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

doi:10.1016/j.jbi.2011.12.005

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

School of Medicine

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	419-422
Number of pages	4
Journal	Journal of Biomedical Informatics
Volume	45
Issue number	3
DOIs	https://doi.org/10.1016/j.jbi.2011.12.005
State	Published - Jun 2012

Keywords

Data compression
Electronic Health Records
Genomics
Knowledge representation

ASJC Scopus subject areas

Health Informatics
Computer Science Applications

Access to Document

10.1016/j.jbi.2011.12.005

Cite this

@article{fdd897859b9f40dab9a04952707c7b26,

title = "Technical desiderata for the integration of genomic data into Electronic Health Records",

abstract = "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.",

keywords = "Data compression, Electronic Health Records, Genomics, Knowledge representation",

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

note = "Funding Information: Supported in part by NIH Grant 5RC2GM092618-02 (D. Masys, P.I.).",

year = "2012",

month = jun,

doi = "10.1016/j.jbi.2011.12.005",

language = "English (US)",

volume = "45",

pages = "419--422",

journal = "Journal of Biomedical Informatics",

issn = "1532-0464",

publisher = "Academic Press Inc.",

number = "3",

}

TY - JOUR

T1 - Technical desiderata for the integration of genomic data into Electronic Health Records

AU - Masys, Daniel R.

AU - Jarvik, Gail P.

AU - Abernethy, Neil F.

AU - Anderson, Nicholas R.

AU - Papanicolaou, George J.

AU - Paltoo, Dina N.

AU - Hoffman, Mark A.

AU - Kohane, Isaac S.

AU - Levy, Howard P.

N1 - Funding Information: Supported in part by NIH Grant 5RC2GM092618-02 (D. Masys, P.I.).

PY - 2012/6

Y1 - 2012/6

N2 - 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.

AB - 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.

KW - Data compression

KW - Electronic Health Records

KW - Genomics

KW - Knowledge representation

UR - http://www.scopus.com/inward/record.url?scp=84861868693&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861868693&partnerID=8YFLogxK

U2 - 10.1016/j.jbi.2011.12.005

DO - 10.1016/j.jbi.2011.12.005

M3 - Article

C2 - 22223081

AN - SCOPUS:84861868693

SN - 1532-0464

VL - 45

SP - 419

EP - 422

JO - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

IS - 3

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this