Clemson Livestock Poultry Health, Columbia, SC.
J Vet Diagn Invest. 2021 May;33(3):415-418. doi: 10.1177/1040638721994829. Epub 2021 Feb 10.
The local laboratory with a local client-base, that never needs to exchange information with any outside entity, is a dying breed. As marketing channels, animal movement, and reporting requirements become increasingly national and international, the need to communicate about laboratory tests and results grows. Local and proprietary names of laboratory tests often fail to communicate enough detail to distinguish between similar tests. To avoid a lengthy description of each test, laboratories need the ability to assign codes that, although not sufficiently user-friendly for day-to-day use, contain enough information to translate between laboratories and even languages. The Logical Observation Identifiers Names and Codes (LOINC) standard provides such a universal coding system. Each test-each atomic observation-is evaluated on 6 attributes that establish its uniqueness at the level of clinical-or epidemiologic-significance. The analyte detected, analyte property, specimen, and result scale combine with the method of analysis and timing (for challenge and metabolic type tests) to define a unique LOINC code. Equipping laboratory results with such universal identifiers creates a world of opportunity for cross-institutional data exchange, aggregation, and analysis, and presents possibilities for data mining and artificial intelligence on a national and international scale. A few challenges, relatively unique to regulatory veterinary test protocols, require special handling.
以本地客户群为基础的本地实验室正在逐渐消失。随着营销渠道、动物流动和报告要求变得越来越国际化,对实验室测试和结果进行交流的需求也在不断增长。实验室测试的本地和专有名称通常无法传达足够的细节来区分相似的测试。为了避免对每个测试进行冗长的描述,实验室需要能够分配代码,这些代码虽然不便于日常使用,但包含足够的信息,可以在实验室之间甚至语言之间进行转换。逻辑观察标识符名称和代码 (LOINC) 标准提供了这样的通用编码系统。每个测试——每个原子观察——都根据 6 个属性进行评估,这些属性在临床或流行病学意义上建立了其独特性。检测到的分析物、分析物特性、标本和结果范围与分析方法和时间(用于挑战和代谢类型测试)相结合,定义了一个独特的 LOINC 代码。为实验室结果配备这样的通用标识符为机构间数据交换、聚合和分析创造了机会,并为国家和国际范围内的数据挖掘和人工智能提供了可能性。一些相对独特的监管兽医测试协议的挑战需要特殊处理。