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比较传统方法和 FHIR® 方法在两个临床试验中对电子健康记录数据提取的准确性。

Comparing the Accuracy of Traditional vs. FHIR®-Based Extraction of Electronic Health Record Data for Two Clinical Trials.

机构信息

University of Texas Health Science Center at San Antonio, TX, USA.

Mays Cancer Center, University of Texas Health Science Center, San Antonio, TX, USA.

出版信息

Stud Health Technol Inform. 2024 Aug 22;316:1368-1372. doi: 10.3233/SHTI240666.

Abstract

While pilots and production use of software based on the Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard are increasing in clinical research, we lack consistent evaluative data on important outcomes, such as data accuracy. We compared the accuracy of EHR collected, FHIR® extracted data (called EHR-to-eCRF data collection) to traditional clinical trial data collection. The accuracy rate for EHR-collected data was significantly higher than for the same data collected through traditional methods. It is possible that EHR-collected (FHIR® extracted) data can substantially improve data quality in clinical studies while decreasing the burden on study sites.

摘要

虽然基于健康水平七(HL7®)快速医疗互操作性资源(FHIR®)标准的软件在临床研究中的飞行员和生产使用正在增加,但我们缺乏有关重要结果(例如数据准确性)的一致评估数据。我们比较了电子病历(EHR)收集、FHIR®提取数据(称为 EHR 到电子病例报告表数据收集)与传统临床试验数据收集的准确性。EHR 收集的数据的准确率明显高于通过传统方法收集的相同数据。EHR 收集(FHIR®提取)的数据可能会极大地提高临床研究中的数据质量,同时减轻研究点的负担。

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