Residency Performance Index (RPI)

THE 2017 RPI IS CLOSED.

We will announce the opening of the 2018 in early 2018.

If you filled out the data for 2017 you can go to the special website to review your data. 

The Residency Performance Index (RPI) is an AFMRD tool for family medicine residency program improvement. It is available to AFMRD members at no cost for use by individual programs to gauge and improve their performance in the metrics measured. Please note: You must have data on at least three classes of residents to submit.  If you are a new program that has not yet had three classes, we can provide you with the aggregate data for reference.

With the new RPI software,  you will enter your numbers and immediately see the aggregate numbers as well. The really great thing about the new software is that with just a few clicks, you can download your program’s RPI report to PowerPoint or Excel!  Since the software is new, we have prepared a Quick Guide to walk you through the new and improved process.  The Quick Guide will show you how to:

  • enter data online
  • view your results in both table and dashboard form
  • export dashboards
  • export graphs
  • export tables

The Residency Performance Index (RPI) is a tool developed and maintained by the AFMRD and is intended for the use of its members. Your program's individualized survey results in the form of an RPI report may only be used for your internal planning purposes. Publication or comparison to other programs or other data sets is strictly prohibited. The AFMRD will own all RPI data and survey results and will only use your data in anonymous, aggregate form for the purpose of advancing the mission of the AFMRD and its members.

If you have any questions about RPI, please contact Vickie Greenwood at 800.274.2237, ext. 6738.


RPI in the News

 

The AFMRD Residency Performance Index (RPI) was featured in the December 2014 issue of the Journal of Graduate Medical Education. Read the article, The Residency Performance Index: An Effort at Residency Quality Assessment and Improvement in Family Medicine by Grant S. Hoekzema, Lisa Maxwell, Joseph W. Gravel Jr, Walter W. Mills and William Geiger.