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Leveraging EHR data for outcomes and comparative effectiveness research in oncology
Frank J Manion1, Marcelline R Harris, Ayse G Buyuktur
1University of Michigan Comprehensive Cancer Center, 1600 Huron Parkway, SPC 2800, Ann Arbor, MI 48109-2800, USA. fmanion@umich.edu
Current Oncology Reports
|September 6, 2012
Summary
Effective electronic health record (EHR) data sharing for research requires upfront planning and robust infrastructure. Lessons from the National Cancer Institute (NCI) highlight the need for semantic systems and collaborative expertise to overcome current data reuse challenges.
Area of Science:
- Health Informatics
- Biomedical Research
- Data Science
Background:
- Electronic health records (EHRs) are increasingly adopted, with expectations for their use in outcomes and comparative effectiveness research.
- Effective data sharing and reuse from EHRs depend on initial implementation and configuration strategies.
- Current challenges in EHR data sharing necessitate strategic planning at both local and national levels.
Purpose of the Study:
- To highlight the importance of proactive planning for EHR data sharing and reuse in research.
- To identify key components for successful EHR data integration and transmission.
- To draw parallels with existing successful research data infrastructures.
Main Methods:
- Review of current practices and challenges in EHR data sharing.
- Analysis of the National Cancer Institute's (NCI) data transmission and semantic infrastructure for research.
- Identification of best practices for planning data sharing and integration.
Main Results:
- Successful EHR data sharing requires deliberate planning from the outset, integrating data sharing goals into system design.
- Robust semantic infrastructure and network-based systems are crucial for effective data transmission and reuse.
- Collaboration between domain experts and informatics professionals is essential for developing and implementing these systems.
Conclusions:
- Proactive, strategic planning is essential for enabling EHR data sharing for research.
- Leveraging semantically rich, network-based systems, exemplified by NCI's infrastructure, is key to overcoming data sharing barriers.
- Future efforts must focus on building and implementing similar infrastructures to facilitate widespread EHR data reuse for research purposes.
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