Quality-of-Data Management for Telemedicine Systems

Nekane Larburu Rubio; Richard G.A. Bults; Marten J. van Sinderen; Hermanus J. Hermens

doi:10.1016/j.procs.2015.08.367

Quality-of-Data Management for Telemedicine Systems

Nekane Larburu Rubio, Richard G.A. Bults, Marten J. van Sinderen, Hermanus J. Hermens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 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 language	English
Title of host publication	5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2015)
Place of Publication	Amsterdam
Publisher	Elsevier
Pages	451-458
Number of pages	8
DOIs	https://doi.org/10.1016/j.procs.2015.08.367
Publication status	Published - Sep 2015
Event	5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2015 - Berlin, Germany Duration: 27 Sep 2015 → 30 Sep 2015 Conference number: 5 http://cs-conferences.acadiau.ca/icth-15/

Publication series

Name	Procedia Computer Science (2015)
Publisher	Elsevier
Volume	63
ISSN (Print)	1877-0509
ISSN (Electronic)	1877-0509

Conference

Conference	5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2015
Abbreviated title	ICTH
Country	Germany
City	Berlin
Period	27/09/15 → 30/09/15
Internet address	http://cs-conferences.acadiau.ca/icth-15/

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

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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). Elsevier. https://doi.org/10.1016/j.procs.2015.08.367

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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 {\textquoteleft}real-time{\textquoteright} guidance of ambulatory patients, can process the data together with QoD in order to make the {\textquoteleft}best{\textquoteright} 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 {\textquoteleft}fitness for use{\textquoteright}. Additionally, we present a technique that handles the quality of {\textquoteleft}real-time{\textquoteright} 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 ; 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2015, ICTH ; Conference date: 27-09-2015 Through 30-09-2015",

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doi = "10.1016/j.procs.2015.08.367",

language = "English",

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publisher = "Elsevier",

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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 proceeding › Conference contribution › Academic › peer-review

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AU - Hermens, Hermanus J.

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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.

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KW - EWI-26269

KW - BSS-Technology supported cognitive training

KW - METIS-314959

KW - Quality-of-data dimensions

KW - IR-98251

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KW - Information and Communication Technology

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