Quality-of-data broker for quality-of-data-aware telemedicine systems

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
61 Downloads (Pure)

Abstract

Purpose: Telemedicine systems must provide clinical data of sufficient quality (according to medical standards) to support safe treatment guidance of outpatients. Quality of clinical data (QoD) typically varies due to unstable performance of ICT-components of these telemedicine systems. Therefore, telemedicine systems that support treatment guidance of outpatients should be QoD-aware and must be able to appropriately adapt treatment guidance to QoD variations. Only in this way, the effectiveness of treatment guidance and the safety of outpatients can be guaranteed. Methods: This paper follows a design science approach for the development of a functional architecture for QoD-aware telemedicine systems, with emphasis on one key component: the QoD Broker. Existing requirements elicitation methods were refined to deal with capturing QoD-specific requirements. Furthermore, an ontology-driven knowledge management method is proposed to enable the correct interpretation and manipulation of QoD within telemedicine systems. The functional architecture was validated using various methods, including prototype experiments and expert interviews. Result: One of the key components of the proposed functional architecture is the QoD Broker, which is a novel component that adds QoDawareness to telemedicine systems. The QoD Broker obtains quality of service data from ICT components within a given telemedicine system and uses different computational models to compute QoD. This paper presents the QoD Broker architecture and the QoD management techniques implemented in the QoD Broker: (1) QoD dimensions, (2) QoD evaluation (i.e. computational models), (3) QoD stratification models and (4) technological recommendations. Discussion: The paper presents partial results of the validation that was performed in the context of the European MobiGuide project. The validation confirms that the proposed QoD Broker satisfies stakeholders’ requirements and is considered useful to support stakeholders’ goals.
Original languageUndefined
Pages (from-to)210-218
Number of pages9
JournalIRBM (Ingenierie et recherche biomedicale)
Volume37
Issue number4
DOIs
Publication statusPublished - 2016

Keywords

  • EWI-27158
  • Technological context
  • Telemedicine
  • IR-101051
  • Quality of Service
  • Quality of cliniacal data
  • METIS-318498
  • Computational Models

Cite this

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title = "Quality-of-data broker for quality-of-data-aware telemedicine systems",
abstract = "Purpose: Telemedicine systems must provide clinical data of sufficient quality (according to medical standards) to support safe treatment guidance of outpatients. Quality of clinical data (QoD) typically varies due to unstable performance of ICT-components of these telemedicine systems. Therefore, telemedicine systems that support treatment guidance of outpatients should be QoD-aware and must be able to appropriately adapt treatment guidance to QoD variations. Only in this way, the effectiveness of treatment guidance and the safety of outpatients can be guaranteed. Methods: This paper follows a design science approach for the development of a functional architecture for QoD-aware telemedicine systems, with emphasis on one key component: the QoD Broker. Existing requirements elicitation methods were refined to deal with capturing QoD-specific requirements. Furthermore, an ontology-driven knowledge management method is proposed to enable the correct interpretation and manipulation of QoD within telemedicine systems. The functional architecture was validated using various methods, including prototype experiments and expert interviews. Result: One of the key components of the proposed functional architecture is the QoD Broker, which is a novel component that adds QoDawareness to telemedicine systems. The QoD Broker obtains quality of service data from ICT components within a given telemedicine system and uses different computational models to compute QoD. This paper presents the QoD Broker architecture and the QoD management techniques implemented in the QoD Broker: (1) QoD dimensions, (2) QoD evaluation (i.e. computational models), (3) QoD stratification models and (4) technological recommendations. Discussion: The paper presents partial results of the validation that was performed in the context of the European MobiGuide project. The validation confirms that the proposed QoD Broker satisfies stakeholders’ requirements and is considered useful to support stakeholders’ goals.",
keywords = "EWI-27158, Technological context, Telemedicine, IR-101051, Quality of Service, Quality of cliniacal data, METIS-318498, Computational Models",
author = "{Larburu Rubio}, Nekane and Bults, {Richard G.A.} and {van Sinderen}, {Marten J.} and I.A. Widya and Hermens, {Hermanus J.}",
note = "eemcs-eprint-27158",
year = "2016",
doi = "10.1016/j.irbm.2016.05.002",
language = "Undefined",
volume = "37",
pages = "210--218",
journal = "IRBM (Ingenierie et recherche biomedicale)",
issn = "1959-0318",
publisher = "Elsevier Masson",
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}

Quality-of-data broker for quality-of-data-aware telemedicine systems. / Larburu Rubio, Nekane; Bults, Richard G.A.; van Sinderen, Marten J.; Widya, I.A.; Hermens, Hermanus J.

