Data Extract Pattern Mining Research Based On HL7 Electronic Medical Record

The electronic medical record is the basic request for realization of the management pattern which takes the patient as the central, and it is an inevitable trend of the digitized medical service development .It includes all the information of during the patient in the hospital diagnosis and treatment. Because the HL7 standard has just proposed and is also in the process of further consummation, electronic medical record data extract and pattern mining have been studied little. In order to realize the information exchange between the different departments, Thenon- standard electronic medical record must be transformed into the standard one. The standard electronic medical record observes the HL7V3 standard, its CDA (Clinical Document Architecture) messages are expressed with XML. Because medical record documents expressed by XML exists the correspondence XML Schema, the standard electronic medical record messages transformation and data extract become possible. According to the above, mapping based on the object-oriented model actuation has realized transformation by class graph of HL7V3 reference information model. In this foundation, by NET FrameWork's XML read-write and the documents class, the use the technology of documents object model and pull model, has carried on the message validity confirmation to the standardized medical record messages, and has realized electronic medical records data extract. Finally, system gain data through the electronic medical record data extract interface, produces the candidate frequent collection using the Apriori algorithm connection operation, and structure condition pattern tree according to the candidate frequent collection, realized the frequent pattern excavation to improve the FP-growth algorithm to realize the frequent pattern minning. Worked through above, system has completed based on HL7 electron medical record data extract and the pattern minning duty, has satisfied the electronic medical record exchange of information and the data analysis request, thus it laid the certain foundation for knowledge discovered based on the HL7 electronic medical record.