Towards Automatic HL7-RIM and Relational Database Mapping
نویسندگان
چکیده
Health Level Seven (HL7) is an emerging standard in the healthcare industry. HL7 version 3.0 (v3) targets to achieve semantic interoperability among the healthcare systems through HL7 Reference Information Model (RIM). In any healthcare system, information is ultimately stored in the database, which requires mapping of database to HL7 RIM. A key bottleneck in building HL7 systems is the laborious manual construction of mappings between the HL7 RIM and the local clinical databases. HL7 v3 messages, composed of classes, attributes and association identifiers, can be parsed to any relational database composite of tables, attributes and associated identifiers. Manually creating mappings is extremely tedious and error-prone. We propose an approach to automatically find such mappings. The technique exploits domain integrity constraints and user feed-back and performs simple as well as complex mappings. It extends our previous work utilizing different matching strategies and implements significant improvements and offers a comprehensive infrastructure to solve RIM to schema mapping problems.
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