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 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants 2020 Author(s) Saha, Somava, Cohen, Bruce B, Nagy, Julia, McPHERSON, Marianne E, and Phillips, Robert L Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Cost Of Care, and Quality Of Care Volume Milbank Quarterly Source Milbank Quarterly Well-being In the Nation (WIN) offers the first parsimonious set of vetted common measures to improve population health and social determinants across sectors at local, state, and national levels and is driven by what communities need to improve health, well-being, and equity. The WIN measures were codesigned with more than 100 communities, federal agencies, and national organizations across sectors, in alignment with the National Committee on Vital and Health Statistics, the Foundations for Evidence-Based Policymaking Act, and Healthy People 2030. WIN offers a process for a collaborative learning measurement system to drive a learning health and well-being system across sectors at the community, state, and national levels. The WIN development process identified critical gaps and opportunities in equitable community-level data infrastructure, interoperability, and protections that could be used to inform the Federal Data Strategy. ABFM Research Read all 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care 2018 A State Chapter Perspective on Burnout and Resiliency Go to A State Chapter Perspective on Burnout and Resiliency 2015 Only one third of family physicians can estimate their patient panel size Go to Only one third of family physicians can estimate their patient panel size 2013 Historic Growth Rates Vary Widely Across the Primary Care Physician Disciplines Go to Historic Growth Rates Vary Widely Across the Primary Care Physician Disciplines
Author(s) Saha, Somava, Cohen, Bruce B, Nagy, Julia, McPHERSON, Marianne E, and Phillips, Robert L Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Cost Of Care, and Quality Of Care Volume Milbank Quarterly Source Milbank Quarterly
ABFM Research Read all 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care 2018 A State Chapter Perspective on Burnout and Resiliency Go to A State Chapter Perspective on Burnout and Resiliency 2015 Only one third of family physicians can estimate their patient panel size Go to Only one third of family physicians can estimate their patient panel size 2013 Historic Growth Rates Vary Widely Across the Primary Care Physician Disciplines Go to Historic Growth Rates Vary Widely Across the Primary Care Physician Disciplines
2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
2018 A State Chapter Perspective on Burnout and Resiliency Go to A State Chapter Perspective on Burnout and Resiliency
2015 Only one third of family physicians can estimate their patient panel size Go to Only one third of family physicians can estimate their patient panel size
2013 Historic Growth Rates Vary Widely Across the Primary Care Physician Disciplines Go to Historic Growth Rates Vary Widely Across the Primary Care Physician Disciplines
