Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology

Boomadevi Sekar; Jean-Baptiste Lamy; Naiara Muro; Amaia Ugarriza  Pinedo; Brigitte Seroussi; Nakane  Larburu; Gilles Guézennec; Jacques Bouaud; Frank Guijarro Masero; Mónica  Arrúec; H. Wang

doi:10.1109/HealthCom.2018.8531128

Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology

Boomadevi Sekar, Jean-Baptiste Lamy, Naiara Muro, Amaia Ugarriza Pinedo, Brigitte Seroussi, Nakane Larburu, Gilles Guézennec, Jacques Bouaud, Frank Guijarro Masero, Mónica Arrúec, H. Wang

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

Abstract

Abstract— Breast cancer is the most common type of cancer in women worldwide, with incidence rate being second highest to other types of cancer. In the current clinical setting, multidisciplinary breast units are introduced to improve the quality of the therapeutic decision based on the best evidencebased practices. DESIREE project aims to provide a webbased software ecosystem for personalized, collaborative and multidisciplinary management of primary breast cancer by specialized breast units, from diagnosis to therapy and followups. In order to provide a multi-model decision support to clinicians in present clinical settings, the project develops and integrates three modalities of decision support, namely guideline-based decision support system (DSS), experiencebased DSS and case-based DSS. Visual analytics GUI are developed to properly adapt the results of the DSSs and graphically represent them to the clinician in a user-friendly manner. DESIREE information management system (DESIMS), serves as the interface between the user and DSSs for entering patient data and viewing the results in the visual analytics GUI. In this paper, we present the overall architecture, workflow and integration of the three DSSs in the DESIREE platform.

Original language	English
DOIs	https://doi.org/10.1109/HealthCom.2018.8531128
Publication status	Published (in print/issue) - 17 Sept 2018
Event	2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) - Czech Republic, Ostrava, Czech Republic Duration: 17 Sept 2018 → 20 Mar 2019

Conference

Conference	2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)
Country/Territory	Czech Republic
City	Ostrava
Period	17/09/18 → 20/03/19

Keywords

Clinical decision support system
ontology
clinical based guidelines
experience-based decision support
casebased decision support

UN SDGs

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

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10.1109/HealthCom.2018.8531128

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Sekar, B., Lamy, J.-B., Muro, N., Pinedo, A. U., Seroussi, B., Larburu, N., Guézennec, G., Bouaud, J., Masero, F. G., Arrúec, M., & Wang, H. (2018). Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology. Paper presented at 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) , Ostrava, Czech Republic. https://doi.org/10.1109/HealthCom.2018.8531128

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title = "Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology",

abstract = "Abstract— Breast cancer is the most common type of cancer in women worldwide, with incidence rate being second highest to other types of cancer. In the current clinical setting, multidisciplinary breast units are introduced to improve the quality of the therapeutic decision based on the best evidencebased practices. DESIREE project aims to provide a webbased software ecosystem for personalized, collaborative and multidisciplinary management of primary breast cancer by specialized breast units, from diagnosis to therapy and followups. In order to provide a multi-model decision support to clinicians in present clinical settings, the project develops and integrates three modalities of decision support, namely guideline-based decision support system (DSS), experiencebased DSS and case-based DSS. Visual analytics GUI are developed to properly adapt the results of the DSSs and graphically represent them to the clinician in a user-friendly manner. DESIREE information management system (DESIMS), serves as the interface between the user and DSSs for entering patient data and viewing the results in the visual analytics GUI. In this paper, we present the overall architecture, workflow and integration of the three DSSs in the DESIREE platform. ",

keywords = "Clinical decision support system, ontology, clinical based guidelines, experience-based decision support, casebased decision support",

author = "Boomadevi Sekar and Jean-Baptiste Lamy and Naiara Muro and Pinedo, {Amaia Ugarriza} and Brigitte Seroussi and Nakane Larburu and Gilles Gu{\'e}zennec and Jacques Bouaud and Masero, {Frank Guijarro} and M{\'o}nica Arr{\'u}ec and H. Wang",

year = "2018",

month = sep,

day = "17",

doi = "10.1109/HealthCom.2018.8531128",

language = "English",

note = "2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) ; Conference date: 17-09-2018 Through 20-03-2019",

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Sekar, B, Lamy, J-B, Muro, N, Pinedo, AU, Seroussi, B, Larburu, N, Guézennec, G, Bouaud, J, Masero, FG, Arrúec, M & Wang, H 2018, 'Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology', Paper presented at 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) , Ostrava, Czech Republic, 17/09/18 - 20/03/19. https://doi.org/10.1109/HealthCom.2018.8531128

Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology. / Sekar, Boomadevi; Lamy, Jean-Baptiste; Muro, Naiara et al.
2018. Paper presented at 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) , Ostrava, Czech Republic.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology

AU - Sekar, Boomadevi

AU - Lamy, Jean-Baptiste

AU - Muro, Naiara

AU - Pinedo, Amaia Ugarriza

AU - Seroussi, Brigitte

AU - Larburu, Nakane

AU - Guézennec, Gilles

AU - Bouaud, Jacques

AU - Masero, Frank Guijarro

AU - Arrúec, Mónica

AU - Wang, H.

PY - 2018/9/17

Y1 - 2018/9/17

N2 - Abstract— Breast cancer is the most common type of cancer in women worldwide, with incidence rate being second highest to other types of cancer. In the current clinical setting, multidisciplinary breast units are introduced to improve the quality of the therapeutic decision based on the best evidencebased practices. DESIREE project aims to provide a webbased software ecosystem for personalized, collaborative and multidisciplinary management of primary breast cancer by specialized breast units, from diagnosis to therapy and followups. In order to provide a multi-model decision support to clinicians in present clinical settings, the project develops and integrates three modalities of decision support, namely guideline-based decision support system (DSS), experiencebased DSS and case-based DSS. Visual analytics GUI are developed to properly adapt the results of the DSSs and graphically represent them to the clinician in a user-friendly manner. DESIREE information management system (DESIMS), serves as the interface between the user and DSSs for entering patient data and viewing the results in the visual analytics GUI. In this paper, we present the overall architecture, workflow and integration of the three DSSs in the DESIREE platform.

AB - Abstract— Breast cancer is the most common type of cancer in women worldwide, with incidence rate being second highest to other types of cancer. In the current clinical setting, multidisciplinary breast units are introduced to improve the quality of the therapeutic decision based on the best evidencebased practices. DESIREE project aims to provide a webbased software ecosystem for personalized, collaborative and multidisciplinary management of primary breast cancer by specialized breast units, from diagnosis to therapy and followups. In order to provide a multi-model decision support to clinicians in present clinical settings, the project develops and integrates three modalities of decision support, namely guideline-based decision support system (DSS), experiencebased DSS and case-based DSS. Visual analytics GUI are developed to properly adapt the results of the DSSs and graphically represent them to the clinician in a user-friendly manner. DESIREE information management system (DESIMS), serves as the interface between the user and DSSs for entering patient data and viewing the results in the visual analytics GUI. In this paper, we present the overall architecture, workflow and integration of the three DSSs in the DESIREE platform.

KW - Clinical decision support system

KW - ontology

KW - clinical based guidelines

KW - experience-based decision support

KW - casebased decision support

U2 - 10.1109/HealthCom.2018.8531128

DO - 10.1109/HealthCom.2018.8531128

M3 - Paper

T2 - 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)

Y2 - 17 September 2018 through 20 March 2019

ER -

Intelligent Clinical Decision Support Systems for Patient-Centered Healthcare in Breast Cancer Oncology

Abstract

Conference

Keywords

UN SDGs

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