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中文摘要  LOINC(Logical Observation Identifier Names and Codes)

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臺灣檢驗資訊交換使用LOINC 之可行性研究及醫院導入方法效益評估

 中文摘要

 LOINC(Logical Observation Identifier Names and Codes) 標準編碼系統 為國際通用之檢查檢驗訊息交換工具,國內雖已有轉檢及代檢制度施 行,但仍未應用 LOINC 於結果交換及判讀,其主要原因為 LOINC 的 六大屬性與一般醫院常用的表達方式並不一致,使各醫院無從下手進 行對應,而無法實際運用。故本次研究中,將運用 NHI-LOINC 檢驗 對應資料庫與 LOINC 資料庫,分別於七家規模不等且資訊能力不等 的醫院中,由各醫院自行建置院內碼轉換 LOINC 編碼系統的工作,

人工對應或撰寫程式協助對應,再討論各醫院所使用的方法,分析各 醫院的對應成效,找出一個適合國內醫療資訊環境的最佳對應模式,

從研究結果發現當醫院可以完全掌握檢驗資訊系統時,建構一個使用 NHI-LOINC 檢驗對應資料庫的自動對應系統可以快速有效率的完成 院內碼轉換至 LOINC 的過程,而且可以得到良好的自動轉換結果。

相信經由這個研究可以給予日後有需要建置系統的醫療院所,一個省

時省力且正確達成目標的方式。

(2)

The Feasibility of Using LOINC for Laboratory Information Exchange and Assessment of Approaches to Hospital Adoption in Taiwan.

 英文摘要

 LOINC (Logical Observation Identifier Names and Codes), developed by the Regenstrief Insti tute and the College of American Pathologists Information Committee, has been widely accept ed by internationals as a standard for the exchange of laboratory tests and results. The main go al is to provide unified names and codes used for laboratory tests and clinical observation repo rts to facilitate the exchange of electronic medical records. The hospitals in Taiwan usually ha ve cooperative laboratory to examination some of rare tests, but they still not apply the LOIN C to result converting and data exchange. The main reason is because of the six attributes of L OINC is not correspondent to the common expression in most hospitals. It is difficult for hospi tals to find a way to match the local code to LOINC. In this research, we used the NHI-LOINC mapping knowledge base and LOINC database in seven hospitals which had different number of beds and technology ability. Each hospital built in-hospital LOINC code mapping system in dividually and used by different database and mapping tools. Then we discuss and analysis the corresponding effect of different method and database, and try to find out the best mapping sy stem which suit the current hospital information system in Taiwan medical environment. From the research, we could know that when a hospital can totally in charge of the laboratory inform ation system, building an automatic mapping system by used NHI-LOINC mapping knowledg e base can finish the mapping from local code to LOINC in very short time and get a good aut omapping rate. This research can provide a quicker and more accurate way for those hospitals which have the needs for building the mapping system.

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