Augmenting guideline-based CDSS with experts’ knowledge

Nekane Larburu; Naiara Muro; Iván Macía; Eider Sánchez; Hui Wang; John Winder; Jacques Boaud; Brigitte Séroussi

doi:10.5220/0006213903700376

Augmenting guideline-based CDSS with experts’ knowledge

Nekane Larburu, Naiara Muro, Iván Macía, Eider Sánchez, Hui Wang, John Winder, Jacques Boaud, Brigitte Séroussi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

5 Downloads (Pure)

Abstract

Over the past years, clinical guidelines have increasingly become part of the clinical daily practice in order to provide best available Evidence-Based-Medicine services. Hence, their formalization as computer interpretable guidelines (CIG) and their implementation in clinical decision support systems (CDSSs) are emerging to support clinicians in their decision making process and potentially improve medical outcomes. However, guideline compliancy in the clinical daily practice is still “low”. Some of the reasons for such low compliance rate are (i) lack of a complete guideline to cover special clinical cases (e.g. oncogeriatric cases), (ii) absence of parameters that current guidelines do not consider (e.g. lifestyle) and (iii) absence of up-to-date guidelines due to lengthy validation procedures. In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts’ knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.

Original language	English
Title of host publication	Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017
Editors	Egon L. van den Broek, Ana Fred, Hugo Gamboa, Mario Vaz
Publisher	SciTePress
Pages	370-376
Number of pages	7
Volume	5
ISBN (Electronic)	9789897582134
DOIs	https://doi.org/10.5220/0006213903700376
Publication status	Published - 23 Feb 2017
Externally published	Yes
Event	10th International Conference on Biomedical Engineering Systems and Technologies 2017 - Porto, Portugal Duration: 21 Feb 2017 → 23 Feb 2017

Publication series

Name	BIOSTEC Proceedings
ISSN (Electronic)	2184-4305

Conference

Conference	10th International Conference on Biomedical Engineering Systems and Technologies 2017
Abbreviated title	BIOSTEC 2017
Country/Territory	Portugal
City	Porto
Period	21/02/2017 → 23/02/2017

Keywords

Breast Cancer
CDSS
Computer Interpretable Clinical Guidelines
Evidence Based Medicine

ASJC Scopus subject areas

Biomedical Engineering
Electrical and Electronic Engineering
Health Informatics
Health Information Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5220/0006213903700376Licence: CC BY-NC-ND

Augmenting guideline-based CDSS with experts’ knowledge
Copyright 2017 The Authors. This is an open access article published under a Creative Commons Attribution-NonCommercial-NoDerivatives License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 566 KBLicence: CC BY-NC-ND

Cite this

Larburu, N., Muro, N., Macía, I., Sánchez, E., Wang, H., Winder, J., Boaud, J., & Séroussi, B. (2017). Augmenting guideline-based CDSS with experts’ knowledge. In E. L. van den Broek, A. Fred, H. Gamboa, & M. Vaz (Eds.), Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017 (Vol. 5, pp. 370-376). (BIOSTEC Proceedings). SciTePress. https://doi.org/10.5220/0006213903700376

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abstract = "Over the past years, clinical guidelines have increasingly become part of the clinical daily practice in order to provide best available Evidence-Based-Medicine services. Hence, their formalization as computer interpretable guidelines (CIG) and their implementation in clinical decision support systems (CDSSs) are emerging to support clinicians in their decision making process and potentially improve medical outcomes. However, guideline compliancy in the clinical daily practice is still “low”. Some of the reasons for such low compliance rate are (i) lack of a complete guideline to cover special clinical cases (e.g. oncogeriatric cases), (ii) absence of parameters that current guidelines do not consider (e.g. lifestyle) and (iii) absence of up-to-date guidelines due to lengthy validation procedures. In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts{\textquoteright} knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.",

keywords = "Breast Cancer, CDSS, Computer Interpretable Clinical Guidelines, Evidence Based Medicine",

author = "Nekane Larburu and Naiara Muro and Iv{\'a}n Mac{\'i}a and Eider S{\'a}nchez and Hui Wang and John Winder and Jacques Boaud and Brigitte S{\'e}roussi",

year = "2017",

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doi = "10.5220/0006213903700376",

language = "English",

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booktitle = "Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017",

note = "10th International Conference on Biomedical Engineering Systems and Technologies 2017, BIOSTEC 2017 ; Conference date: 21-02-2017 Through 23-02-2017",

