Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories

Raja A. Cholan, Gregory Pappas, Greg Rehwoldt, A. Sills, Elizabeth D. Korte, I. K. Appleton, Natalie M Scott, W. Rubinstein, Sara A. Brenner, Riki Merrick, W. Hadden, K. E. Campbell, Michael S. Waters
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引用次数: 1

Abstract

Abstract Objective Assess the effectiveness of providing Logical Observation Identifiers Names and Codes (LOINC®)-to-In Vitro Diagnostic (LIVD) coding specification, required by the United States Department of Health and Human Services for SARS-CoV-2 reporting, in medical center laboratories and utilize findings to inform future United States Food and Drug Administration policy on the use of real-world evidence in regulatory decisions. Materials and Methods We compared gaps and similarities between diagnostic test manufacturers’ recommended LOINC® codes and the LOINC® codes used in medical center laboratories for the same tests. Results Five medical centers and three test manufacturers extracted data from laboratory information systems (LIS) for prioritized tests of interest. The data submission ranged from 74 to 532 LOINC® codes per site. Three test manufacturers submitted 15 LIVD catalogs representing 26 distinct devices, 6956 tests, and 686 LOINC® codes. We identified mismatches in how medical centers use LOINC® to encode laboratory tests compared to how test manufacturers encode the same laboratory tests. Of 331 tests available in the LIVD files, 136 (41%) were represented by a mismatched LOINC® code by the medical centers (chi-square 45.0, 4 df, P < .0001). Discussion The five medical centers and three test manufacturers vary in how they organize, categorize, and store LIS catalog information. This variation impacts data quality and interoperability. Conclusion The results of the study indicate that providing the LIVD mappings was not sufficient to support laboratory data interoperability. National implementation of LIVD and further efforts to promote laboratory interoperability will require a more comprehensive effort and continuing evaluation and quality control.
实验室检测数据编码:五个实验室实施卫生与公众服务部要求及相关标准的案例研究
【摘要】目的评估美国卫生与公众服务部要求在医疗中心实验室提供逻辑观察标识符名称和代码(LOINC®)到体外诊断(LIVD)编码规范的有效性,并利用研究结果为美国食品和药物管理局未来在监管决策中使用真实证据的政策提供信息。材料和方法我们比较了诊断测试制造商推荐的LOINC®代码与医疗中心实验室用于相同测试的LOINC®代码之间的差异和相似之处。结果五家医疗中心和三家检测制造商从实验室信息系统(LIS)中提取数据,优先进行感兴趣的检测。数据提交范围为每个站点74至532个LOINC®代码。三家测试制造商提交了15个LIVD目录,代表26种不同的设备,6956种测试和686种LOINC®代码。我们发现医疗中心使用LOINC®编码实验室测试的方式与测试制造商编码相同实验室测试的方式不匹配。在LIVD文件中可用的331项测试中,136项(41%)由医疗中心表示为不匹配的LOINC®代码(卡方45.0,4 df, P < 0.0001)。这五家医疗中心和三家测试制造商在组织、分类和存储LIS目录信息的方式上各不相同。这种变化会影响数据质量和互操作性。结论研究结果表明,提供LIVD映射不足以支持实验室数据的互操作性。国家实施LIVD和进一步努力促进实验室互操作性将需要更全面的努力和持续的评估和质量控制。
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