Technical desiderata for the integration of genomic data into Electronic Health Records

Daniel R. Masys, Gail P. Jarvik, Neil F. Abernethy, Nicholas R. Anderson, George J. Papanicolaou, Dina N. Paltoo, Mark A. Hoffman, Isaac S. Kohane, Howard P. Levy

Research output: Contribution to journalArticlepeer-review

66 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)419-422
Number of pages4
JournalJournal of Biomedical Informatics
Issue number3
StatePublished - Jun 2012


  • Data compression
  • Electronic Health Records
  • Genomics
  • Knowledge representation

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications


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