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Home Research Research Library Page 7 Research Library Filters Topics Year Reset Data Disaggregation of Asian-American Family Physicians Huynh, Grace, Fleischer, Sarah E, and Peterson, Lars E 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Young, Richard A, Martin, Carmel M, Sturmberg, Joachim P, Hall, Sally, Bazemore, Andrew W, Kakadiaris, Ioannis A, and Lin, Steven 2024 Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications Price, David W, Wingrove, Peter M, and Bazemore, Andrew W 2024 Small Independent Primary Care Practices Serving Socially Vulnerable Urban Populations Rittenhouse, Diane R, Peebles, Victoria, Mack, Caroline, Alvarez, Cindy, and Bazemore, Andrew W 2024 Data Disaggregation of Asian Americans: Implications for the Physician Workforce Ha, Emmeline, and Kuwahara, Rita Kaur 2024 COVID-19 Impact on Family Medicine Residents Exam Performance Wang, Ting, O’Neill, Thomas R, Peterson, Lars E, and Newton, Warren P 2024 Addressing Social Determinants of Health in Family Medicine Practices Sand, Jessica, Morgan, Zachary J, and Peterson, Lars E 2024 Retaining the perinatal care workforce: Lessons learned from experienced physicians who no longer attend deliveries Barreto, Tyler W, Taylor, Melina K, Goldstein, Jessica Taylor, and Eden, Aimee R 2024 Association Between Social Deprivation, Race/Ethnicity, and Unplanned 30-Day Hospital Readmissions for Medicare Beneficiaries Ostrovsky, Andrey, Chen, Weiyun, Zemelman, Cal, Phillips, Robert L, Bazemore, Andrew W, and Winstead, Lauren 2024 Physician-Level Continuity of Care and Patient Outcomes in All-Payer Claims Database Dai, Mingliang, Morgan, Zachary J, Russel, Kyle, Bortz, Beth A, Peterson, Lars E, and Bazemore, Andrew W 2023
Data Disaggregation of Asian-American Family Physicians Huynh, Grace, Fleischer, Sarah E, and Peterson, Lars E 2024
What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Young, Richard A, Martin, Carmel M, Sturmberg, Joachim P, Hall, Sally, Bazemore, Andrew W, Kakadiaris, Ioannis A, and Lin, Steven 2024
Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications Price, David W, Wingrove, Peter M, and Bazemore, Andrew W 2024
Small Independent Primary Care Practices Serving Socially Vulnerable Urban Populations Rittenhouse, Diane R, Peebles, Victoria, Mack, Caroline, Alvarez, Cindy, and Bazemore, Andrew W 2024
Data Disaggregation of Asian Americans: Implications for the Physician Workforce Ha, Emmeline, and Kuwahara, Rita Kaur 2024
COVID-19 Impact on Family Medicine Residents Exam Performance Wang, Ting, O’Neill, Thomas R, Peterson, Lars E, and Newton, Warren P 2024
Addressing Social Determinants of Health in Family Medicine Practices Sand, Jessica, Morgan, Zachary J, and Peterson, Lars E 2024
Retaining the perinatal care workforce: Lessons learned from experienced physicians who no longer attend deliveries Barreto, Tyler W, Taylor, Melina K, Goldstein, Jessica Taylor, and Eden, Aimee R 2024
Association Between Social Deprivation, Race/Ethnicity, and Unplanned 30-Day Hospital Readmissions for Medicare Beneficiaries Ostrovsky, Andrey, Chen, Weiyun, Zemelman, Cal, Phillips, Robert L, Bazemore, Andrew W, and Winstead, Lauren 2024
Physician-Level Continuity of Care and Patient Outcomes in All-Payer Claims Database Dai, Mingliang, Morgan, Zachary J, Russel, Kyle, Bortz, Beth A, Peterson, Lars E, and Bazemore, Andrew W 2023
