Bluetooth-Based Healthcare Information and Medical Resource Management System.

Internet of Things MQTT healthcare information indoor positioning medical resource management physiological information wearable devices

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
07 Jun 2023
Historique:
received: 13 02 2023
revised: 30 04 2023
accepted: 31 05 2023
medline: 10 7 2023
pubmed: 8 7 2023
entrez: 8 7 2023
Statut: epublish

Résumé

This paper presents a healthcare information and medical resource management platform utilizing wearable devices, physiological sensors, and an indoor positioning system (IPS). This platform provides medical healthcare information management based on the physiological information collected by wearable devices and Bluetooth data collectors. The Internet of Things (IoT) is constructed for this medical care purpose. The collected data are classified and used to monitor the status of patients in real time with a Secure MQTT mechanism. The measured physiological signals are also used for developing an IPS. When the patient is out of the safety zone, the IPS will send an alert message instantly by pushing the server to remind the caretaker, easing the caretaker's burden and offering extra protection for the patient. The presented system also provides medical resource management with the help of IPS. The medical equipment and devices can be tracked by IPS to tackle some equipment rental problems, such as lost and found. A platform for the medical staff work coordination information exchange and transmission is also developed to expedite the maintenance of medical equipment, providing the shared medical information to healthcare and management staff in a timely and transparent manner. The presented system in this paper will finally reduce the loading of medical staff during the COVID-19 pandemic period.

Identifiants

pubmed: 37420555
pii: s23125389
doi: 10.3390/s23125389
pmc: PMC10302901
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Science and Technology, Taiwan
ID : MOST 109-2622-E-239-008

Références

IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):1040-8
pubmed: 19726266
Sensors (Basel). 2020 Dec 18;20(24):
pubmed: 33352918
IEEE J Biomed Health Inform. 2015 Nov;19(6):1873-81
pubmed: 26241979
Healthcare (Basel). 2022 Oct 11;10(10):
pubmed: 36292441
Micromachines (Basel). 2022 Dec 06;13(12):
pubmed: 36557452

Auteurs

Chao-Shu Chang (CS)

Department of Information Management, National United University, Miaoli 36003, Taiwan.

Tin-Hao Wu (TH)

Department of Information Management, National United University, Miaoli 36003, Taiwan.

Yu-Chi Wu (YC)

Department of Electrical Engineering, National United University, Miaoli 36003, Taiwan.

Chin-Chuan Han (CC)

Department of Computer Science and Information Engineering, National United University, Miaoli 36003, Taiwan.

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Classifications MeSH