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New intelligent network approach for monitoring physiological parameters : the case of Benin

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Medenou, Daton, Ahouandjinou, Mêtowanou H., Piaggio, Davide, Houessouvo, Roland C., Pecchia, Leandro and Jossou, Thierry R. (2020) New intelligent network approach for monitoring physiological parameters : the case of Benin. Health and Technology, 10 . pp. 1311-1322. doi:10.1007/s12553-020-00418-5 ISSN 2190-7188.

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Official URL: https://doi.org/10.1007/s12553-020-00418-5

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Abstract

Benin health system is facing many challenges as: (i) affordable high-quality health care to a growing population providing need, (ii) patients’ hospitalization time reduction, (iii) and presence time of the nursing staff optimization. Such challenges can be solved by remote monitoring of patients. To achieve this, five steps were followed. 1) Identification of the Wireless Body Area Network (WBAN) systems’ characteristics and the patient physiological parameters’ monitoring. 2) The national Integrated Patient Monitoring Network (RIMP) architecture modeling in a cloud of Technocenters. 3) Cross-analysis between the characteristics and the functional requirements identified. 4) Each Technocenter’s functionality simulation through: a) the design approach choice inspired by the life cycle of V systems; b) functional modeling through SysML Language; c) the communication technology and different architectures of sensor networks choice studying. 5) An estimate of the material resources of the national RIMP according to physiological parameters. A National Integrated Network for Patient Monitoring (RNIMP) remotely, ambulatory or not, was designed for Beninese health system. The implementation of the RNIMP will contribute to improve patients’ care in Benin. The proposed network is supported by a repository that can be used for its implementation, monitoring and evaluation. It is a table of 36 characteristic elements each of which must satisfy 5 requirements relating to: medical application, design factors, safety, performance indicators and materiovigilance.

Item Type: Journal Article
Subjects: J Political Science > JZ International relations
R Medicine > R Medicine (General)
R Medicine > RT Nursing
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Medical care -- Benin, Wireless communication systems in medical care -- Benin, Medical informatics -- Benin
Journal or Publication Title: Health and Technology
Publisher: Springer
ISSN: 2190-7188
Official Date: 17 April 2020
Dates:
DateEvent
17 April 2020Published
9 March 2020Accepted
18 December 2019Submitted
Volume: 10
Page Range: pp. 1311-1322
DOI: 10.1007/s12553-020-00418-5
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Copyright Holders: authors
Description:

A Correction to this article was published on 25 May 2020
https://link.springer.com/article/10.1007/s12553-020-00439-0
Medenou, D., Ahouandjinou, M.H., Piaggio, D. et al. Correction to: New intelligent network approach for monitoring physiological parameters: the case of Benin. Health Technol. 10, 1323 (2020).

Date of first compliant deposit: 18 April 2020
Date of first compliant Open Access: 20 April 2020
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