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The "Honest Broker" method of integrating interdisciplinary research data
Andrew D Boyd1, Dale A Hunscher, Adam J Kramer
1Department of Psychiatry, University of Michigan Medical Center, Ann Arbor, MI, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
Summary
Researchers are developing a secure data-linking method to study depression and cardiovascular disease co-morbidity. This approach integrates data from separate clinical systems at the University of Michigan Medical School.
Area of Science:
- Clinical informatics
- Biomedical research
- Data integration
Background:
- Multiple disparate clinical informatics systems exist within the University of Michigan Medical School.
- There is a need to link data from these separate systems for comprehensive research.
Purpose of the Study:
- To develop and implement a secure "Honest Broker" method for data linkage.
- To facilitate research on the co-morbidity of depression and cardiovascular disease.
Main Methods:
- Creating a secure data-linking protocol (Honest Broker method).
- Integrating data from various clinical informatics systems.
- Utilizing the Michigan Clinical Research Collaboratory (MCRC) infrastructure.
Main Results:
- The Honest Broker method is under development for secure data integration.
- The Michigan Clinical Research Collaboratory (MCRC) supports this initiative.
Conclusions:
- The Honest Broker method is a key strategy for enabling multi-system clinical research.
- This approach will advance the study of complex co-morbidities like depression and cardiovascular disease.
