Technical desiderata for the integration of genomic data into Electronic Health Records.
The era of "Personalized Medicine," guided by individual molecular variation in DNA, RNA, expressed proteins and other forms of high volume molecular data brings new requirements and challenges to the design and implementation of Electronic Health Records (EHRs). In this article we describe the characteristics of biomolecular data that differentiate it from other classes of data commonly found in EHRs, enumerate a set of technical desiderata for its management in healthcare settings, and offer a candidate technical approach to its compact and efficient representation in operational systems.
Division of Biomedical and Health Informatics, Department of Medical Education and Biomedical Informatics, University of Washington, Seattle, WA 98195-7240, USA. dmasys@u.washington.edu
Daniel R
DR
Masys
Gail P
GP
Jarvik
Neil F
NF
Abernethy
Nicholas R
NR
Anderson
George J
GJ
Papanicolaou
Dina N
DN
Paltoo
Mark A
MA
Hoffman
Isaac S
IS
Kohane
Howard P
HP
Levy
D016208:Databases, Factual; D003695:Delivery of Health Care; D057286:Electronic Health Records; D023281:Genomics; D006801:Humans; D057285:Precision Medicine / Q000379:methods*