Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Trends Mol Med. 2023 Sep;29(9):765-776. doi: 10.1016/j.molmed.2023.06.006. Epub 2023 Jul 18.
Electronic health records (EHRs) have become increasingly relied upon as a source for biomedical research. One important research application of EHRs is the identification of biomarkers associated with specific patient states, especially within complex conditions. However, using EHRs for biomarker identification can be challenging because the EHR was not designed with research as the primary focus. Despite this challenge, the EHR offers huge potential for biomarker discovery research to transform our understanding of disease etiology and treatment and generate biological insights informing precision medicine initiatives. This review paper provides an in-depth analysis of how EHR data is currently used for phenotyping and identifying molecular biomarkers, current challenges and limitations, and strategies we can take to mitigate challenges going forward.
电子健康记录 (EHR) 已越来越多地被用作生物医学研究的数据源。EHR 的一个重要研究应用是识别与特定患者状态相关的生物标志物,特别是在复杂情况下。然而,由于 EHR 的设计并非以研究为主要重点,因此使用 EHR 进行生物标志物识别可能具有挑战性。尽管存在这一挑战,但 EHR 为生物标志物发现研究提供了巨大的潜力,可以改变我们对疾病病因和治疗的理解,并为精准医疗计划提供生物学见解。本文综述深入分析了当前如何使用 EHR 数据进行表型分析和识别分子生物标志物、当前的挑战和局限性,以及我们可以采取的策略来缓解未来的挑战。