A clinical decision support system based on an unobtrusive mobile app

Ariella Richardson; Avigail Perl; Sapir Natan; Gil Segev

doi:10.5220/0007587001670173

A clinical decision support system based on an unobtrusive mobile app

Ariella Richardson, Avigail Perl, Sapir Natan, Gil Segev

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

2 Scopus citations

Abstract

Clinical decision support systems typically rely on medical records and information collected in the doctor's office. We propose a clinical decision support system that uses data collected from patients continuously and in an unobtrusive manner. The system uses data collected from a mobile app installed on the patient's device (such as a mobile phone, smart-watch etc). The app collects data without user interference and combines it with conventional medical records. Our system uses machine learning methods to extract meaningful insights from the data. The output from the learning process is then presented to the doctor in a clear and meaningful fashion on a web based platform. This system can be used to assist effective treatment selection, enable early diagnosis, trigger alarms in case of an emergency and provide a tool for disease monitoring. We describe our clinical decision support system and directions for future work.

Original language	English
Title of host publication	ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health
Editors	Martina Ziefle, Leszek Maciaszek, Leszek Maciaszek
Publisher	SciTePress
Pages	167-173
Number of pages	7
ISBN (Electronic)	9789897583681
DOIs	https://doi.org/10.5220/0007587001670173
State	Published - 2019
Externally published	Yes
Event	5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019 - Heraklion, Crete, Greece Duration: 2 May 2019 → 4 May 2019

Publication series

Name	ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health

Conference

Conference	5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019
Country/Territory	Greece
City	Heraklion, Crete
Period	2/05/19 → 4/05/19

Bibliographical note

Publisher Copyright:
Copyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved

Keywords

Cardiovascular Disease
Clinical Decision Support System (CDSS)
Digital Health
Digital Monitoring
Medical Decision Support System (MDSS)
Mobile Health
Silent Disease

UN SDGs

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

Access to Document

10.5220/0007587001670173

Cite this

Richardson, A., Perl, A., Natan, S., & Segev, G. (2019). A clinical decision support system based on an unobtrusive mobile app. In M. Ziefle, L. Maciaszek, & L. Maciaszek (Eds.), ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health (pp. 167-173). (ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health). SciTePress. https://doi.org/10.5220/0007587001670173

Richardson, Ariella ; Perl, Avigail ; Natan, Sapir et al. / A clinical decision support system based on an unobtrusive mobile app. ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health. editor / Martina Ziefle ; Leszek Maciaszek ; Leszek Maciaszek. SciTePress, 2019. pp. 167-173 (ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health).

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abstract = "Clinical decision support systems typically rely on medical records and information collected in the doctor's office. We propose a clinical decision support system that uses data collected from patients continuously and in an unobtrusive manner. The system uses data collected from a mobile app installed on the patient's device (such as a mobile phone, smart-watch etc). The app collects data without user interference and combines it with conventional medical records. Our system uses machine learning methods to extract meaningful insights from the data. The output from the learning process is then presented to the doctor in a clear and meaningful fashion on a web based platform. This system can be used to assist effective treatment selection, enable early diagnosis, trigger alarms in case of an emergency and provide a tool for disease monitoring. We describe our clinical decision support system and directions for future work.",

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author = "Ariella Richardson and Avigail Perl and Sapir Natan and Gil Segev",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved; 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019 ; Conference date: 02-05-2019 Through 04-05-2019",

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Richardson, A, Perl, A, Natan, S & Segev, G 2019, A clinical decision support system based on an unobtrusive mobile app. in M Ziefle, L Maciaszek & L Maciaszek (eds), ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, SciTePress, pp. 167-173, 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019, Heraklion, Crete, Greece, 2/05/19. https://doi.org/10.5220/0007587001670173

A clinical decision support system based on an unobtrusive mobile app. / Richardson, Ariella; Perl, Avigail; Natan, Sapir et al.
ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health. ed. / Martina Ziefle; Leszek Maciaszek; Leszek Maciaszek. SciTePress, 2019. p. 167-173 (ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health).

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

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Richardson A, Perl A, Natan S, Segev G. A clinical decision support system based on an unobtrusive mobile app. In Ziefle M, Maciaszek L, Maciaszek L, editors, ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health. SciTePress. 2019. p. 167-173. (ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health). doi: 10.5220/0007587001670173

A clinical decision support system based on an unobtrusive mobile app

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this