Difference between revisions of "Clinical Research Informatics and Electronic Health Record Data"
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=== Methods === | === Methods === | ||
After a review of literature from the fields of informatics and clinical research, important themes were isolated related to the use of EHR for research. They included: the heterogeneity and data quality of [[EMR|EHR]], integrating data from various organizations, identifying research cohorts based on explicit clinical profiles, and the role of informatics in a learning health system. A set of considerations also emerged from these themes as a tool for coping with the challenges in the present and guiding improvements in the future. | After a review of literature from the fields of informatics and clinical research, important themes were isolated related to the use of EHR for research. They included: the heterogeneity and data quality of [[EMR|EHR]], integrating data from various organizations, identifying research cohorts based on explicit clinical profiles, and the role of informatics in a learning health system. A set of considerations also emerged from these themes as a tool for coping with the challenges in the present and guiding improvements in the future. | ||
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| + | ===Results=== | ||
| + | ====Major challenges for the use of EHR-derived data for research==== | ||
| + | #''The lack of standard methods for ensuring that data quality, completeness, and provenance '' | ||
| + | #''Need appropriate methods for data integration from heterogeneous sources'' | ||
| + | #''Need guidelines for using these data'' | ||
| + | #''Need governance to better understand and control data quality'' | ||
| + | #''Need nationwide standards for representing and using clinical data'' | ||
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=== Conclusion === | === Conclusion === | ||
Revision as of 05:32, 23 October 2015
Contents
First Review
Introduction/Objectives
The goal of this paper is to discuss the effects of the availability of electronic health record (EHR) data for the purpose of Clinical Research Informatics (CRI). This paper points out that the use of EHR for research and discovery is still a growing area within CRI, which combines both research and biomedical informatics. [1]
Methods
After a review of literature from the fields of informatics and clinical research, important themes were isolated related to the use of EHR for research. They included: the heterogeneity and data quality of EHR, integrating data from various organizations, identifying research cohorts based on explicit clinical profiles, and the role of informatics in a learning health system. A set of considerations also emerged from these themes as a tool for coping with the challenges in the present and guiding improvements in the future.
Results
Major challenges for the use of EHR-derived data for research
- The lack of standard methods for ensuring that data quality, completeness, and provenance
- Need appropriate methods for data integration from heterogeneous sources
- Need guidelines for using these data
- Need governance to better understand and control data quality
- Need nationwide standards for representing and using clinical data
Conclusion
Awareness of the process of collecting clinical data will be essential in the use of this data for clinical research and patient care, which will require a multi-disciplinary team representing clinical research, informatics, and health care operations. A set of principles are provided, related to research design, to cope with the issues of leveraging EHR data for various research. When using EHR data points, it is essential for one to attempt to understand the workflow that created them, especially if there is no strong program for data governance.
My Comments
The use of EHR data for clinical research is an essential part of the healthcare system that aids in quality improvement and treatment goals. This paper surveys the growing availability of EHR data for clinical research purposes and makes recommendations on how to deal with the challenges that arise with its use.
Second Review
Enter review here
Related Articles
References
- ↑ Richesson, R. L., Horvath, M. M., & Rusincovitch, S. A. (2014). Clinical research informatics and electronic health record data. Yearbook of medical informatics, 9(1), 215.
