两种电子健康记录数据提取方法在退伍军人老龄化队列研究索引中的实验室检验比较。

IF 3.4 Q2 HEALTH CARE SCIENCES & SERVICES
JAMIA Open Pub Date : 2025-07-28 eCollection Date: 2025-08-01 DOI:10.1093/jamiaopen/ooaf074
Christine Ramsey-Hardy, Melissa Skanderson, Janet P Tate, Amy C Justice, Vincent C Marconi, Charles Alcorn, Ronald G Hauser, Amy Anderson-Mellies, Kathleen A McGinnis
{"title":"两种电子健康记录数据提取方法在退伍军人老龄化队列研究索引中的实验室检验比较。","authors":"Christine Ramsey-Hardy, Melissa Skanderson, Janet P Tate, Amy C Justice, Vincent C Marconi, Charles Alcorn, Ronald G Hauser, Amy Anderson-Mellies, Kathleen A McGinnis","doi":"10.1093/jamiaopen/ooaf074","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To compare Observational Medical Outcomes Partnership (OMOP) Logical Observation Identifiers Names and Codes (LOINC) and Veterans Aging Cohort Study (VACS) methods for extracting laboratory chemistry data from Veterans Health Administration (VA) electronic health records (EHR).</p><p><strong>Materials and methods: </strong>Laboratory chemistry test results for 16 laboratory tests commonly assess in Veterans in VACS HIV (<i>N</i> = 143 830) followed in the VA 2015-2019 were extracted from the EHR and compared using 2 different data extraction approaches.</p><p><strong>Results: </strong>The LOINC approach captured laboratory results from all 130 VA stations for all 16 labs. The VACS approach captured laboratory results from 128 to130 stations. Both approaches yielded laboratory results for a patient on a given date for 97% or more of the observations for 10 of the tests, 94%-97% for 5 of the tests, and 89% for 1 test. The percentage of exact matches on the value of the test result exceeded 99% for 10 of the laboratory tests and 92% for all other laboratory tests.</p><p><strong>Discussion: </strong>Both approaches resulted in extraction of similar amounts of data in terms of individual patients, VA stations and total observations for all 16 tests. Both approaches yielded high agreement on test results in terms of identical values and correlation of test results for all tests.</p><p><strong>Conclusion: </strong>The high level of agreement between VACS and LOINC approaches in this study demonstrate the favorable use of the LOINC approach for extracting laboratory results for most tests due to the ease and efficiency of this approach without compromising validity.</p>","PeriodicalId":36278,"journal":{"name":"JAMIA Open","volume":"8 4","pages":"ooaf074"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12303373/pdf/","citationCount":"0","resultStr":"{\"title\":\"Comparison of 2 electronic health record data extraction methods for laboratory tests used in the Veterans Aging Cohort Study Index.\",\"authors\":\"Christine Ramsey-Hardy, Melissa Skanderson, Janet P Tate, Amy C Justice, Vincent C Marconi, Charles Alcorn, Ronald G Hauser, Amy Anderson-Mellies, Kathleen A McGinnis\",\"doi\":\"10.1093/jamiaopen/ooaf074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To compare Observational Medical Outcomes Partnership (OMOP) Logical Observation Identifiers Names and Codes (LOINC) and Veterans Aging Cohort Study (VACS) methods for extracting laboratory chemistry data from Veterans Health Administration (VA) electronic health records (EHR).</p><p><strong>Materials and methods: </strong>Laboratory chemistry test results for 16 laboratory tests commonly assess in Veterans in VACS HIV (<i>N</i> = 143 830) followed in the VA 2015-2019 were extracted from the EHR and compared using 2 different data extraction approaches.</p><p><strong>Results: </strong>The LOINC approach captured laboratory results from all 130 VA stations for all 16 labs. The VACS approach captured laboratory results from 128 to130 stations. Both approaches yielded laboratory results for a patient on a given date for 97% or more of the observations for 10 of the tests, 94%-97% for 5 of the tests, and 89% for 1 test. The percentage of exact matches on the value of the test result exceeded 99% for 10 of the laboratory tests and 92% for all other laboratory tests.</p><p><strong>Discussion: </strong>Both approaches resulted in extraction of similar amounts of data in terms of individual patients, VA stations and total observations for all 16 tests. Both approaches yielded high agreement on test results in terms of identical values and correlation of test results for all tests.</p><p><strong>Conclusion: </strong>The high level of agreement between VACS and LOINC approaches in this study demonstrate the favorable use of the LOINC approach for extracting laboratory results for most tests due to the ease and efficiency of this approach without compromising validity.</p>\",\"PeriodicalId\":36278,\"journal\":{\"name\":\"JAMIA Open\",\"volume\":\"8 4\",\"pages\":\"ooaf074\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12303373/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMIA Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jamiaopen/ooaf074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMIA Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jamiaopen/ooaf074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

目的:比较观察性医疗结局伙伴关系(OMOP)、逻辑观察标识名称和代码(LOINC)和退伍军人老龄化队列研究(VACS)两种方法对退伍军人健康管理局(VA)电子健康档案(EHR)实验室化学数据的提取效果。材料与方法:从电子病历中提取2015-2019年退伍军人VACS HIV感染者常用的16项实验室检测结果(N = 143830),并采用两种不同的数据提取方法进行比较。结果:LOINC方法捕获了所有16个实验室的所有130个VA站的实验室结果。VACS方法收集了128至130个站点的实验室结果。两种方法在给定日期为患者提供了97%或更多的实验室结果,其中10项测试为94%-97%,5项测试为94%-97%,1项测试为89%。在10项实验室测试中,测试结果值的精确匹配百分比超过99%,在所有其他实验室测试中,该百分比超过92%。讨论:两种方法在患者个体、VA站和所有16项试验的总观察值方面提取的数据量相似。就所有测试的相同值和测试结果的相关性而言,这两种方法对测试结果产生了高度一致。结论:本研究中VACS和LOINC方法之间的高度一致性表明,LOINC方法对于提取大多数测试的实验室结果是有利的,因为这种方法易于使用,效率高,而且不影响有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of 2 electronic health record data extraction methods for laboratory tests used in the Veterans Aging Cohort Study Index.

Objective: To compare Observational Medical Outcomes Partnership (OMOP) Logical Observation Identifiers Names and Codes (LOINC) and Veterans Aging Cohort Study (VACS) methods for extracting laboratory chemistry data from Veterans Health Administration (VA) electronic health records (EHR).

Materials and methods: Laboratory chemistry test results for 16 laboratory tests commonly assess in Veterans in VACS HIV (N = 143 830) followed in the VA 2015-2019 were extracted from the EHR and compared using 2 different data extraction approaches.

Results: The LOINC approach captured laboratory results from all 130 VA stations for all 16 labs. The VACS approach captured laboratory results from 128 to130 stations. Both approaches yielded laboratory results for a patient on a given date for 97% or more of the observations for 10 of the tests, 94%-97% for 5 of the tests, and 89% for 1 test. The percentage of exact matches on the value of the test result exceeded 99% for 10 of the laboratory tests and 92% for all other laboratory tests.

Discussion: Both approaches resulted in extraction of similar amounts of data in terms of individual patients, VA stations and total observations for all 16 tests. Both approaches yielded high agreement on test results in terms of identical values and correlation of test results for all tests.

Conclusion: The high level of agreement between VACS and LOINC approaches in this study demonstrate the favorable use of the LOINC approach for extracting laboratory results for most tests due to the ease and efficiency of this approach without compromising validity.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信