ treatment decisions. Current information and communication technology (ICT) applied in telemedicine systems enables remote clinical data collection and delivery to the point of decision, thereby giving opportunities to develop new, pervasive, healthcare applications. However, the QoD in such distributed and decentralized environments is not always guaranteed. We propose QoD management techniques that take into account the multidimensionality of QoD and its ‘fitness for use’. Additionally, we present a technique that handles the quality of ‘real-time’ streaming data. We developed a telemedicine system prototype to investigate the applicability and the usefulness of the proposed techniques.",
keywords = "SCS-Services, EWI-26269, BSS-Technology supported cognitive training, METIS-314959, Quality-of-data dimensions, IR-98251, Clinical decision-support systems, Information and Communication Technology",
author = "{Larburu Rubio}, Nekane and Bults, {Richard G.A.} and {van Sinderen}, {Marten J.} and Hermens, {Hermanus J.}",
note = "eemcs-eprint-26269",
year = "2015",
month = "9",
doi = "10.1016/j.procs.2015.08.367",
language = "English",
series = "Procedia Computer Science (2015)",
publisher = "Elsevier",
pages = "451--458",
booktitle = "5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015)",

}

Larburu Rubio, N, Bults, RGA, van Sinderen, MJ & Hermens, HJ 2015, Quality-of-Data Management for Telemedicine Systems. in 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015). Procedia Computer Science (2015), vol. 63, Elsevier, Amsterdam, pp. 451-458, 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2015, Berlin, Germany, 27/09/15. https://doi.org/10.1016/j.procs.2015.08.367

Quality-of-Data Management for Telemedicine Systems. / Larburu Rubio, Nekane; Bults, Richard G.A.; van Sinderen, Marten J.; Hermens, Hermanus J.

5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015). Amsterdam : Elsevier, 2015. p. 451-458 (Procedia Computer Science (2015); Vol. 63).

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

TY - GEN

T1 - Quality-of-Data Management for Telemedicine Systems

AU - Larburu Rubio, Nekane

AU - Bults, Richard G.A.

AU - van Sinderen, Marten J.

AU - Hermens, Hermanus J.

N1 - eemcs-eprint-26269

PY - 2015/9

Y1 - 2015/9

N2 - This paper describes techniques to manage the quality-of-data (QoD), particularly in telemedicine systems. Hence, clinical data users, such as clinical decision support systems that support ‘real-time’ guidance of ambulatory patients, can process the data together with QoD in order to make the ‘best’ treatment decisions. Current information and communication technology (ICT) applied in telemedicine systems enables remote clinical data collection and delivery to the point of decision, thereby giving opportunities to develop new, pervasive, healthcare applications. However, the QoD in such distributed and decentralized environments is not always guaranteed. We propose QoD management techniques that take into account the multidimensionality of QoD and its ‘fitness for use’. Additionally, we present a technique that handles the quality of ‘real-time’ streaming data. We developed a telemedicine system prototype to investigate the applicability and the usefulness of the proposed techniques.

AB - This paper describes techniques to manage the quality-of-data (QoD), particularly in telemedicine systems. Hence, clinical data users, such as clinical decision support systems that support ‘real-time’ guidance of ambulatory patients, can process the data together with QoD in order to make the ‘best’ treatment decisions. Current information and communication technology (ICT) applied in telemedicine systems enables remote clinical data collection and delivery to the point of decision, thereby giving opportunities to develop new, pervasive, healthcare applications. However, the QoD in such distributed and decentralized environments is not always guaranteed. We propose QoD management techniques that take into account the multidimensionality of QoD and its ‘fitness for use’. Additionally, we present a technique that handles the quality of ‘real-time’ streaming data. We developed a telemedicine system prototype to investigate the applicability and the usefulness of the proposed techniques.

KW - SCS-Services

KW - EWI-26269

KW - BSS-Technology supported cognitive training

KW - METIS-314959

KW - Quality-of-data dimensions

KW - IR-98251

KW - Clinical decision-support systems

KW - Information and Communication Technology

U2 - 10.1016/j.procs.2015.08.367

DO - 10.1016/j.procs.2015.08.367

M3 - Conference contribution

T3 - Procedia Computer Science (2015)

SP - 451

EP - 458

BT - 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015)

PB - Elsevier

CY - Amsterdam

ER -

Larburu Rubio N, Bults RGA, van Sinderen MJ, Hermens HJ. Quality-of-Data Management for Telemedicine Systems. In 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015). Amsterdam: Elsevier. 2015. p. 451-458. (Procedia Computer Science (2015)). https://doi.org/10.1016/j.procs.2015.08.367