What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
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DOI：
10.2196/22219
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发表时间：
2021-03-02
影响因子：
7.4
通讯作者：
Cai T
中科院分区：
文献类型：
--
作者：
Kohane IS;Aronow BJ;Avillach P;Beaulieu-Jones BK;Bellazzi R;Bradford RL;Brat GA;Cannataro M;Cimino JJ;García-Barrio N;Gehlenborg N;Ghassemi M;Gutiérrez-Sacristán A;Hanauer DA;Holmes JH;Hong C;Klann JG;Loh NHW;Luo Y;Mandl KD;Daniar M;Moore JH;Murphy SN;Neuraz A;Ngiam KY;Omenn GS;Palmer N;Patel LP;Pedrera-Jiménez M;Sliz P;South AM;Tan ALM;Taylor DM;Taylor BW;Torti C;Vallejos AK;Wagholikar KB;Consortium For Clinical Characterization Of COVID-19 By EHR (4CE);Weber GM;Cai T
与COVID-19相关出版物激增同时，使用真实世界数据（包括从电子健康记录（EHR）中获得的数据）的研究激增。不幸的是，这些备受瞩目的出版物中有几篇被撤回，因为人们担心这些研究的可靠性和质量以及他们声称要分析的EHR数据。这些撤回强调，尽管一小部分EHR信息学专家可以很容易地识别EHR衍生研究的优点和缺陷，但许多医学编辑团队和其他成熟的医学读者缺乏充分批判性评估这些研究的框架。此外，传统的统计分析不能克服的机会和EHR派生研究的局限性的理解的需要。我们从更广泛的信息学文献中提炼出六个关键因素，这些因素对于评估利用EHR数据的研究至关重要：数据完整性，数据收集和处理（例如，转换），数据类型（即，编码，文本），方法对EHR可变性的鲁棒性（在机构内和跨机构，国家和时间），数据和分析代码的透明度，以及多学科方法。这些考虑因素将告知研究人员，临床医生和其他利益相关者在审查EHR数据衍生研究的手稿，赠款和其他输出时建议的最佳实践，从而促进和促进这一快速增长领域的严谨性，质量和可靠性。
Coincident with the tsunami of COVID-19–related publications, there has been a surge of studies using real-world data, including those obtained from the electronic health record (EHR). Unfortunately, several of these high-profile publications were retracted because of concerns regarding the soundness and quality of the studies and the EHR data they purported to analyze. These retractions highlight that although a small community of EHR informatics experts can readily identify strengths and flaws in EHR-derived studies, many medical editorial teams and otherwise sophisticated medical readers lack the framework to fully critically appraise these studies. In addition, conventional statistical analyses cannot overcome the need for an understanding of the opportunities and limitations of EHR-derived studies. We distill here from the broader informatics literature six key considerations that are crucial for appraising studies utilizing EHR data: data completeness, data collection and handling (eg, transformation), data type (ie, codified, textual), robustness of methods against EHR variability (within and across institutions, countries, and time), transparency of data and analytic code, and the multidisciplinary approach. These considerations will inform researchers, clinicians, and other stakeholders as to the recommended best practices in reviewing manuscripts, grants, and other outputs from EHR-data derived studies, and thereby promote and foster rigor, quality, and reliability of this rapidly growing field.
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影响因子：
15.2
作者：
Brat, Gabriel A.;Weber, Griffin M.;Kohane, Isaac S.
通讯作者：
Kohane, Isaac S.
影响因子：
4.5
作者：
Ning, Wenxin;Chan, Stephanie;Yu, Sheng
通讯作者：
Yu, Sheng
DOI：
10.1136/bmj.k3532
发表时间：
2018-11-14
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Langan SM;Schmidt SA;Wing K;Ehrenstein V;Nicholls SG;Filion KB;Klungel O;Petersen I;Sorensen HT;Dixon WG;Guttmann A;Harron K;Hemkens LG;Moher D;Schneeweiss S;Smeeth L;Sturkenboom M;von Elm E;Wang SV;Benchimol EI
通讯作者：
Benchimol EI
影响因子：
4.2
作者：
Uno, Hajime;Ritzwoller, Debra P.;Hassett, Michael J.
通讯作者：
Hassett, Michael J.
影响因子：
4.9
作者：
Ananthakrishnan AN;Cai T;Savova G;Cheng SC;Chen P;Perez RG;Gainer VS;Murphy SN;Szolovits P;Xia Z;Shaw S;Churchill S;Karlson EW;Kohane I;Plenge RM;Liao KP
通讯作者：
Liao KP