| Summary: | 碩士 === 臺北醫學大學 === 醫學資訊研究所 === 95 === With the diversified development and rapid growing of the information systems, compatibility of different medical information systems between hospitals become a critical issue for exchange of medical information. The compatibility issue results in ineffective data exchange and integration. Statistical analysis of such examination data can’t be complete in-situ, and has to be adjusted from one to another depending on exchanging content. In Taiwan, Most hospitals use local codes to report their Microbiology tests data. Using the local codes for exchanging the laboratory data makes different system unable to understand and reuse. Therefore, a standard for laboratory data exchange is very important for establishing a common interface and decreasing the complexity of medical records exchange.
Many researches have been conducted in the standardization of laboratory tests and clinical observations. Most of them focus upon automatic data recognition to the database and also adoption of expert’s knowledge. LOINC(Logical Observation Identifier Names and Codes) has been developed to facilitate the transmission and storing of clinical laboratory results among different sources of clinical laboratories since 1995. LOINC has been widely adopted internationally. Since NHI(National Health Insurance) codes have been used for insurance claim, they are adopted by most hospitals in Taiwan. In order to solve the difficulty in mapping of local code and LONIC in laboratory, Mr. Chi-Chieh Lu built up a NHI-LONIC database in his research “Build of Taiwan LONIC database”. This database allows each hospital who are willing to convert their local code to LOINC codes through NHI code. However, microbiology tests is usually very complicated and available for multiple choices. Somehow, it is still not fully satisfied for the mapping of microbiological tests and LONIC codes.
The purpose of this research is to use an extensively recognized LONIC code in laboratory information system, and have built up a microbiology LOINC mapping database. Therefore, it is necessary to collect the need of clinical data and result of laboratory tests in each hospital and expand the corresponding information of microbiological item and LONIC code in NHI-LONIC database through comparison of local code, NHI codes, and LONIC codes. In This paper, we present methods to create a microbiology related name database and develop a web-base assistant system for mapping local code of microbiology tests to corresponding LOINC. Our approach can reduce the learning curve and required domain knowledge for the LOINC. Hopefully, a common data exchanging system that can meaningfully differentiate laboratory tests and report can be established to assist laboratory data exchange in different hospitals and laboratory centers. In addition, methodology of converting local code to LONIC will be built up to improve the information sharing between hospitals, DOH(Department of Health), and CDC(Centers for Disease Control).
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