Home Research Research Library One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 2021 Author(s) Rittenhouse, Diane R, Bazemore, Andrew W, Morgan, Zachary J, and Peterson, Lars E Topic(s) Role of Primary Care Keyword(s) Practice Organization / Ownership Volume 34(5):1033-1034 Source Journal of the American Board of Family Medicine The rise of health system and hospital ownership of primary care practices raises policy questions about the survival of independent physician-owned practices. Our data indicate that a substantial proportion of FPs in 2017-2019 remained in independently owned practice: 81% of solo practitioners and 35% of FPs in practices with 2-5 clinicians. These findings suggest that independent practice is surviving, and that it’s incumbent on researchers, payers, and policymakers to better understand their unique contributions and challenges in the effort to improve primary care access, quality, and cost. ABFM Research Read all 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 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 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 2013 Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care Go to Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care
Author(s) Rittenhouse, Diane R, Bazemore, Andrew W, Morgan, Zachary J, and Peterson, Lars E Topic(s) Role of Primary Care Keyword(s) Practice Organization / Ownership Volume 34(5):1033-1034 Source Journal of the American Board of Family Medicine
ABFM Research Read all 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 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 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 2013 Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care Go to Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
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 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
2013 Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care Go to Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care
