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Clinical research using an information system: the multicenter perioperative outcomes group
1Department of Anesthesiology, Center for Perioperative Outcomes Research, University of Michigan Medical School, Ann Arbor, MI 48109, USA. sachinkh@med.umich.edu
Anesthesiology Clinics
|August 30, 2011
Summary
Electronic medical record (EMR) data offers valuable insights for clinical research, but presents unique challenges. Researchers must navigate regulatory, privacy, and data quality issues when using EMRs for observational studies.
Area of Science:
- Clinical research methodology
- Health informatics
- Observational studies
Background:
- Electronic medical records (EMRs) are increasingly utilized for clinical research.
- Retrospective EMR data supports the study of complex comorbidities, procedures, and outcomes.
- EMR data offers a potentially resource-efficient alternative to manual chart review.
Purpose of the Study:
- To discuss the application of electronic medical record (EMR) data in observational research.
- To highlight the unique challenges associated with using EMR data for clinical studies.
- To provide insights into the regulatory, privacy, data quality, and technical considerations for EMR-based research.
Main Methods:
- The article reviews the current landscape of using EMR data for clinical research.
- It focuses on observational study designs leveraging retrospective EMR information.
- Discussion encompasses practical issues encountered in EMR data acquisition and utilization.
Main Results:
- EMR data presents significant opportunities for advancing clinical research.
- Specific challenges in regulatory compliance, data privacy, and data quality must be addressed.
- Methodological techniques for EMR data analysis require careful consideration.
Conclusions:
- EMR data is a powerful, albeit complex, resource for observational clinical research.
- Successful implementation requires addressing unique technical and ethical considerations.
- Further research and standardized practices are needed to optimize EMR data utilization.
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