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 Community Vital Signs: Taking the Pulse of the Community While Caring for Patients Community Vital Signs: Taking the Pulse of the Community While Caring for Patients 2016 Author(s) Hughes, Lauren S, Phillips, Robert L, DeVoe, Jennifer E, and Bazemore, Andrew W Topic(s) Achieving Health System Goals Keyword(s) Population Health Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine In 2014 both the Institute of Medicine and the National Quality Forum recommended the inclusion of social determinants of health data in electronic health records (EHRs). Both entities primarily focus on collecting socioeconomic and health behavior data directly from individual patients. The burden of reliably, accurately, and consistently collecting such information is substantial, and it may take several years before a primary care team has actionable data available in its EHR. A more reliable and less burdensome approach to integrating clinical and social determinant data exists and is technologically feasible now. Community vital signs-aggregated community-level information about the neighborhoods in which our patients live, learn, work, and play-convey contextual social deprivation and associated chronic disease risks based on where patients live. Given widespread access to “big data” and geospatial technologies, community vital signs can be created by linking aggregated population health data with patient addresses in EHRs. These linked data, once imported into EHRs, are a readily available resource to help primary care practices understand the context in which their patients reside and achieve important health goals at the patient, population, and policy levels. Read More ABFM Research Read all 2015 A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care Go to A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care 2018 Burnout in Young Family Physicians: Variation Across States Go to Burnout in Young Family Physicians: Variation Across States 2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records 2016 Sponsoring Institutions with Five or Fewer Residency Programs Produce a Larger Proportion of General Internists and Family Physicians Go to Sponsoring Institutions with Five or Fewer Residency Programs Produce a Larger Proportion of General Internists and Family Physicians
Author(s) Hughes, Lauren S, Phillips, Robert L, DeVoe, Jennifer E, and Bazemore, Andrew W Topic(s) Achieving Health System Goals Keyword(s) Population Health Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2015 A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care Go to A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care 2018 Burnout in Young Family Physicians: Variation Across States Go to Burnout in Young Family Physicians: Variation Across States 2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records 2016 Sponsoring Institutions with Five or Fewer Residency Programs Produce a Larger Proportion of General Internists and Family Physicians Go to Sponsoring Institutions with Five or Fewer Residency Programs Produce a Larger Proportion of General Internists and Family Physicians
2015 A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care Go to A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care
2018 Burnout in Young Family Physicians: Variation Across States Go to Burnout in Young Family Physicians: Variation Across States
2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records
2016 Sponsoring Institutions with Five or Fewer Residency Programs Produce a Larger Proportion of General Internists and Family Physicians Go to Sponsoring Institutions with Five or Fewer Residency Programs Produce a Larger Proportion of General Internists and Family Physicians