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Larburu, N, Muro, N, Macía, I, Sánchez, E, Wang, H, Winder, J, Boaud, J & Séroussi, B 2017, Augmenting guideline-based CDSS with experts’ knowledge. in EL van den Broek, A Fred, H Gamboa & M Vaz (eds), Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017. vol. 5, BIOSTEC Proceedings, SciTePress, pp. 370-376, 10th International Conference on Biomedical Engineering Systems and Technologies 2017, Porto, Portugal, 21/02/2017. https://doi.org/10.5220/0006213903700376

Augmenting guideline-based CDSS with experts’ knowledge. / Larburu, Nekane; Muro, Naiara; Macía, Iván et al.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017. ed. / Egon L. van den Broek; Ana Fred; Hugo Gamboa; Mario Vaz. Vol. 5 SciTePress, 2017. p. 370-376 (BIOSTEC Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Augmenting guideline-based CDSS with experts’ knowledge

AU - Larburu, Nekane

AU - Muro, Naiara

AU - Macía, Iván

AU - Sánchez, Eider

AU - Wang, Hui

AU - Winder, John

AU - Boaud, Jacques

AU - Séroussi, Brigitte

PY - 2017/2/23

Y1 - 2017/2/23

N2 - Over the past years, clinical guidelines have increasingly become part of the clinical daily practice in order to provide best available Evidence-Based-Medicine services. Hence, their formalization as computer interpretable guidelines (CIG) and their implementation in clinical decision support systems (CDSSs) are emerging to support clinicians in their decision making process and potentially improve medical outcomes. However, guideline compliancy in the clinical daily practice is still “low”. Some of the reasons for such low compliance rate are (i) lack of a complete guideline to cover special clinical cases (e.g. oncogeriatric cases), (ii) absence of parameters that current guidelines do not consider (e.g. lifestyle) and (iii) absence of up-to-date guidelines due to lengthy validation procedures. In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts’ knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.

AB - Over the past years, clinical guidelines have increasingly become part of the clinical daily practice in order to provide best available Evidence-Based-Medicine services. Hence, their formalization as computer interpretable guidelines (CIG) and their implementation in clinical decision support systems (CDSSs) are emerging to support clinicians in their decision making process and potentially improve medical outcomes. However, guideline compliancy in the clinical daily practice is still “low”. Some of the reasons for such low compliance rate are (i) lack of a complete guideline to cover special clinical cases (e.g. oncogeriatric cases), (ii) absence of parameters that current guidelines do not consider (e.g. lifestyle) and (iii) absence of up-to-date guidelines due to lengthy validation procedures. In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts’ knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.

KW - Breast Cancer

KW - CDSS

KW - Computer Interpretable Clinical Guidelines

KW - Evidence Based Medicine

U2 - 10.5220/0006213903700376

DO - 10.5220/0006213903700376

M3 - Conference contribution

AN - SCOPUS:85051732367

VL - 5

T3 - BIOSTEC Proceedings

SP - 370

EP - 376

BT - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017

A2 - van den Broek, Egon L.

A2 - Fred, Ana

A2 - Gamboa, Hugo

A2 - Vaz, Mario

PB - SciTePress

T2 - 10th International Conference on Biomedical Engineering Systems and Technologies 2017

Y2 - 21 February 2017 through 23 February 2017

ER -

Larburu N, Muro N, Macía I, Sánchez E, Wang H, Winder J et al. Augmenting guideline-based CDSS with experts’ knowledge. In van den Broek EL, Fred A, Gamboa H, Vaz M, editors, Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017. Vol. 5. SciTePress. 2017. p. 370-376. (BIOSTEC Proceedings). doi: 10.5220/0006213903700376

Augmenting guideline-based CDSS with experts’ knowledge

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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