Leveraging EHR Data for Outcomes and Comparative Effectiveness Research in Oncology
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INNOVATIONS IN INFORMATION TECHNOLOGY IN CANCER MEDICINE (RB JONES, SECTION EDITOR)
Leveraging EHR Data for Outcomes and Comparative Effectiveness Research in Oncology Frank J. Manion & Marcelline R. Harris & Ayse G. Buyuktur & Patricia M. Clark & Lawrence C. An & David A. Hanauer
Published online: 5 September 2012 # Springer Science+Business Media, LLC 2012
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.
Introduction
Keywords Data sharing . Comparative effectiveness research . Outcomes research . Clinical informatics . Common data elements . Semantic interoperability . Electronic health records
Data sharing is widely recognized as essential to advancing health and the delivery of health care services. The data in electronic health records (EHRs) are of particular interest, because these data can enable new insights into naturally occurring variations in disease processes, response to treatments, and patient care delivery. Expectations are that investments in health information technology, particularly EHRs, will expand the potential to collect and subsequently share data. Recent Institute of Medicine (IOM) reports highlight the tremendous opportunity to improve health outcomes when the explosion of data—from the molecular level to patient and population levels—can be shared [1, 2]. Within the oncology community, the National Cancer Institute (NCI) has long focused on infrastructure components required to enable data sharing across networked environments [3]. The federal government’s recognition of the need to stimulate the adoption of EHRs is evident in the American Recovery and Reinvestment Act (ARRA), specifically the
F. J. Manion (*) University of Michigan Comprehensive Cancer Center, 1600 Huron Parkway, SPC 2800, Ann Arbor, MI 48109-2800, USA e-mail: [email protected]
P. M. Clark University of Michigan Comprehensive Cancer Center, 300 North Ingalls, RM 8C29, Ann Arbor, MI 48109-5473, USA e-mail: [email protected]
M. R. Harris University of Michigan School of Nursing, 400 North Ingalls, RM 4160, Ann Arbor, MI 48109-5482, USA e-mail: [email protected]
L. C. An University of Michigan Comprehensive Cancer Center, 300 N Ingalls, RM 5D04, Ann Arbor, MI 48109-0471, USA e-mail: [email protected]
A. G. Buyuktur University of Michigan School of Information
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