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 Illustrating the Psychometric Construct of Family Medicine on the American Board of Family Medicine’s Examinations Physician Perceptions of Performance Feedback in a Quality Improvement Activity 2018 Author(s) Eden, Aimee R, Hansen, Elizabeth Rose, Hagen, Michael D, and Peterson, Lars E Topic(s) Family Medicine Certification, Role of Primary Care, and Achieving Health System Goals Keyword(s) Measurement, Performance Improvement, Physician Experience (Burnout / Satisfaction), and Qualitative Volume American Journal of Medical Quality Source American Journal of Medical Quality Physician performance and peer comparison feedback can affect physician care quality and patient outcomes. This study aimed to understand family physician perspectives of the value of performance feedback in quality improvement (QI) activities. This study analyzed American Board of Family Medicine open-ended survey data collected between 2004 and 2014 from physicians who completed a QI module that provided pre- and post-QI project individual performance data and peer comparisons. Physicians made 3480 comments in response to a question about this performance feedback, which were generally positive in nature (86%). Main themes that emerged were importance of accurate feedback data, enhanced detail in the content of feedback, and ability to customize peer comparison groups to compare performance to peers with similar patient populations or practice characteristics. Meaningful and tailored performance feedback may be an important tool for physicians to improve their care quality and should be considered an integral part of QI project design. Read More ABFM Research Read all 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care 2022 Family Medicine’s Gender Pay Gap Go to Family Medicine’s Gender Pay Gap 1989 Certificates of added qualifications Go to Certificates of added qualifications 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) Eden, Aimee R, Hansen, Elizabeth Rose, Hagen, Michael D, and Peterson, Lars E Topic(s) Family Medicine Certification, Role of Primary Care, and Achieving Health System Goals Keyword(s) Measurement, Performance Improvement, Physician Experience (Burnout / Satisfaction), and Qualitative Volume American Journal of Medical Quality Source American Journal of Medical Quality
ABFM Research Read all 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care 2022 Family Medicine’s Gender Pay Gap Go to Family Medicine’s Gender Pay Gap 1989 Certificates of added qualifications Go to Certificates of added qualifications 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?
2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
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?
