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
Diplomate Spotlight “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 Computer-based testing in family practice certification and recertification Computer-based testing in family practice certification and recertification 2003 Author(s) Hagen, Michael D, Sumner, W, Roussel, G H, Rovinelli, R J, and Xu, J Z Topic(s) Education & Training, Family Medicine Certification, and Role of Primary Care Keyword(s) Clinical Simulation, and Health Information Technology (HIT) Volume Journal of the American Board of Family Practice Source Journal of the American Board of Family Practice BACKGROUND: The member boards of the American Board of Medical Specialties have agreed to expand the scope of certification to include assessment of medical knowledge, practice-based learning and improvement, patient care, interpersonal and communication skills, systems-based practice, and professionalism. Multiple-choice examinations provide limited ability to assess these dimensions. METHODS: The American Board of Family Practice (ABFP) has developed a computer simulation system to facilitate more comprehensive candidate evaluation. The system consists of a knowledge base, a simulation program to create patient scenarios, an interface for presenting simulations to users, and an administrative database to track candidate performance and interactions with the system. The system uses population distributions for disease states to produce cases and evolves patients in response to candidate interventions, such as pharmacological and nonpharmacological therapies. We use Bayesian belief networks to model patient characteristics and comorbid condition interactions. RESULTS: Simulations have been created for 7 disease states; ultimately simulations will be available for 25 to 30 disease states. Initial testing will take place in regional examination centers but will ultimately use the Internet for convenient access for certification and recertification candidates. CONCLUSION: The ABFP will begin field-testing the system in early 2003 and will include simulations in the certification and recertification examination process in 2004. Read More ABFM Research Read all 2023 The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters Go to The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters 2012 ABFM’s heart failure self-assessment module simulation actions vis-a-vis guideline recommendations Go to ABFM’s heart failure self-assessment module simulation actions vis-a-vis guideline recommendations 2008 Using county-level public health data to prioritize medical education topics Go to Using county-level public health data to prioritize medical education topics 2008 Value of information in virtual patients portraying pharyngitis Go to Value of information in virtual patients portraying pharyngitis
Author(s) Hagen, Michael D, Sumner, W, Roussel, G H, Rovinelli, R J, and Xu, J Z Topic(s) Education & Training, Family Medicine Certification, and Role of Primary Care Keyword(s) Clinical Simulation, and Health Information Technology (HIT) Volume Journal of the American Board of Family Practice Source Journal of the American Board of Family Practice
ABFM Research Read all 2023 The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters Go to The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters 2012 ABFM’s heart failure self-assessment module simulation actions vis-a-vis guideline recommendations Go to ABFM’s heart failure self-assessment module simulation actions vis-a-vis guideline recommendations 2008 Using county-level public health data to prioritize medical education topics Go to Using county-level public health data to prioritize medical education topics 2008 Value of information in virtual patients portraying pharyngitis Go to Value of information in virtual patients portraying pharyngitis
2023 The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters Go to The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters
2012 ABFM’s heart failure self-assessment module simulation actions vis-a-vis guideline recommendations Go to ABFM’s heart failure self-assessment module simulation actions vis-a-vis guideline recommendations
2008 Using county-level public health data to prioritize medical education topics Go to Using county-level public health data to prioritize medical education topics
2008 Value of information in virtual patients portraying pharyngitis Go to Value of information in virtual patients portraying pharyngitis