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
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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 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning 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 2016 The Diversity of Providers on the Family Medicine Team Go to The Diversity of Providers on the Family Medicine Team 2015 Smaller Practices Are Less Likely to Report PCMH Certification Go to Smaller Practices Are Less Likely to Report PCMH Certification
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 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning 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 2016 The Diversity of Providers on the Family Medicine Team Go to The Diversity of Providers on the Family Medicine Team 2015 Smaller Practices Are Less Likely to Report PCMH Certification Go to Smaller Practices Are Less Likely to Report PCMH Certification
2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
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
2016 The Diversity of Providers on the Family Medicine Team Go to The Diversity of Providers on the Family Medicine Team
2015 Smaller Practices Are Less Likely to Report PCMH Certification Go to Smaller Practices Are Less Likely to Report PCMH Certification