The Foundation is supporting the Measures that Matter portfolio in collaboration with the Center for Professionalism & Value in healthcare. We are working to develop, implement and collaborate on quality measures that improve patient care and promote professionalism. The measures are focused on capturing the real value of primary care and reducing administrative burden.

One of Family Medicine’s critical research deficits is a lack of AI/ML methodology capacity. This puts us at a severe disadvantage in using data to tell our story and risks further distancing of our data from relevant clinical and policy understanding—if family medicine’s data are not part of the increasingly complex research efforts in many of our academic and federal research centers, we become even more invisible. We also risk being forced to use guidelines, clinical decision support, and other clinical tools derived from data inappropriate for our setting and patients. In response to this situation, the Foundation invited Family Medicine departments to compete for funding to hire an AI/ML researcher (probably post-doctoral researcher) who would be imbedded in the Family Medicine department. Four departments were awarded grants beginning in 2022. Each institution is working on one or more projects using primary care data to answer primary care research questions, preferably using PRIME or related clinical data

In 2016 the PRIME registry was initiated by the ABFM with funding from the Foundation. The PRIME registry aims to relieve burden, improve quality assessment and improvement, prioritize measures that matter, and attract resources to primary care to support comprehensive, relationship-rich care. PRIME Registry is the largest national Qualified Clinical Data Registry (QCDR) for Primary Care. PRIME Registry was established to help provide family physicians and primary care clinicians a faster, easier way to evalu¬ate practice performance, with a suite of built-in tools designed to improve primary care practice and patient out¬comes, and reduce the burden of reporting for CMS pay¬ment programs (like the Merit-Based Incentive Payment System and Primary Care First), at no extra cost.