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Related Experiment Videos

An integrated approach to evaluate faculty members' research performance.

Rama Iyengar¹, Yanping Wang, Jennifer Chow

¹Office of the Dean, Mount Sinai School of Medicine, New York, New York 10029, USA. rama.iyengar@mssm.edu

Academic Medicine : Journal of the Association of American Medical Colleges

|October 28, 2009

Summary

Assessing medical school faculty research performance requires comparing publication impact and research density. A dual-metric model integrating these factors aids in tailored faculty development strategies.

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Area of Science:

Medical Education
Research Management
Bibliometrics

Background:

Medical schools require effective methods to evaluate faculty research performance for management decisions.
Current metrics like extramural funding and publication impact factors vary across institutions and disciplines.
Mount Sinai School of Medicine (MSSM) primarily uses grant funding to assess research productivity.

Purpose of the Study:

To develop and evaluate a dual-metric model for assessing medical school faculty research performance.
To compare the correlation between publication impact factors and research density (grant funding per square foot).
To determine if combining these metrics offers unique insights for faculty management.

Main Methods:

Collected faculty performance data (publication impact, grant funding, research space) for 2006 and 2007.
Calculated research density for each faculty member.
Developed a four-quadrant model plotting publication impact against research density.

Main Results:

A weak correlation was found between publication impact and research density in 2006.
No significant correlation was observed between these metrics in 2007.
The dual-metric model facilitated the identification of faculty performance levels.

Conclusions:

A combined approach using publication impact and research density provides a more comprehensive assessment of faculty research performance.
This integrated model can inform tailored mentoring and development strategies for faculty.
The dual-metric model shows promise for managing the research enterprise in medical schools.