Diplomate Spotlight Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook Read Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook
Phoenix Newsletter - July 2025 Available Now: 2026 5-Year Cycle Registration Read Available Now: 2026 5-Year Cycle Registration
Home Research Research Library A Leadership Challenge: Providing Hope for Our Patients, Practices and Communities A Leadership Challenge: Providing Hope for Our Patients, Practices and Communities 2022 Author(s) Newton, Warren P, Michelfelder, Aaron, Stutzman, Kim, Critchlow, Renee, and Wergin, Robert Keyword(s) Board News Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine In a world marked by the COVID-19 pandemic, civil rights issues, economic struggles, and climate change, the Family Medicine Leadership Council finds hope for the future in the resilience and adaptability shown by family physicians and their teams. Amidst the pandemic, family physicians took on new roles, transitioned to telehealth, and cared for patients under extraordinary circumstances, demonstrating the importance of their versatility and dedication to their communities. The pandemic also highlighted the strength of clinical teams and the critical role of interpersonal continuity of care and social connection in providing holistic healthcare. The field of family medicine has also shown promise in revamping residency programs to better serve communities, focusing on practice transformation, addressing disparities, and competency-based medical education. Despite significant challenges, the family medicine community remains steadfast in their commitment to change and progress, anchored in their belief in unity, perseverance, and an unwavering sense of hope. ABFM Research Read all 2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare 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 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
Author(s) Newton, Warren P, Michelfelder, Aaron, Stutzman, Kim, Critchlow, Renee, and Wergin, Robert Keyword(s) Board News Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare 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 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare
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
2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone