D 2022

Blockchain-based Real Time Healthcare Emergency

LAVIGNE, Thomas, Bacem MBAREK a Tomáš PITNER

Základní údaje

Originální název

Blockchain-based Real Time Healthcare Emergency

Autoři

LAVIGNE, Thomas (250 Francie), Bacem MBAREK (788 Tunisko, domácí) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

Bizerte, Tunisia, Distributed Computing for Emerging Smart Networks (DiCES-N) -- Workshop, od s. 81-98, 18 s. 2022

Nakladatel

Springer CCIS (Communications in Computer and Information Science)

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Springer link

Kód RIV

RIV/00216224:14330/22:00125228

Organizační jednotka

Fakulta informatiky

ISBN

978-3-030-99003-9

ISSN

DOI

http://dx.doi.org/10.1007/978-3-030-99004-6_5

UT WoS

000873237700005

Klíčová slova anglicky

Blockchain ; Healthcare; Real-time

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 28. 3. 2023 10:03, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.
Zobrazeno: 16. 11. 2024 08:41