Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh.
PG & Research Department of Computer Science, Sullamussalam Science College Areekode, Malappuram, Kerala 673639, India.
Int J Clin Pract. 2022 Oct 18;2022:6807484. doi: 10.1155/2022/6807484. eCollection 2022.
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.
如今，由于数字医疗技术的快速发展，医疗保健已成为最大和发展最快的行业之一。提高医疗服务质量的根本在于沟通和链接大量可用的医疗保健数据。然而，实现这一雄心勃勃的目标的关键挑战在于让信息在异构源和方法之间进行交换，并建立有效的工具和技术。语义网 (SW) 技术可以帮助解决这些问题。它们可以增强医疗系统中的知识交流、信息管理、数据互操作性和决策支持。它们还可以用于创建各种电子医疗系统，帮助医疗从业者做出决策，并为患者提供关键的医疗信息和自动化的医院服务。本关于医疗系统中的语义网的系统文献综述 (SLR) 旨在评估和批判以往的发现，同时遵守适当的研究程序。我们研究了 65 篇论文，并提出了五个主题：电子服务、疾病、信息管理、前沿技术和监管条件。在每个主题研究领域，我们展示了以往文献的贡献。我们通过回答五个具体的研究问题来强调主题。我们通过确定研究差距并建立未来的研究目标来完成 SLR 研究，这将有助于减少在医疗保健系统中采用 SW 的难度，并为基于 SW 的医疗系统的发展提供新方法。
