Semantically Interoperable Research Medical Data and Meta Data Extraction Strategy
Generally, the interoperability is the key feature to any widely used application or an information system. A system build on the basis of semantic data interpretation can also lead to an easy extensible and adaptable system, in the future. Otherwise, you have to deal with a lack of agreed terminologies or codes between standards e.g. DASTA vs. HL7, different coding structures and even variety of file formats or inconsistent database table schema. The most of these difficulties can be solved by the semantically interoperable system. We present our implementation strategy and meta data extraction methods for a research information system with an heterogeneous medical data. The medical data can have different origin, type, file format and even its version. We discuss the research information system that we primarily use for cerebrovascular brain diseases research.
Petr Vcelak Jana Kle(c)kova
Department of Computer Science and Engineering University of West Bohemia in Pilsen, Czech Republic
国际会议
上海
英文
1950-1954
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）