Related Experiment Video
Updated: Feb 6, 2026
05:56
Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
Published on: November 12, 2020
3.3K
Resident Case Volume Correlates with Clinical Performance: Finding the Sweet Spot
Vikas Agarwal1, Gregory M Bump2, Matthew T Heller1
1Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St., Suite 200 East Wing, Pittsburgh, PA.
Academic Radiology
|August 9, 2018
Summary
Radiology resident performance improves with interpreting approximately 16,000 studies, but higher volumes correlate with worse clinical outcomes. Finding the optimal number of interpreted studies is key for maximizing trainee knowledge without causing burnout.
Area of Science:
- Medical Education
- Radiology Residency Training
- Clinical Performance Metrics
Background:
- The correlation between the volume of interpreted studies and clinical performance in radiology residents is not well-defined.
- Understanding this relationship is crucial for optimizing resident training and patient care quality.
Purpose of the Study:
- To investigate the association between the total number of studies interpreted during radiology residency and objective measures of clinical performance.
- To identify if there is an optimal volume of interpreted studies that maximizes resident performance.
Main Methods:
- Retrospective cohort study of 37 radiology residents from 2015-2017.
- Tracked total interpreted studies, major discordance rates, Accreditation Council for Graduate Medical Education milestones, in-training exam scores, and American Board of Radiology core exam scores.
- Utilized Pearson correlation coefficients and polynomial regression analysis to assess correlations.
Main Results:
- Residents interpreted a mean of 12,709 studies with a mean major discordance rate of 1.1%.
- A nonlinear correlation was observed between study volume and performance.
- Performance improved up to approximately 16,000 interpreted studies, after which performance declined.
Conclusions:
- The total number of studies interpreted during radiology residency training correlates with resident performance.
- An optimal "sweet spot" exists for study volume, balancing clinical exposure and trainee well-being.
- Residency programs should aim to optimize workload to maximize learning without overburdening residents.
More Related Videos
Related Concept Videos
01:24Finding Volume Using Cross-Sectional Area
79
For solids whose cross-sectional areas vary in a predictable way, volume can be determined by integrating these areas along an axis perpendicular to the slices. This approach is particularly useful for polyhedral solids, where classical geometric formulas may not be immediately applicable. A tetrahedron provides a clear example of how cross-sectional integration can be applied to a three-dimensional object with continuously changing geometry.Consider a tetrahedron with height h and a base that...
79
01:20Drug Product Performance: In Vitro–In Vivo Correlation
281
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
281
01:27Correlation and Causation
42.8K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.8K
02:20Correlations
36.3K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.3K
01:09Correlation
15.2K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K
01:03Finding the Center of Gravity
4.4K
The center of gravity of a body is an imaginary point where the body's total weight is assumed to be concentrated, and the body is perfectly balanced. The center of the mass of a body is a point at which the whole of the mass of the body appears to be concentrated. If the acceleration due to gravity, g, has the same value at all points on a body, its center of gravity is identical to its center of mass. The center of gravity of homogeneous bodies such as a sphere, cube, or rectangular plate...
4.4K