In: IRBM (Ingenierie et recherche biomedicale), Vol. 37, No. 4, 2016, p. 210-218.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Quality-of-data broker for quality-of-data-aware telemedicine systems

AU - Larburu Rubio, Nekane

AU - Bults, Richard G.A.

AU - van Sinderen, Marten J.

AU - Widya, I.A.

AU - Hermens, Hermanus J.

N1 - eemcs-eprint-27158

PY - 2016

Y1 - 2016

N2 - Purpose: Telemedicine systems must provide clinical data of sufficient quality (according to medical standards) to support safe treatment guidance of outpatients. Quality of clinical data (QoD) typically varies due to unstable performance of ICT-components of these telemedicine systems. Therefore, telemedicine systems that support treatment guidance of outpatients should be QoD-aware and must be able to appropriately adapt treatment guidance to QoD variations. Only in this way, the effectiveness of treatment guidance and the safety of outpatients can be guaranteed. Methods: This paper follows a design science approach for the development of a functional architecture for QoD-aware telemedicine systems, with emphasis on one key component: the QoD Broker. Existing requirements elicitation methods were refined to deal with capturing QoD-specific requirements. Furthermore, an ontology-driven knowledge management method is proposed to enable the correct interpretation and manipulation of QoD within telemedicine systems. The functional architecture was validated using various methods, including prototype experiments and expert interviews. Result: One of the key components of the proposed functional architecture is the QoD Broker, which is a novel component that adds QoDawareness to telemedicine systems. The QoD Broker obtains quality of service data from ICT components within a given telemedicine system and uses different computational models to compute QoD. This paper presents the QoD Broker architecture and the QoD management techniques implemented in the QoD Broker: (1) QoD dimensions, (2) QoD evaluation (i.e. computational models), (3) QoD stratification models and (4) technological recommendations. Discussion: The paper presents partial results of the validation that was performed in the context of the European MobiGuide project. The validation confirms that the proposed QoD Broker satisfies stakeholders’ requirements and is considered useful to support stakeholders’ goals.

AB - Purpose: Telemedicine systems must provide clinical data of sufficient quality (according to medical standards) to support safe treatment guidance of outpatients. Quality of clinical data (QoD) typically varies due to unstable performance of ICT-components of these telemedicine systems. Therefore, telemedicine systems that support treatment guidance of outpatients should be QoD-aware and must be able to appropriately adapt treatment guidance to QoD variations. Only in this way, the effectiveness of treatment guidance and the safety of outpatients can be guaranteed. Methods: This paper follows a design science approach for the development of a functional architecture for QoD-aware telemedicine systems, with emphasis on one key component: the QoD Broker. Existing requirements elicitation methods were refined to deal with capturing QoD-specific requirements. Furthermore, an ontology-driven knowledge management method is proposed to enable the correct interpretation and manipulation of QoD within telemedicine systems. The functional architecture was validated using various methods, including prototype experiments and expert interviews. Result: One of the key components of the proposed functional architecture is the QoD Broker, which is a novel component that adds QoDawareness to telemedicine systems. The QoD Broker obtains quality of service data from ICT components within a given telemedicine system and uses different computational models to compute QoD. This paper presents the QoD Broker architecture and the QoD management techniques implemented in the QoD Broker: (1) QoD dimensions, (2) QoD evaluation (i.e. computational models), (3) QoD stratification models and (4) technological recommendations. Discussion: The paper presents partial results of the validation that was performed in the context of the European MobiGuide project. The validation confirms that the proposed QoD Broker satisfies stakeholders’ requirements and is considered useful to support stakeholders’ goals.

KW - EWI-27158

KW - Technological context

KW - Telemedicine

KW - IR-101051

KW - Quality of Service

KW - Quality of cliniacal data

KW - METIS-318498

KW - Computational Models

U2 - 10.1016/j.irbm.2016.05.002

DO - 10.1016/j.irbm.2016.05.002

M3 - Article

VL - 37

SP - 210

EP - 218

JO - IRBM (Ingenierie et recherche biomedicale)

JF - IRBM (Ingenierie et recherche biomedicale)

SN - 1959-0318

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