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 Setting the Target: Comparing Family Medicine Among US Allopathic Target Schools Setting the Target: Comparing Family Medicine Among US Allopathic Target Schools 2024 Author(s) Ha, Emmeline, Taskier, Madeline, Anderson, Andrea A, Martinez, Maria Portela, and Bazemore, Andrew W Topic(s) Education & Training, and Role of Primary Care Keyword(s) Undergraduate Medical Education Volume Family Medicine Source Family Medicine ABFM Research Read all 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 2008 Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician’s assistants Go to Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician’s assistants 2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models 2022 The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning Go to The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning
Author(s) Ha, Emmeline, Taskier, Madeline, Anderson, Andrea A, Martinez, Maria Portela, and Bazemore, Andrew W Topic(s) Education & Training, and Role of Primary Care Keyword(s) Undergraduate Medical Education Volume Family Medicine Source Family Medicine
ABFM Research Read all 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 2008 Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician’s assistants Go to Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician’s assistants 2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models 2022 The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning Go to The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning
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
2008 Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician’s assistants Go to Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician’s assistants
2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models
2022 The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning Go to The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning
