Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes.
Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes.
复制标题
审核三个大型机构之间 LOINC 使用的一致性和有用性 - 使用版本空间对 LOINC 代码进行分组。
DOI：
10.1016/j.jbi.2012.01.008
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发表时间：
2012-08
影响因子：
4.5
通讯作者：
Huff, S. M.
中科院分区：
文献类型：
--
作者：
Lin, M. C.;Vreeman, D. J.;McDonald, Clement J.;Huff, S. M.
关键词：
我们想开发一种方法来评估跨不同机构使用LOINC代码的一致性和有用性，并评估在使用LOINC代码进行实验室数据交换时可以达到的互操作性程度。我们的具体目标是：1)确定在LOINC中是否存在任何矛盾的知识。2)确定在系统之间以真正可互操作的方式使用了多少LOINC代码。3)提出改进LOINC语义互操作性的建议。我们从三个机构收集了LOINC用法的外延定义（EDs）。使用版本空间方法将LOINC代码划分为小集，这使得跨机构的LOINC使用审计变得可行。然后，我们比较了来自三个机构的LOINC代码的一致性和有用性。评估的LOINC代码数量分别为1,917,1,267和1,693，分别来自ARUP， Intermountain和Regenstrief。ARUP & Intermountain、Intermountain & Regenstrief和ARUP & Regenstrief分别有2,022个、2,030个和2,301个版本空间。以ed作为金标准，包含矛盾知识的对有104、109和112对，语义上可互操作的对有1165、765和1121对。可互操作的数据对分为三个级别：1)第一级-意义不丢失，通过相同的代码交换完整的信息。2)第二级-没有丢失意义，但需要对数据进行处理，使数据完全具有可比性。3)第三级：一些意义的丧失。例如，具有特定“方法”的测试可以与“无方法”的测试合并。使用LOINC进行数据交换的方式有很多变化，导致一些数据不能真正跨不同企业进行互操作。为了改进其语义互操作性，我们需要检测和纠正LOINC中任何相互矛盾的知识，并添加可计算的关系，这些关系可用于对数据进行可靠的推断。LOINC委员会还应就从本地代码映射到LOINC代码以及在数据交换中使用LOINC代码的最佳做法提供详细指导。
We wanted to develop a method for evaluating the consistency and usefulness of LOINC code use across different institutions, and to evaluate the degree of interoperability that can be attained when using LOINC codes for laboratory data exchange. Our specific goals were to: 1) Determine if any contradictory knowledge exists in LOINC. 2) Determine how many LOINC codes were used in a truly interoperable fashion between systems. 3) Provide suggestions for improving the semantic interoperability of LOINC. We collected Extensional Definitions (EDs) of LOINC usage from three institutions. The version space approach was used to divide LOINC codes into small sets, which made auditing of LOINC use across the institutions feasible. We then compared pairings of LOINC codes from the three institutions for consistency and usefulness. The number of LOINC codes evaluated were 1,917, 1,267 and 1,693 as obtained from ARUP, Intermountain and Regenstrief respectively. There were 2,022, 2,030, and 2,301 version spaces among ARUP & Intermountain, Intermountain & Regenstrief and ARUP & Regenstrief respectively. Using the EDs as the gold standard, there were 104, 109 and 112 pairs containing contradictory knowledge and there were 1,165, 765 and 1,121 semantically interoperable pairs. The interoperable pairs were classified into three levels: 1) Level I – No loss of meaning, complete information was exchanged by identical codes. 2) Level II – No loss of meaning, but processing of data was needed to make the data completely comparable. 3) Level III – Some loss of meaning. For example, tests with a specific ‘method’ could be rolled-up with tests that were ‘methodless’. There are variations in the way LOINC is used for data exchange that result in some data not being truly interoperable across different enterprises. To improve its semantic interoperability, we need to detect and correct any contradictory knowledge within LOINC and add computable relationships that can be used for making reliable inferences about the data. The LOINC committee should also provide detailed guidance on best practices for mapping from local codes to LOINC codes and for using LOINC codes in data exchange.
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影响因子：
4.5
作者：
Cimino, JJ;Min, H;Perl, Y
通讯作者：
Perl, Y
DOI：
10.1197/jamia.m2882
发表时间：
2009-05-01
影响因子：
6.4
作者：
Dugas, Martin;Thun, Sylvia;Heitmann, Kai U.
通讯作者：
Heitmann, Kai U.
DOI：
10.7326/0003-4819-127-8_part_2-199710151-00049
发表时间：
1997-10-15
影响因子：
39.2
作者：
McDonald, CJ;Overhage, JM;Dwyer, DM
通讯作者：
Dwyer, DM
影响因子：
9.3
作者：
McDonald, CJ;Huff, SM;Maloney, P
通讯作者：
Maloney, P
影响因子：
4.5
作者：
Zhu X;Fan JW;Baorto DM;Weng C;Cimino JJ
通讯作者：
Cimino JJ