Adaptation of Semantic Web to Rural Healthcare Delivery

International Journal of Clinical Practice

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 approp...

2021

Health care is one of the popular segments wherein a huge amount of data is being generated every second and in a heterogeneous format. It is only the use of semantic technologies that can act as a guard for data integration and enriching it by adding proper semantics. The Semantic Web gives us a sensible and versatile answer to perceive proficiency across the congregation of healthcare data. Eventually the ultimate goal of improving the health care practices depends on how the healthcare data is linked together. The major challenges to chase the goal are not only limited to enable the integration of heterogeneous data sources but also requires the development of certain tools for efficient search, ontology management, and data analytics. The major objective of this study is to understand the technologies behind the Semantic Web and to unshield the mysteries of application of Semantic Web in the healthcare segment. The data for such an extensive survey was gathered from repositories...

Proceedings of the 47th Annual Southeast Regional …, 2009

It is getting harder to extract useful information from the enormous amount of data that is being collected in the medical information systems or eHealth systems due to the distributed and very complex nature of this data. Semantic web technologies, which are mainly developed for use in web information systems, are providing efficient solutions for the management of complex and distributed data, and it can be used in the medical information systems as well. Semantic web offers solutions in encoding data meaningfully, and consequently data can be searched efficiently, and integrated easily. In this paper we briefly describe semantic web technologies and present current work on the use of semantic web in medical information systems.

Procedia - Social and Behavioral Sciences, 2015

The ultimate goal to improve healthcare practices and the development of better biomedical products largely depends on the ability to share and link the wealth of collected medical data. The key challenge to pursue this ambitious objective is not only enabling the integration of the data spanning heterogeneous data sources and formats, but in the development of tools and standards for flexible search, data analytics and user friendly interfaces. In this paper we conduct an extensive survey on how Semantic Web is used to answer these challenges. First, we review ontology management and semantic data repositories for healthcare. Second, we conduct a survey on most representative applications and user-friendly viewers for semantic healthcare data. Third, we analyze the data mining and data analytics approaches used to find useful patterns and knowledge in these data. Finally, we discuss the positive effects of this synergy between Semantic Web and healthcare processes, and we identify some of the major remaining obstacles and research challenges in this area.

International Journal of …, 2009

Information Systems in the context of the health domain play a critical role. The evolution of the semantic web and knowledge management technologies in the last years set a new context for the exploitation of patient-centric strategies based on well-defined semantics and knowledge. In this paper we have two critical objectives. On the one hand to exploit the state of the art on Semantic Web and Knowledge Management (KM) approaches in the context of the health domain and on the other hand to underline the key challenges within the FP7 framework of the European union for customised and personalised health services.

This chapter explores the technological quest of virtual reality within the field of medicine. Although the author does not intend to provide an exhaustive review of the various health informatics applications of VR over the past 15 years of its development, he presents some of the major technological breakthroughs and their impact in the provision of healthcare services to the pointof-need (i.e., the patient).

International Journal of Technology Management, 2009

Information Systems in the context of the health domain play a critical role. The evolution of the semantic web and knowledge management technologies in the last years set a new context for the exploitation of patient-centric strategies based on well-defined semantics and knowledge. In this paper we have two critical objectives. On the one hand to exploit the state of the art on Semantic Web and Knowledge Management (KM) approaches in the context of the health domain and on the other hand to underline the key challenges within the FP7 framework of the European union for customised and personalised health services.

Communications in Computer and Information Science, 2009

Improving quality of healthcare for people with chronic conditions requires informed and knowledgeable healthcare providers and patients. Decision support and clinical information system are two of the main components to support improving chronic care. In this paper, we describe an ongoing initiative that emphasizes the need for healthcare knowledge management to support both components. Ontology-based knowledge acquisition and modeling based on knowledge engineering approach provides an effective mechanism in capturing expert opinion in form of clinical practice guidelines. The Semantic Web framework is adopted in building a knowledge management platform that allows integration between the knowledge with patient databases and supported publications. We discuss one of the challenges, which is to apply the healthcare knowledge into existing healthcare provider environments by focusing on augmenting decision making and improving quality of patient care services.