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
post 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
post “Family Medicine Was All I Ever Wanted to Do” Dr. Phillip Wagner Read “Family Medicine Was All I Ever Wanted to Do”
Home Research Research Library Making Personalized Health Care Even More Personalized: Insights From Activities of the IOM Genomics Roundtable Making Personalized Health Care Even More Personalized: Insights From Activities of the IOM Genomics Roundtable 2015 Author(s) David, S P, Johnson, S G, Berger, A C, Feero, W G, Terry, S F, Green, Larry A, Phillips, Robert L, and Ginsburg, G S Topic(s) Role of Primary Care, and What Family Physicians Do Keyword(s) Patient Centered Medical Home (PCMH), Practice Innovations, and Teams Volume Annals of Family Medicine Source Annals of Family Medicine Genomic research has generated much new knowledge into mechanisms of human disease, with the potential to catalyze novel drug discovery and development, prenatal and neonatal screening, clinical pharmacogenomics, more sensitive risk prediction, and enhanced diagnostics. Genomic medicine, however, has been limited by critical evidence gaps, especially those related to clinical utility and applicability to diverse populations. Genomic medicine may have the greatest impact on health care if it is integrated into primary care, where most health care is received and where evidence supports the value of personalized medicine grounded in continuous healing relationships. Redesigned primary care is the most relevant setting for clinically useful genomic medicine research. Taking insights gained from the activities of the Institute of Medicine (IOM) Roundtable on Translating Genomic-Based Research for Health, we apply lessons learned from the patient-centered medical home national experience to implement genomic medicine in a patient-centered, learning health care system. Read More ABFM Research Read all 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments 2019 Patient and Clinician Perceptions of Prediabetes: A Mixed-Methods Primary Care Study Go to Patient and Clinician Perceptions of Prediabetes: A Mixed-Methods Primary Care Study 2013 The primary care extension program: a catalyst for change Go to The primary care extension program: a catalyst for change 2012 Family physicians closing their doors to children: considering the implications Go to Family physicians closing their doors to children: considering the implications
Author(s) David, S P, Johnson, S G, Berger, A C, Feero, W G, Terry, S F, Green, Larry A, Phillips, Robert L, and Ginsburg, G S Topic(s) Role of Primary Care, and What Family Physicians Do Keyword(s) Patient Centered Medical Home (PCMH), Practice Innovations, and Teams Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments 2019 Patient and Clinician Perceptions of Prediabetes: A Mixed-Methods Primary Care Study Go to Patient and Clinician Perceptions of Prediabetes: A Mixed-Methods Primary Care Study 2013 The primary care extension program: a catalyst for change Go to The primary care extension program: a catalyst for change 2012 Family physicians closing their doors to children: considering the implications Go to Family physicians closing their doors to children: considering the implications
2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
2019 Patient and Clinician Perceptions of Prediabetes: A Mixed-Methods Primary Care Study Go to Patient and Clinician Perceptions of Prediabetes: A Mixed-Methods Primary Care Study
2013 The primary care extension program: a catalyst for change Go to The primary care extension program: a catalyst for change
2012 Family physicians closing their doors to children: considering the implications Go to Family physicians closing their doors to children: considering the implications
