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Leveraging EHR data for outcomes and comparative effectiveness research in oncology.

TitleLeveraging EHR data for outcomes and comparative effectiveness research in oncology.
Publication TypeJournal Article
Year of Publication2012
AuthorsManion, FJ, Harris, MR, Buyuktur, AG, Clark, PM, An, LC, Hanauer, DA
JournalCurr Oncol Rep
Volume14
Issue6
Pagination494-501
Date Published2012 Dec
ISSN1534-6269
KeywordsElectronic Health Records, Humans, Information Dissemination, Medical Informatics, Medical Records Systems, Computerized, Semantics
Abstract

Along with the increasing adoption of electronic health records (EHRs) are expectations that data collected within EHRs will be readily available for outcomes and comparative effectiveness research. Yet the ability to effectively share and reuse data depends on implementing and configuring EHRs with these goals in mind from the beginning. Data sharing and integration must be planned both locally as well as nationally. The rich data transmission and semantic infrastructure developed by the National Cancer Institute (NCI) for research provides an excellent example of moving beyond paper-based paradigms and exploiting the power of semantically robust, network-based systems, and engaging both domain and informatics expertise. Similar efforts are required to address current challenges in sharing EHR data.

DOI10.1007/s11912-012-0272-6
Alternate JournalCurr Oncol Rep
PubMed ID22948276
PubMed Central IDPMC3490017
Grant List5 P30 CA46592 / CA / NCI NIH HHS / United States
P30 CA046592 / CA / NCI NIH HHS / United States
TL1 RR024988 / RR / NCRR NIH HHS / United States
UL1RR024986 / RR / NCRR NIH HHS / United States
People: 
Frank Manion
David Hanauer
University of Michigan Rogel Cancer Center at North Campus Research Complex
1600 Huron Parkway, Bldg 100, Rm 1004 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 
Ph. (734) 764-8848 Fax. (734) 615-0507

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592. The content is solely the responsibility
of the authors and does not necessarily represent the official views of the
National Institutes of Health.

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592 by the use of the following Cancer Center
Shared Resource(s): Biostatistics, Analytics & Bioinformatics; Flow Cytometry;
Transgenic Animal Models; Tissue and Molecular Pathology; Structure & Drug
Screening; Cell & Tissue Imaging; Experimental Irradiation; Preclinical
Imaging & Computational Analysis; Health Communications; Immune Monitoring;
Pharmacokinetics)

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