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Re-engineering opportunities in clinical research using workflow analysis in community practice settings.
Sharib A Khan1, Rita Kukafka, J Thomas Bigger
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
Summary
This study identifies inefficiencies in clinical research workflows, such as poor data interoperability and fragmented processes. Opportunities for informatics-based re-engineering are highlighted to improve efficiency in clinical research activities.
Area of Science:
- Health Informatics
- Clinical Research Management
- Workflow Analysis
Background:
- Clinical research workflow analysis is crucial for identifying operational bottlenecks.
- The National Institutes of Health (NIH) Roadmap initiative supports studies on clinical research in community practices.
Purpose of the Study:
- To examine frequently performed clinical research activities.
- To identify opportunities for informatics-based re-engineering of clinical research workflows.
Main Methods:
- Description of three common clinical research work activities.
- Identification of actors, tools, and challenges within these activities.
- Analysis of workflow inefficiencies.
Main Results:
- Identified inefficiencies include lack of supporting tools, data redundancy, poor system interoperability, and fragmented workflows.
- Opportunities for re-engineering were found at both activity (micro) and organizational (macro) levels.
Conclusions:
- Informatics-based re-engineering can address critical inefficiencies in clinical research.
- Optimizing workflow through informatics can enhance the effectiveness of clinical research operations.
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