Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2014.11a
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- Pages.137-139
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- 2014
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Web-Enabler: Transformation of Conventional HIMS Data to Semantics Structure Using Hadoop MapReduce
- Idris, Muhammad (Dept. of Computer Engineering, Kyung Hee University) ;
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Lee, Sungyoung
(Dept. of Computer Engineering, Kyung Hee University)
- Published : 2014.11.05
Abstract
Objective: Data exchange, interoperability, and access as a service in healthcare information management systems (HIMS) is the basic need to provision health-services. Data existing in various HIMS not only differ in the basic underlying structure but also in data processing systems. Data interoperability can only be achieved when following a common structure or standard which is shareable such as semantics based structures. We propose web-enabler: A Hadoop MapReduce based distributed approach to transform the existing huge variety data in variety formats to a conformed and flexible ontological format that enables easy access to data, sharing, and providing various healthcare services. Results: For proof of concept, we present a case study of general patient record in conventional system to be enabled for analysis on the web by transforming to semantics based structure. Conclusion: This work achieves transformation of stale as well as future data to be web-enabled and easily available for analytics in healthcare systems.
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