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 Care Coordination and Population Management Services Are More Prevalent in Large Practices and Patient-centered Medical Homes Care Coordination and Population Management Services Are More Prevalent in Large Practices and Patient-centered Medical Homes 2016 Author(s) Moore, Miranda A, Peterson, Lars E, Coffman, Megan, and Jabbarpour, Yalda Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Patient Centered Medical Home (PCMH), and Quality Of Care Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine Despite efforts to better coordinate health care and improve population health, primary care practices may face difficulty dedicating an individual to provide these services. Using data from the American Board of Family Medicine, we found that the presence of care coordinators or population health managers was higher in larger practices and those with patient-centered medical home certification. ABFM Research Read all 2013 The primary care extension program: a catalyst for change Go to The primary care extension program: a catalyst for change 2022 Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Go to Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health 2020 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Go to Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
Author(s) Moore, Miranda A, Peterson, Lars E, Coffman, Megan, and Jabbarpour, Yalda Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Patient Centered Medical Home (PCMH), and Quality Of Care Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2013 The primary care extension program: a catalyst for change Go to The primary care extension program: a catalyst for change 2022 Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Go to Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health 2020 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Go to Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
2013 The primary care extension program: a catalyst for change Go to The primary care extension program: a catalyst for change
2022 Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Go to Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health
2020 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Go to Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants
2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
