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Author Interview: Tejas Desai, MD, FNKF
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Publication: Predicting the Number of US Medical Graduates Entering Adult Nephrology Fellowships Using Search Term Analysis
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What are the main findings of the study? |
This study indicates that one can use the frequency of search terms used on Google to determine how interested individuals are in nephrology training. |
Were any of the findings unexpected? |
While we knew that search term frequency analysis has been used to accurately predict future events in non-medical disciplines, we were surprised that such an analysis could predict, with high accuracy, future events in the medical education discipline, like nephrology fellowship training. |
What should clinicians and patients take away from this study? |
The most important idea to take away is that US medical graduates will continue to pursue subspecialty training in fields other than nephrology. |
What recommendations do you have for future studies as a result of your study? |
The future will now rest in the hands of nephrology educators who develop unorthodox teaching mechanisms and then measure their effectiveness at increasing the percentage of US medical graduates entering a nephrology fellowship by using our model. |
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