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 Advancing primary care with Artificial Intelligence and Machine Learning Advancing primary care with Artificial Intelligence and Machine Learning 2021 Author(s) Yang, Zhou, Silcox, Christina, Sendak, Mark, Rose, Sherri, Rehkopf, David H, Phillips, Robert L, Peterson, Lars E, Marino, Miguel, Maier, John, Lin, Steven, Liaw, Winston R, Kakadiaris, Ioannis A, Heintzman, John D, Chu, Isabella, and Bazemore, Andrew W Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Population Health Volume HealthCare Source HealthCare Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunities for developing and integrating AI/ML-driven clinical tools. This article presents a framework that identifies five domains for AI/ML integration in primary care to support care delivery transformation and achieve the Quintuple Aims of the healthcare system. We concluded that primary care plays a critical role in developing, introducing, implementing, and monitoring AI/ML tools in healthcare and must not be overlooked as AI/ML transforms healthcare. ABFM Research Read all 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 2023 Primary Care Physician Leadership in Top Ranked US Hospitals Go to Primary Care Physician Leadership in Top Ranked US Hospitals 2022 Underrepresented Minority Family Physicians More Likely to Care for Vulnerable Populations Go to Underrepresented Minority Family Physicians More Likely to Care for Vulnerable Populations 2021 Re-Envisioning Family Medicine Residencies: The End in Mind Go to Re-Envisioning Family Medicine Residencies: The End in Mind
Author(s) Yang, Zhou, Silcox, Christina, Sendak, Mark, Rose, Sherri, Rehkopf, David H, Phillips, Robert L, Peterson, Lars E, Marino, Miguel, Maier, John, Lin, Steven, Liaw, Winston R, Kakadiaris, Ioannis A, Heintzman, John D, Chu, Isabella, and Bazemore, Andrew W Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Population Health Volume HealthCare Source HealthCare
ABFM Research Read all 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 2023 Primary Care Physician Leadership in Top Ranked US Hospitals Go to Primary Care Physician Leadership in Top Ranked US Hospitals 2022 Underrepresented Minority Family Physicians More Likely to Care for Vulnerable Populations Go to Underrepresented Minority Family Physicians More Likely to Care for Vulnerable Populations 2021 Re-Envisioning Family Medicine Residencies: The End in Mind Go to Re-Envisioning Family Medicine Residencies: The End in Mind
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
2023 Primary Care Physician Leadership in Top Ranked US Hospitals Go to Primary Care Physician Leadership in Top Ranked US Hospitals
2022 Underrepresented Minority Family Physicians More Likely to Care for Vulnerable Populations Go to Underrepresented Minority Family Physicians More Likely to Care for Vulnerable Populations
2021 Re-Envisioning Family Medicine Residencies: The End in Mind Go to Re-Envisioning Family Medicine Residencies: The End in Mind