Beyond the Clinic Family Medicine on a Mission Part 1: How Air Force Physicians Achieve Humanitarian Goals Read Family Medicine on a Mission Part 1: How Air Force Physicians Achieve Humanitarian Goals
Phoenix Newsletter - March 2025 President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty Read President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty
Home Research Research Library Certifying Boards Can Provide Knowledge that Shapes Policy Certifying Boards Can Provide Knowledge that Shapes Policy 2024 Author(s) Phillips, Robert L Topic(s) Education & Training, Family Medicine Certification, and Role of Primary Care Keyword(s) Board News, Continuing Certification Questionnaire, Graduate Medical Education, Health Information Technology (HIT), Imprinting Of Training, In-Training Examination, Measurement, National Graduate Survey, National Resident Survey, Practice Demographic Survey, Prime, Professionalism, and Supply / Projections Volume ABMS Insights Source ABMS Insights The 24 Member Boards of the American Board of Medical specialties (ABMS) are uniquely positioned between the interests of the public and the profession, not in the tensions between them, but rather in the shared space of improving care and outcomes. One way that certifying boards can serve both interests is as an honest broker of highly reliable data at a time when the data that policymakers rely upon is crumbling. In the absence of good data, policymakers can make bad decisions that hurt physicians and our patients. The American Board of Family Medicine (ABFM) has collected data routinely from board certified family physicians (also known as diplomates) for more than 40 years but in the last dozen years, it has done so with the express purpose of understanding the ecology of Family Medicine—how it is changing, the pressures on the workforce, and how it affects our diplomates. In 2018, ABFM created the Center for Professionalism & Value in Health Care to help change the policies that affect health care professionals and enable them to deliver better care with less burden and less burnout. Good data have been a key lever for this goal. Read More ABFM Research Read all 2021 Towards a Quality Agenda for Family Medicine Go to Towards a Quality Agenda for Family Medicine 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments 2004 The Future of Family Medicine: a collaborative project of the family medicine community Go to The Future of Family Medicine: a collaborative project of the family medicine community 2021 Debt of Family Medicine Residents Continues to Grow Go to Debt of Family Medicine Residents Continues to Grow
Author(s) Phillips, Robert L Topic(s) Education & Training, Family Medicine Certification, and Role of Primary Care Keyword(s) Board News, Continuing Certification Questionnaire, Graduate Medical Education, Health Information Technology (HIT), Imprinting Of Training, In-Training Examination, Measurement, National Graduate Survey, National Resident Survey, Practice Demographic Survey, Prime, Professionalism, and Supply / Projections Volume ABMS Insights Source ABMS Insights
ABFM Research Read all 2021 Towards a Quality Agenda for Family Medicine Go to Towards a Quality Agenda for Family Medicine 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments 2004 The Future of Family Medicine: a collaborative project of the family medicine community Go to The Future of Family Medicine: a collaborative project of the family medicine community 2021 Debt of Family Medicine Residents Continues to Grow Go to Debt of Family Medicine Residents Continues to Grow
2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
2004 The Future of Family Medicine: a collaborative project of the family medicine community Go to The Future of Family Medicine: a collaborative project of the family medicine community
2021 Debt of Family Medicine Residents Continues to Grow Go to Debt of Family Medicine Residents Continues to Grow