| Summary: | 碩士 === 台北醫學院 === 醫學資訊研究所 === 90 === The purpose of the present study is to build knowledge bases and to map framework for Taiwan LOINC. The LOINC codes have been greeted enthusiastically since they were released to the Internet in April of 1996. Since then fourteen revisions have been released and it now includes over 29,000 observation concepts. The informatics committee of the College of American Pathologists has endorsed the LOINC codes. The American Clinical Laboratory Association (ACLA), an association of large referral laboratories whose members are responsible for more than 60% of US outpatient laboratory test volume, has recommended LOINC for adoption by its members. Quest Diagnostics (formerly Corning MetPath), LabCorp, and SmithKline Beecham (now part of Quest Diagnostics), three of the largest commercial laboratories in the US, have adopted LOINC as their code system for reportable test results, as has ARUP (Associated Regional and University Pathologists). Mayo Medical Laboratories is currently mapping their tests to LOINC. In addition, all US veterinary medicine laboratories have committed to the use of LOINC.
The database includes fields for each of the six parts of the name. In addition, it may also contain EUCLIDES codes (for the component/analytic part of the name), IUPAC/IFCC codes, and ASTM codes, as well as related words, synonyms, and comments. Related words ("synonyms") are included to facilitate searches for individual laboratory test and clinical observation results.
In Taiwan, however, the hospitals use local codes to report the diagnostics. The disadvantages of local codes is to prevent the exchange data of medical informatics. The respective local codes of various hospitals lack of consistent diagnostic classification and coding rules. Therefore, it is time-consuming to compare or analyze diagnostic results between two laboratories. Moreover, the purpose of the NHI codes is for calculating insurance cost, not for clinical use. Consequently, building the knowledge bases for mapping coding systems is worthwhile.
The present study first reviewed the LOINC database, and then introduced the differences between various local codes in Taiwan’s hospitals. Finally, by using NHI code as an interface, the present study built knowledge bases to map the local codes to LOINC codes. The mapping system was investigated by a hematology test and it showed that the mapping system was efficient and useful. Lastly, implication to the present study and further research was discussed in the last chapter.
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