An Intelligent Blockchain application for Emergency Medical Services

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00125104" target="_blank" >RIV/00216224:14330/22:00125104 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3477314.3507210" target="_blank" >http://dx.doi.org/10.1145/3477314.3507210</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3477314.3507210" target="_blank" >10.1145/3477314.3507210</a>

Result language

angličtina

Original language name

An Intelligent Blockchain application for Emergency Medical Services

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

The 37th ACM/SIGAPP Symposium On Applied Computing (SAC 2022)

ISBN

9781450387132

ISSN

—

e-ISSN

—

Number of pages

4

Pages from-to

1983-1986

Publisher name

ACM

Place of publication

Brno

Event location

Brno, Czech Republic,

Event date

Apr 25, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000946564100270