research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination Read Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
Phoenix Newsletter - March 2025 President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty Read President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty
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Home Research Research Library “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health 2016 Author(s) Bazemore, Andrew W, Cottrell, Erika K, Gold, R, Hughes, Lauren S, Phillips, Robert L, Angier, Heather, Burdick, T E, Carrozza, Mark A, and DeVoe, Jennifer E Topic(s) Role of Primary Care Keyword(s) Health Information Technology (HIT), and Population Health Volume Journal of the American Medical Informatics Association Source Journal of the American Medical Informatics Association Social determinants of health significantly impact morbidity and mortality; however, physicians lack ready access to this information in patient care and population management. Just as traditional vital signs give providers a biometric assessment of any patient, “community vital signs” (Community VS) can provide an aggregated overview of the social and environmental factors impacting patient health. Knowing Community VS could inform clinical recommendations for individual patients, facilitate referrals to community services, and expand understanding of factors impacting treatment adherence and health outcomes. This information could also help care teams target disease prevention initiatives and other health improvement efforts for clinic panels and populations. Given the proliferation of big data, geospatial technologies, and democratization of data, the time has come to integrate Community VS into the electronic health record (EHR). Here, the authors describe (i) historical precedent for this concept, (ii) opportunities to expand upon these historical foundations, and (iii) a novel approach to EHR integration. Read More ABFM Research Read all 2020 Taking a Closer Look at Mental Health Treatment Differences: Effectiveness of Mental Health Treatment by Provider Type in Racial and Ethnic Minorities Go to Taking a Closer Look at Mental Health Treatment Differences: Effectiveness of Mental Health Treatment by Provider Type in Racial and Ethnic Minorities 2013 A needs-based method for estimating the behavioral health staff needs of community health centers Go to A needs-based method for estimating the behavioral health staff needs of community health centers 2018 Patient-Centered Medical Home Recognition and Diabetes Control Among Health Centers: Exploring the Role of Enabling Services Go to Patient-Centered Medical Home Recognition and Diabetes Control Among Health Centers: Exploring the Role of Enabling Services 2016 Reducing Burden, Assuring Competence, Improving Quality, and Enhancing Professionalism: How Can Abfm Contribute to All? Go to Reducing Burden, Assuring Competence, Improving Quality, and Enhancing Professionalism: How Can Abfm Contribute to All?
Author(s) Bazemore, Andrew W, Cottrell, Erika K, Gold, R, Hughes, Lauren S, Phillips, Robert L, Angier, Heather, Burdick, T E, Carrozza, Mark A, and DeVoe, Jennifer E Topic(s) Role of Primary Care Keyword(s) Health Information Technology (HIT), and Population Health Volume Journal of the American Medical Informatics Association Source Journal of the American Medical Informatics Association
ABFM Research Read all 2020 Taking a Closer Look at Mental Health Treatment Differences: Effectiveness of Mental Health Treatment by Provider Type in Racial and Ethnic Minorities Go to Taking a Closer Look at Mental Health Treatment Differences: Effectiveness of Mental Health Treatment by Provider Type in Racial and Ethnic Minorities 2013 A needs-based method for estimating the behavioral health staff needs of community health centers Go to A needs-based method for estimating the behavioral health staff needs of community health centers 2018 Patient-Centered Medical Home Recognition and Diabetes Control Among Health Centers: Exploring the Role of Enabling Services Go to Patient-Centered Medical Home Recognition and Diabetes Control Among Health Centers: Exploring the Role of Enabling Services 2016 Reducing Burden, Assuring Competence, Improving Quality, and Enhancing Professionalism: How Can Abfm Contribute to All? Go to Reducing Burden, Assuring Competence, Improving Quality, and Enhancing Professionalism: How Can Abfm Contribute to All?
2020 Taking a Closer Look at Mental Health Treatment Differences: Effectiveness of Mental Health Treatment by Provider Type in Racial and Ethnic Minorities Go to Taking a Closer Look at Mental Health Treatment Differences: Effectiveness of Mental Health Treatment by Provider Type in Racial and Ethnic Minorities
2013 A needs-based method for estimating the behavioral health staff needs of community health centers Go to A needs-based method for estimating the behavioral health staff needs of community health centers
2018 Patient-Centered Medical Home Recognition and Diabetes Control Among Health Centers: Exploring the Role of Enabling Services Go to Patient-Centered Medical Home Recognition and Diabetes Control Among Health Centers: Exploring the Role of Enabling Services
2016 Reducing Burden, Assuring Competence, Improving Quality, and Enhancing Professionalism: How Can Abfm Contribute to All? Go to Reducing Burden, Assuring Competence, Improving Quality, and Enhancing Professionalism: How Can Abfm Contribute to All?