2022
Blockchain-based Real Time Healthcare Emergency
LAVIGNE, Thomas, Bacem MBAREK a Tomáš PITNERZákladní 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
Kód RIV
RIV/00216224:14330/22:00125228
Organizační jednotka
Fakulta informatiky
ISBN
978-3-030-99003-9
ISSN
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.