Home Research Research Library The Generation in Between: A Perspective from the Keystone IV Conference The Generation in Between: A Perspective from the Keystone IV Conference 2016 Author(s) Chen, Frederick M, Bliss, Erika B, Dunn, A, Edgoose, J, Elliott, T C, Maxwell, L C, Morris, C G, and Phillips, Robert L Topic(s) Achieving Health System Goals Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine Keystone IV affirmed the value of relationships in family medicine, but each generation of family physicians took away different impressions and lessons. “Generation III,” between the Baby Boomers and Millennials, reported conflict between their professional ideal of family medicine and the realities of current practice. But the Keystone conference also helped them appreciate core values of family medicine, their shared experience, and new opportunities for leadership. ABFM Research Read all 2022 Multinational primary health care experiences from the initial wave of the COVID-19 pandemic: A qualitative analysis Go to Multinational primary health care experiences from the initial wave of the COVID-19 pandemic: A qualitative analysis 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 2021 Distribution of Physician Specialties by Rurality Go to Distribution of Physician Specialties by Rurality 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
Author(s) Chen, Frederick M, Bliss, Erika B, Dunn, A, Edgoose, J, Elliott, T C, Maxwell, L C, Morris, C G, and Phillips, Robert L Topic(s) Achieving Health System Goals Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2022 Multinational primary health care experiences from the initial wave of the COVID-19 pandemic: A qualitative analysis Go to Multinational primary health care experiences from the initial wave of the COVID-19 pandemic: A qualitative analysis 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 2021 Distribution of Physician Specialties by Rurality Go to Distribution of Physician Specialties by Rurality 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
2022 Multinational primary health care experiences from the initial wave of the COVID-19 pandemic: A qualitative analysis Go to Multinational primary health care experiences from the initial wave of the COVID-19 pandemic: A qualitative analysis
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
2021 Distribution of Physician Specialties by Rurality Go to Distribution of Physician Specialties by Rurality
2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
