28 Data Analytical methods to inform the Process of the American Board Family Medicine Certification

Lars Peterson Co-Author
The American Board of Family Medicine
 
Sarah Fleischer First Author
 
Sarah Fleischer Presenting Author
 
Tuesday, Aug 8: 10:30 AM - 12:20 PM
3729 
Contributed Posters 
Metro Toronto Convention Centre 
The data analytics process is essential for work-force research in health services research. With the unique data that the American Board of Family Medicine has on both the current resident physicians as well as the just over 100,000 diplomates, there is a new interest in examining the validity and the choices made with respect to certification. As with many Medical specialty boards, there are two options for the licensing exams-- a one day test, closed book test and a longitudinal, open book assessment aimed to mimic the daily practices of the physician. It has also been shown that once physicians reach a certain stage in their careers, their board scores begin to decline. I plan to examine the two different exam options and create a predictive regression model to try and identify the characteristics that contribute to the next sequential board exam score. This method should highlight the benefits of the data analytical process in informing an organization on how to best serve it's diplomates.

Keywords

Data Analytics

Medical

Family Medicine

Regression

Certification

Health Services Research 

Abstracts


Main Sponsor

Section for Statistical Programmers and Analysts

Tracks

Miscellaneous