research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination Read Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
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
A Conversation with Dr. Phillip Wagner “Family Medicine Was All I Ever Wanted to Do” Dr. Phillip Wagner Read “Family Medicine Was All I Ever Wanted to Do”
Home Research Research Library Only one third of family physicians can estimate their patient panel size Only one third of family physicians can estimate their patient panel size 2015 Author(s) Peterson, Lars E, Cochrane, Anneli, Bazemore, Andrew W, Baxley, Elizabeth G, and Phillips, Robert L Topic(s) Role of Primary Care Keyword(s) Practice Organization / Ownership Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine In addition to payments for services rendered to individual patients, primary care physicians will increasingly be paid for their ability to achieve goals across the body of patients most closely associated with them: their “panel.” In a 2013 survey, however, only one third of family physicians could estimate their panel size, raising concern about their ability to perform more advanced primary care functions. Read More ABFM Research Read all 2019 Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System Go to Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System 2019 Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation Go to Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation 2021 Primary Care in the COVID-19 Pandemic: Essential, and Inspiring Go to Primary Care in the COVID-19 Pandemic: Essential, and Inspiring 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
Author(s) Peterson, Lars E, Cochrane, Anneli, Bazemore, Andrew W, Baxley, Elizabeth G, and Phillips, Robert L Topic(s) Role of Primary Care Keyword(s) Practice Organization / Ownership Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2019 Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System Go to Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System 2019 Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation Go to Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation 2021 Primary Care in the COVID-19 Pandemic: Essential, and Inspiring Go to Primary Care in the COVID-19 Pandemic: Essential, and Inspiring 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
2019 Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System Go to Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System
2019 Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation Go to Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation
2021 Primary Care in the COVID-19 Pandemic: Essential, and Inspiring Go to Primary Care in the COVID-19 Pandemic: Essential, and Inspiring
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
