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 Modeling fatigue Modeling fatigue 2002 Author(s) Sumner, W, and Xu, J Z Topic(s) Education & Training Keyword(s) Clinical Simulation Volume AMIA Annual Symposium Proceedings Source AMIA Annual Symposium Proceedings The American Board of Family Practice is developing a patient simulation program to evaluate diagnostic and management skills. The simulator must give temporally and physiologically reasonable answers to symptom questions such as “Have you been tired?” A three-step process generates symptom histories. In the first step, the simulator determines points in time where it should calculate instantaneous symptom status. In the second step, a Bayesian network implementing a roughly physiologic model of the symptom generates a value on a severity scale at each sampling time. Positive, zero, and negative values represent increased, normal, and decreased status, as applicable. The simulator plots these values over time. In the third step, another Bayesian network inspects this plot and reports how the symptom changed over time. This mechanism handles major trends, multiple and concurrent symptom causes, and gradually effective treatments. Other temporal insights, such as observations about short-term symptom relief, require complimentary mechanisms. Read More ABFM Research Read all 2021 Milestones in Family Medicine: Lessons for the Specialty Go to Milestones in Family Medicine: Lessons for the Specialty 2017 Developing the National Family Medicine Graduate Survey Go to Developing the National Family Medicine Graduate Survey 2018 Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician Go to Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician 2020 Characteristics of Office-Based Buprenorphine Prescribers for Medicare Patients Go to Characteristics of Office-Based Buprenorphine Prescribers for Medicare Patients
Author(s) Sumner, W, and Xu, J Z Topic(s) Education & Training Keyword(s) Clinical Simulation Volume AMIA Annual Symposium Proceedings Source AMIA Annual Symposium Proceedings
ABFM Research Read all 2021 Milestones in Family Medicine: Lessons for the Specialty Go to Milestones in Family Medicine: Lessons for the Specialty 2017 Developing the National Family Medicine Graduate Survey Go to Developing the National Family Medicine Graduate Survey 2018 Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician Go to Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician 2020 Characteristics of Office-Based Buprenorphine Prescribers for Medicare Patients Go to Characteristics of Office-Based Buprenorphine Prescribers for Medicare Patients
2021 Milestones in Family Medicine: Lessons for the Specialty Go to Milestones in Family Medicine: Lessons for the Specialty
2017 Developing the National Family Medicine Graduate Survey Go to Developing the National Family Medicine Graduate Survey
2018 Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician Go to Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician
2020 Characteristics of Office-Based Buprenorphine Prescribers for Medicare Patients Go to Characteristics of Office-Based Buprenorphine Prescribers for Medicare Patients