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
A Conversation with Dr. Phillip Wagner “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 Precision Ecologic Medicine: Tailoring Care to Mitigate Impacts of Climate Change Precision Ecologic Medicine: Tailoring Care to Mitigate Impacts of Climate Change 2023 Author(s) DeVoe, Jennifer E, Huguet, Nathalie, Likumahuwa-Ackman, Sonja, Bazemore, Andrew W, Gold, Rachel, and Werner, Leah Topic(s) Role of Primary Care Keyword(s) Health Information Technology (HIT) Volume Journal of Primary Care & Community Health Source Journal of Primary Care & Community Health As recent extreme weather events demonstrate, climate change presents unprecedented and increasing health risks, disproportionately so for disadvantaged communities in the U.S. already experiencing health disparities. As patients in these frontline communities live through extreme weather events, socioeconomic and health stressors are compounded; thus, their healthcare teams will need tools to provide precision ecologic medicine approaches to their care. Many primary care teams are taking actionable steps to bring community-level socioeconomic data (“community vital signs”) into electronic medical records, to facilitate tailoring care based on a given patient’s circumstances. This work can be extended to include environmental risk data, thus equipping healthcare teams with an awareness of clinical and community vital signs and making them better positioned to mitigate climate impacts on health. For example, if healthcare teams can easily identify patients who have multiple chronic conditions and live in an urban heat island, they can proactively arrange to “prescribe” an air conditioner, heat pump, and/or air purifier. Or, when a severe storm/heat event/poor air quality event is predicted, they can take preemptive steps to get help to patients at high medical and socioeconomic risk, rather than waiting for them to arrive in the emergency department. Advances in health information technologies now make it technically feasible to integrate a wealth of publicly-available community-level data into EMRs. Efforts to bring this contextual data into clinical settings must be accelerated to equip healthcare teams to provide precision ecologic medicine interventions to their patients. Read More ABFM Research Read all 2017 Workplace Factors Associated With Burnout of Family Physicians Go to Workplace Factors Associated With Burnout of Family Physicians 2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models 2014 Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model Go to Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model 2016 Access to Primary Care in US Counties Is Associated with Lower Obesity Rates Go to Access to Primary Care in US Counties Is Associated with Lower Obesity Rates
Author(s) DeVoe, Jennifer E, Huguet, Nathalie, Likumahuwa-Ackman, Sonja, Bazemore, Andrew W, Gold, Rachel, and Werner, Leah Topic(s) Role of Primary Care Keyword(s) Health Information Technology (HIT) Volume Journal of Primary Care & Community Health Source Journal of Primary Care & Community Health
ABFM Research Read all 2017 Workplace Factors Associated With Burnout of Family Physicians Go to Workplace Factors Associated With Burnout of Family Physicians 2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models 2014 Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model Go to Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model 2016 Access to Primary Care in US Counties Is Associated with Lower Obesity Rates Go to Access to Primary Care in US Counties Is Associated with Lower Obesity Rates
2017 Workplace Factors Associated With Burnout of Family Physicians Go to Workplace Factors Associated With Burnout of Family Physicians
2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models
2014 Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model Go to Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model
2016 Access to Primary Care in US Counties Is Associated with Lower Obesity Rates Go to Access to Primary Care in US Counties Is Associated with Lower Obesity Rates