A Clinical Decision Support System based on an Unobtrusive Mobile App

Ariella Richardson, Avigail Perl, Sapir Natan, Gil Segev

2019

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.

Paper Citation

in Harvard Style

Richardson A., Perl A., Natan S. and Segev G. (2019). A Clinical Decision Support System based on an Unobtrusive Mobile App.In Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-368-1, pages 167-173. DOI: 10.5220/0007587001670173

in Bibtex Style

@conference{ict4awe19,
author={Ariella Richardson and Avigail Perl and Sapir Natan and Gil Segev},
title={A Clinical Decision Support System based on an Unobtrusive Mobile App},
booktitle={Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2019},
pages={167-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007587001670173},
isbn={978-989-758-368-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - A Clinical Decision Support System based on an Unobtrusive Mobile App
SN - 978-989-758-368-1
AU - Richardson A.
AU - Perl A.
AU - Natan S.
AU - Segev G.
PY - 2019
SP - 167
EP - 173
DO - 10.5220/0007587001670173