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

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 i...

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Main Authors: A. K. M. Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T. S. Saleena, Morshed Alam, Md. Rabiul Islam, Foyez Ahmmed, Md. Jamal Hossain
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Clinical Practice
Online Access:http://dx.doi.org/10.1155/2022/6807484
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author A. K. M. Bahalul Haque
B. M. Arifuzzaman
Sayed Abu Noman Siddik
Abul Kalam
Tabassum Sadia Shahjahan
T. S. Saleena
Morshed Alam
Md. Rabiul Islam
Foyez Ahmmed
Md. Jamal Hossain
author_facet A. K. M. Bahalul Haque
B. M. Arifuzzaman
Sayed Abu Noman Siddik
Abul Kalam
Tabassum Sadia Shahjahan
T. S. Saleena
Morshed Alam
Md. Rabiul Islam
Foyez Ahmmed
Md. Jamal Hossain
author_sort A. K. M. Bahalul Haque
collection DOAJ
description 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.
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spelling doaj-art-e955300adfda4304b37010c50624f0a42025-08-20T03:21:08ZengWileyInternational Journal of Clinical Practice1742-12412022-01-01202210.1155/2022/6807484Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research AvenuesA. K. M. Bahalul Haque0B. M. Arifuzzaman1Sayed Abu Noman Siddik2Abul Kalam3Tabassum Sadia Shahjahan4T. S. Saleena5Morshed Alam6Md. Rabiul Islam7Foyez Ahmmed8Md. Jamal Hossain9Electrical and Computer EngineeringElectrical and Computer EngineeringElectrical and Computer EngineeringElectrical and Computer EngineeringElectrical and Computer EngineeringPG & Research Department of Computer ScienceInstitute of Education and ResearchDepartment of PharmacyDepartment of StatisticsDepartment of PharmacyToday, 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.http://dx.doi.org/10.1155/2022/6807484
spellingShingle A. K. M. Bahalul Haque
B. M. Arifuzzaman
Sayed Abu Noman Siddik
Abul Kalam
Tabassum Sadia Shahjahan
T. S. Saleena
Morshed Alam
Md. Rabiul Islam
Foyez Ahmmed
Md. Jamal Hossain
Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues
International Journal of Clinical Practice
title Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues
title_full Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues
title_fullStr Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues
title_full_unstemmed Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues
title_short Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues
title_sort semantic web in healthcare a systematic literature review of application research gap and future research avenues
url http://dx.doi.org/10.1155/2022/6807484
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