An Interdisciplinary Approach to Reducing Errors in Extracted Electronic Health Record Data for Research.

Q3 Medicine Perspectives in health information management / AHIMA, American Health Information Management Association Pub Date : 2021-03-15 eCollection Date: 2021-01-01

Neelkamal Soares, Sorabh Singhal, Casey Kloosterman, Teresa Bailey

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Abstract

Erroneous electronic health record (EHR) data capture is a barrier to preserving data integrity. We assessed the impact of an interdisciplinary process in minimizing EHR data loss from prescription orders. We implemented a three-step approach to reduce data loss due to missing medication doses: Step 1-A data analyst updated the request code to optimize data capture; Step 2-A pharmacist and physician identified variations in EHR prescription workflows; and Step 3-The clinician team determined daily doses for patients with multiple prescriptions in the same encounter. The initial report contained 1421 prescriptions, with 377 (26.5 percent) missing dosages. Missing dosages reduced to 361 (26.3 percent) prescriptions following Step 1, and twenty-three (1.7 percent) records after Step 2. After Step 3, 1210 prescriptions remained, including 16 (1.3 percent) prescriptions missing doses. Prescription data is susceptible to missing values due to multiple data capture workflows. Our approach minimized data loss, improving its validity in retrospective research.

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减少用于研究的电子健康记录数据错误的跨学科方法。

错误的电子健康记录（EHR）数据采集是维护数据完整性的一个障碍。我们评估了跨学科流程对尽量减少处方单造成的电子病历数据丢失的影响。我们采用了一种三步法来减少因药物剂量缺失而造成的数据丢失：第 1 步：数据分析师更新请求代码以优化数据采集；第 2 步：药剂师和医生确定电子病历处方工作流程中的变化；第 3 步：临床医生团队确定同一病例中有多个处方的患者的每日剂量。初始报告包含 1421 份处方，其中 377 份（26.5%）缺少剂量。步骤 1 后，缺失剂量的处方减少到 361 份（26.3%），步骤 2 后，缺失剂量的记录减少到 23 份（1.7%）。步骤 3 后，仍有 1210 张处方，其中包括 16 张（1.3%）缺失剂量的处方。由于多重数据采集工作流程，处方数据很容易出现缺失值。我们的方法最大限度地减少了数据丢失，提高了回顾性研究的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Perspectives in health information management / AHIMA, American Health Information Management Association Medicine-Medicine (all)

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： Perspectives in Health Information Management is a scholarly, peer-reviewed research journal whose mission is to advance health information management practice and to encourage interdisciplinary collaboration between HIM professionals and others in disciplines supporting the advancement of the management of health information. The primary focus is to promote the linkage of practice, education, and research and to provide contributions to the understanding or improvement of health information management processes and outcomes.