D 2022

An Intelligent Blockchain application for Emergency Medical Services

LAVIGNE, Thomas, Bacem MBAREK and Tomáš PITNER

Basic information

Original name

An Intelligent Blockchain application for Emergency Medical Services

Authors

LAVIGNE, Thomas (250 France), Bacem MBAREK (788 Tunisia, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)

Edition

Brno, The 37th ACM/SIGAPP Symposium On Applied Computing (SAC 2022), p. 1983-1986, 4 pp. 2022

Publisher

ACM

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/22:00125104

Organization unit

Faculty of Informatics

ISBN

978-1-4503-8713-2

DOI

UT WoS

000946564100270

Keywords in English

IoT; Blockchain; Healthcare; Network; Real-time

Tags

International impact, Reviewed
Změněno: 16/8/2023 13:24, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

With growing awareness of the importance of digital healthcare systems, an efficient health care system can contribute to a significant part to improve the lives of patients. To improve quality of emergency medical care, we propose in this paper an Intelligent Blockchain application for emergency medical services that use real-time patient data. Specifically, the treatment of real-time data of emergency patients can help the clinical team to deliver health care early. The main underlying idea of our solution is to ensure that data that are gathered are as accurate as possible. To this aim, in this paper, we focus in particular on the detection of false data measurement in emergency medical services. We propose a new Blockchain-based health care monitoring by integrating the Blockchain technique to IoT networks, where the agent-based policy is proposed to detect IoT sensor attacks in the form of false data measurement. The simulation results show that the proposed solution has a low network latency and acceptable sending rate.