Technical desiderata for the integration of genomic data with clinical decision support

被引:21
|
作者
Welch, Brandon M. [1 ,2 ]
Eilbeck, Karen [1 ,3 ]
Del Fiol, Guilherme [1 ]
Meyer, Laurence J. [4 ,5 ,6 ]
Kawamoto, Kensaku [1 ]
机构
[1] Univ Utah, Dept Biomed Informat, Salt Lake City, UT USA
[2] Univ Utah, Program Personalized Hlth Care, Salt Lake City, UT USA
[3] Univ Utah, Dept Human Genet, Salt Lake City, UT USA
[4] Univ Utah, Dept Dermatol, Salt Lake City, UT USA
[5] Univ Utah, Dept Internal Med, Salt Lake City, UT 84112 USA
[6] Univ Utah, Dept Pediat, Salt Lake City, UT 84112 USA
关键词
Clinical decision support systems; Medical genetics; Genomics; Electronic health records; Health information technology; Personalized medicine; MEDICINE;
D O I
10.1016/j.jbi.2014.05.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The ease with which whole genome sequence (WGS) information can be obtained is rapidly approaching the point where it can become useful for routine clinical care. However, significant barriers will inhibit widespread adoption unless clinicians are able to effectively integrate this information into patient care and decision-making. Electronic health records (EHR) and clinical decision support (CDS) systems may play a critical role in this integration. A previously published technical desiderata focused primarily on the integration of genomic data into the EHR. This manuscript extends the previous desiderata by specifically addressing needs related to the integration of genomic information with CDS. The objective of this study is to develop and validate a guiding set of technical desiderata for supporting the clinical use of WGS through CDS. A panel of domain experts in genomics and CDS developed a proposed set of seven additional requirements. These desiderata were reviewed by 63 experts in genomics and CDS through an online survey and refined based on the experts' comments. These additional desiderata provide important guiding principles for the technical development of CDS capabilities for the clinical use of WGS information. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:3 / 7
页数:5
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