Phoenix Newsletter - October 2025 President’s Message: Enduring Commitments in a Time of Change Read President’s Message: Enduring Commitments in a Time of Change
Home Research Research Library Value of information in virtual patients portraying pharyngitis Value of information in virtual patients portraying pharyngitis 2008 Author(s) Sumner, W, and Hagen, Michael D Topic(s) Education & Training, and Family Medicine Certification Keyword(s) Clinical Simulation, Cognitive Expertise, and Psychometrics Volume AMIA Annual Symposium Proceedings The American Board of Family Medicine (ABFM) uses virtual patients (VP) in Maintenance of Certification. Theoretically, the ABFM could score users on the value of information (VOI) in their queries. Pharyngitis, a prototypical primary care topic, appears practically intractable to VOI scoring. Problems include conflicting goals of various stakeholders and strong regional and temporal variability in disease characteristics. Nevertheless, the analysis yielded insights that may shift, or validate, the ABFM’s selection of scoring criteria. ABFM Research Read all 2019 Family Medicine Residency Graduates’ Preparation for Quality Improvement Leadership Go to Family Medicine Residency Graduates’ Preparation for Quality Improvement Leadership 2022 Strengthening Primary Care to Improve Health Outcomes in the US Go to Strengthening Primary Care to Improve Health Outcomes in the US 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2024 Data Disaggregation of Asian Americans: Implications for the Physician Workforce Go to Data Disaggregation of Asian Americans: Implications for the Physician Workforce
Author(s) Sumner, W, and Hagen, Michael D Topic(s) Education & Training, and Family Medicine Certification Keyword(s) Clinical Simulation, Cognitive Expertise, and Psychometrics Volume AMIA Annual Symposium Proceedings
ABFM Research Read all 2019 Family Medicine Residency Graduates’ Preparation for Quality Improvement Leadership Go to Family Medicine Residency Graduates’ Preparation for Quality Improvement Leadership 2022 Strengthening Primary Care to Improve Health Outcomes in the US Go to Strengthening Primary Care to Improve Health Outcomes in the US 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2024 Data Disaggregation of Asian Americans: Implications for the Physician Workforce Go to Data Disaggregation of Asian Americans: Implications for the Physician Workforce
2019 Family Medicine Residency Graduates’ Preparation for Quality Improvement Leadership Go to Family Medicine Residency Graduates’ Preparation for Quality Improvement Leadership
2022 Strengthening Primary Care to Improve Health Outcomes in the US Go to Strengthening Primary Care to Improve Health Outcomes in the US
2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence
2024 Data Disaggregation of Asian Americans: Implications for the Physician Workforce Go to Data Disaggregation of Asian Americans: Implications for the Physician Workforce
