BCGeo: Blockchain-Assisted Geospatial Web Service for Smart Healthcare System

被引:4
作者
Mallick, Soubhagya Ranjan [1 ]
Lenka, Rakesh K. [1 ]
Goswami, Veena [2 ]
Sharma, Suraj [3 ]
Dalai, Asish Kumar [4 ]
Das, Himansu [5 ]
Barik, Rabindra K. [2 ]
机构
[1] Int Inst Informat Technol, Dept Comp Sci & Engn, Bhubaneswar 751003, India
[2] KIIT Deemed Univ, Sch Comp Applicat, Bhubaneswar 751024, India
[3] Guru Ghasidas Vishwavidhalaya, Dept Comp Sci & Engn, Bilaspur 495009, Chhattisgarh, India
[4] AP Univ, Vellore Inst Technol, Sch Comp Sci & Engn, Amaravati 522237, India
[5] KIIT Deemed Univ, Sch Comp Engn, Bhubaneswar 751024, India
关键词
Blockchain; geospatial web services; medical data; healthcare; queueing model; IoT;
D O I
10.1109/ACCESS.2023.3283776
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most recent research on healthcare systems has focused on integrating the Internet of Things (IoT), Blockchain technology, and cloud computing to enhance the performance of IoT devices with limited resource availability, create smart healthcare platforms, and offer patients the best possible healthcare service. Modern healthcare systems use large-scale sensor devices to address many challenges brought on by the conventional delivery of healthcare services. Most studies have lately identified data collection, massive data processing, geolocating, access management, device prioritization, and storing as primary issues in most IoT healthcare systems. Decentralization, privacy, security, scalability, trust, anonymity, and building geospatial-based intelligent healthcare systems for patient care are significant difficulties that most healthcare systems today must overcome. Blockchain technology in healthcare platforms is noteworthy and innovative since it opens platforms for data privacy, anonymity, and validity through the consensus process. In this work, we proposed a novel decentralized Blockchain-enabled geospatial service architecture for smart healthcare systems called BCGeo. The proposed framework offers an online geospatial healthcare service for residents of Bhubaneswar, a city in India, who are newcomers to the city and are less familiar with its local healthcare organizations. An analytical queueing method prioritizes serving Critical patients more than other patients. In contrast to previously proposed frameworks, the proposed framework includes immutability, scalability, geospatial mapping, patient prioritizing, and decentralized privacy protection policies for addressing the technical challenges in most of the current healthcare systems. Additionally, it explains the performance analysis of BCGeo. It includes graphs showing the various possible outcomes of arithmetic operations, performance measurement, and experimental results on the proposed architecture.
引用
收藏
页码:58610 / 58623
页数:14
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