LAVIGNE, Thomas, Bacem MBAREK and Tomáš PITNER. An Intelligent Blockchain application for Emergency Medical Services. Online. In The 37th ACM/SIGAPP Symposium On Applied Computing (SAC 2022). Brno: ACM, 2022, p. 1983-1986. ISBN 978-1-4503-8713-2. Available from: https://dx.doi.org/10.1145/3477314.3507210.
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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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/22:00125104
Organization unit Faculty of Informatics
ISBN 978-1-4503-8713-2
Doi http://dx.doi.org/10.1145/3477314.3507210
UT WoS 000946564100270
Keywords in English IoT; Blockchain; Healthcare; Network; Real-time
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 16/8/2023 13:24.
Abstract
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.
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