Knowledge Management in Health Care Using Semantic Web Technology

Intro: At present time various types of databases are available in medical technology. These databases are heterogeneous and distributed, due where utilization of available knowledge which is present in form of information, is not achieved properly. Simply by integrating these data, their utilization can be increased effectively. For drugs related information which is quite distributed and heterogeneous, such kind of integration can be used to develop an efficient knowledge base. Currently, to retrieve information like creativity of a drug, element details etc are wearisome work and are complicated. As a result of lack of proper information or knowledge, it is very difficult to restrict counterfeiting of drugs. In recent survey FOOD AND DRUG ADMINISTRATION found that counterfeit medications are estimated as more than 10% of the global medicines market. In certain developing countries it is thought to be as high as 50%. This kind of practice causes several fatalities world wide. fusionex founder

It also diminishes public confidence in both physicians and the medicine supply chain. Presently, there are several techniques used to check appearance of medication. RFID strategy is one among several techniques to identify the counterfeited medicines. In this technique, an electric nick is employed that emits car radio frequency waves encoding a specific code or IDENTIFICATION. This information is captured with a specialized nick reader at several client of supply chain. The major problem with RFID technology is its cost and readability. Another approach for drug identification is ePedigree (Electronic Pedigree). This kind of technique is still under development and not integrated till now. In this technique some pedigree criteria are used, which keep track of the medication supply chain. As the product moves down the supply chain, each company is required to bring forward all previous epedigree information. In this way, the final point of sale has the complete lineage of every device. Proposed strategy is similar to epedigree but basic big difference is use of semantic webstandards. Proposed system uses semantic web processes to keep track of entire resource chain. Along with providing information about originality of medicine, it also provides all related information to a particular drug.

Design and style of the framework: The complete framework is based on semantic web concept. The framework has various segments like drug search engine, drug verification, drug deal at various degree of source chain, etc. Drug confirmation module permits user to perform drug verification. By simply entering batch number (or any unique identifier of the salable unit) and medicine name user should be able to verify whether a medicine is original or not. Similarly using drug search engine you can get every detail associated with particular drug. Drugs transaction component will be present at various level of medicine supply chain. Every client of the supply sequence will have its one transaction page. All websites will be associated with a centralized system. This kind of centralized system interacts with portals and databases. Central system interacts with data source directly. But whenever data is requested by central system, it will be first become RDF format; afterwards it can be given to the system. So, the framework is totally 3rd party of format of the data. Data can be in the form of PDF, WebPages, Spreadsheets, but finally it will be given to system in homogeneous format i. electronic. RDF format.

How semantic web is employed to create the framework: Before approaching this point let’s first discuss about semantic web as well as components. Semantic Web is development since 1990s when commercial Internet applications were still unimaginable by many business owners. In its fact it is an file format of the technologies that brought the World Extensive Web (WWW) alive. The Semantic Web was thought up by Tim Berners-Lee, inventor of the ONLINE WORLD, URIs, a way which easy for humans to understand. Though they are central to creating and maintaining the Web, the computers themselves really aren’t seem sensible of all this information. They can’t read, see relationships or make decisions like humans can. The Semantic Web suggests to help computers “read” and use the Net. The big idea is pretty simple metadata put into Web pages can make the existing World Large Web machine readable. It will eventually give machines tools to find exchange and understand the information.

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