Detailed Information on Publication Record
2022
Blockchain-based Real Time Healthcare Emergency
LAVIGNE, Thomas, Bacem MBAREK and Tomáš PITNERBasic information
Original name
Blockchain-based Real Time Healthcare Emergency
Authors
LAVIGNE, Thomas (250 France), Bacem MBAREK (788 Tunisia, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)
Edition
Bizerte, Tunisia, Distributed Computing for Emerging Smart Networks (DiCES-N) -- Workshop, p. 81-98, 18 pp. 2022
Publisher
Springer CCIS (Communications in Computer and Information Science)
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/22:00125228
Organization unit
Faculty of Informatics
ISBN
978-3-030-99003-9
ISSN
UT WoS
000873237700005
Keywords in English
Blockchain ; Healthcare; Real-time
Tags
International impact, Reviewed
Změněno: 28/3/2023 10:03, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Healthcare Real-time emergency systems have attracted a great deal of interest from both academia and industry. It is important to provide timely medical services at remote areas through an effective communication between healthcare providers. The healthcare stakeholders (including the doctors, nurses, etc.) are facing tremendous problems to track the conditions of the patients, trace them, and coordinate their interventions. In several cases, the healthcare stakeholders are acting without or with little coordination since they do not have the same information about the patient. They do not have also the same trace about patient. In order to overcome these problems, we propose in this paper a Blockchain-based Real Time Healthcare Emergency (BRTHE-care) solution that will serve as a common platform for the healthcare stakeholders to provide immediate or real-time tracking and management of the conditions of the patients. The platform will also help Healthcare providers to interact with medical history records. Furthermore, we propose an intelligent agent to release the doctors from requesting updates about historical records and to help doctors in diagnosing disease. We run simulations using the Hyperledger Fabric Blockchain tool. Results show the efficiency of our solution in terms of communication failures, latency measurements, and the sending rates.