D 2022

Blockchain-based Real Time Healthcare Emergency

LAVIGNE, Thomas, Bacem MBAREK and Tomáš PITNER

Basic 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.