A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information.

IF 4.6 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of the American Medical Informatics Association Pub Date : 2025-06-01 DOI:10.1093/jamia/ocaf061

Mehdi Nourelahi, Eugene M Sadhu, Malarkodi J Samayamuthu, Shyam Visweswaran

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引用次数: 0

Abstract

Objectives: The primary objective was to compile a comprehensive list of Logical Observation Identifiers Names and Codes (LOINC) terms that may be associated with patient, healthcare provider, and healthcare facility identifying information.

Materials and methods: We developed a 2-step procedure for identifying LOINC terms, which consists of a keyword search of Long Common Names and filtering on selected property values, followed by expert physician review to confirm and categorize the terms.

Results: The final list comprises 1309 LOINC terms potentially associated with identifying information of patients, providers, and facilities. This list is publicly available on GitHub.

Discussion: Compared with electronic health record data coded with other terminologies, LOINC-coded data present unique challenges for deidentification, and a resource of LOINC terms that may be associated with identifying information will be helpful for this purpose.

Conclusion: This resource is valuable for deidentifying LOINC-coded data, ensuring compliance with the Health Insurance Portability and Accountability Act (HIPAA), and preserving the privacy of patients, providers, and facilities.

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逻辑观察标识符的资源，可能与标识信息相关的名称和代码术语。

目的：主要目的是编制一个可能与患者、医疗保健提供者和医疗保健机构标识信息相关的逻辑观察标识符名称和代码（LOINC）术语的综合列表。材料和方法：我们开发了一个用于识别LOINC术语的两步程序，其中包括长通用名称的关键字搜索和对选定属性值的过滤，然后由专家医师审查以确认和分类术语。结果：最终列表包含1309个LOINC术语，这些术语可能与患者、提供者和设施的识别信息相关。此列表可在GitHub上公开获取。讨论：与用其他术语编码的电子健康记录数据相比，LOINC编码的数据对去识别提出了独特的挑战，而与识别信息相关的LOINC术语资源将有助于实现这一目的。结论：该资源对于去识别loc编码数据、确保符合《健康保险流通与责任法案》（HIPAA）以及保护患者、提供者和机构的隐私很有价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Medical Informatics Association 医学-计算机：跨学科应用

CiteScore

14.50

自引率

7.80%

发文量

230

审稿时长

3-8 weeks

期刊介绍： JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.