An Automated Approach towards Smart Healthcare with Blockchain and Smart Contracts

Haque, Akm Bahalul; Muniat, Ayman; Ullah, Parisha Rafiq; Mushsharat, Shimin

doi:10.1109/icccis51004.2021.9397158

Cited by 15 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e frameworks described depended on the proper data distribution from various sources supported by specific technology interventions [24]. To answer patient queries, SW-based systems such as appointment matchmaking, quality assurance, and NLP-based chatbots have been proposed to improve healthcare services [24,111,112].…”

Section: Discussionmentioning

confidence: 99%

“…Most of the studies that we examined discussed the importance of knowledge sharing among clinicians and patients to develop an effective medical service. The frameworks described depended on the proper data distribution from various sources supported by specific technology interventions [ 24 ]. To answer patient queries, SW-based systems such as appointment matchmaking, quality assurance, and NLP-based chatbots have been proposed to improve healthcare services [ 24 , 111 , 112 ].…”

Section: Discussionmentioning

confidence: 99%

“…The frameworks described depended on the proper data distribution from various sources supported by specific technology interventions [ 24 ]. To answer patient queries, SW-based systems such as appointment matchmaking, quality assurance, and NLP-based chatbots have been proposed to improve healthcare services [ 24 , 111 , 112 ]. In short, the Semantic Web has huge potential and is widely regarded as the web's future, Web 3.0, which will present a new challenge and opportunity in combining healthcare big data with the web to make it more intelligent [ 6 , 113 ].…”

Section: Discussionmentioning

confidence: 99%

“…They can assist with medical training in a resource-constrained environment. To illustrate, Haque et al [ 8 ], Chondrogiannis et al [ 98 ], Haque and Bhushan [ 99 ], and Haque et al [ 24 ] created a secure, fast, and decentralized application that uses blockchain technologies to allow users and health insurance organizations to reach an agreement during the implementation of the healthcare insurance policies in each contract. To preserve the formal expression of both insured users' data and contract terms, health standards and Semantic Web technologies were used.…”

Section: Analysis Of the Selected Articles: Thematic Areasmentioning

confidence: 99%

“…Semantic Web not only enables information system interoperability but also addresses some of the most challenging issues with automated healthcare web service settings. SW combined with AI, IoT, and other technologies has produced a smart healthcare system that enables the standardization and depiction of medical data [ 1 , 23 , 24 ]. In terms of economic efficiency, the Semantic Web-Based Healthcare Framework (SWBHF) is said to benchmark the existing BioMedLib Search Engine [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Haque

Arifuzzaman

Siddik

et al. 2022

International Journal of Clinical Practice

View full text Add to dashboard Cite

Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge in reaching this ambitious goal is letting the information exchange across heterogeneous sources and methods as well as establishing efficient tools and techniques. Semantic Web (SW) technology can help to tackle these problems. They can enhance knowledge exchange, information management, data interoperability, and decision support in healthcare systems. They can also be utilized to create various e-healthcare systems that aid medical practitioners in making decisions and provide patients with crucial medical information and automated hospital services. This systematic literature review (SLR) on SW in healthcare systems aims to assess and critique previous findings while adhering to appropriate research procedures. We looked at 65 papers and came up with five themes: e-service, disease, information management, frontier technology, and regulatory conditions. In each thematic research area, we presented the contributions of previous literature. We emphasized the topic by responding to five specific research questions. We have finished the SLR study by identifying research gaps and establishing future research goals that will help to minimize the difficulty of adopting SW in healthcare systems and provide new approaches for SW-based medical systems’ progress.

show abstract

Section: Discussionmentioning

confidence: 99%