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Authors: Mohammad Raahemi 1 ; Benjamin Eze 1 ; Cléo Mavriplis 2 and Liam Peyton 1

Affiliations: 1 Faculty of Engineering, University of Ottawa, Ottawa, Canada ; 2 Bruyère Academic Family Health Team, Ottawa, Canada

Keyword(s): Healthcare Applications, Rule-based Content Management, Mobile Applications, Wellness.

Abstract: The number of published healthcare articles is increasing dramatically every year, making it difficult for physicians and patients to stay current with the latest information related to healthcare. One possible approach to improving the ability of physicians and patients to stay current with the latest trends in healthcare is through the use of mobile applications. The challenge to this approach is the lack of a content management framework that allows medical experts to continuously integrate new knowledge and content into the design of easy to use software applications for patients and other healthcare personnel. This paper introduces the CANBeWell mobile application, a rule-based content management application for collecting and aggregating important medical data from medical experts, and disseminating this data to patients and other clinicians using a context-aware mobile app in support of preventive healthcare.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Raahemi, M.; Eze, B.; Mavriplis, C. and Peyton, L. (2020). A Rule-based Content Management Framework for Effective Development of Intelligent Mobile Apps in Healthcare. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 522-529. DOI: 10.5220/0008987405220529

@conference{healthinf20,
author={Mohammad Raahemi. and Benjamin Eze. and Cléo Mavriplis. and Liam Peyton.},
title={A Rule-based Content Management Framework for Effective Development of Intelligent Mobile Apps in Healthcare},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF},
year={2020},
pages={522-529},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008987405220529},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF
TI - A Rule-based Content Management Framework for Effective Development of Intelligent Mobile Apps in Healthcare
SN - 978-989-758-398-8
IS - 2184-4305
AU - Raahemi, M.
AU - Eze, B.
AU - Mavriplis, C.
AU - Peyton, L.
PY - 2020
SP - 522
EP - 529
DO - 10.5220/0008987405220529
PB - SciTePress

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