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 Clinical Quality Measure Exchange is Not Easy Clinical Quality Measure Exchange is Not Easy 2021 Author(s) Phillips, Robert L, Peterson, Lars E, Palen, TE, Fields, SA, Parchman, ML, and Johannides, John Topic(s) Family Medicine Certification Volume Annals of Family Medicine Source Annals of Family Medicine PURPOSE The Trial of Aggregate Data Exchange for Maintenance of Certification and Raising Quality was a randomized controlled trial which first had to test whether quality reporting could be a by-product of clinical care. We report on the initial descriptive study of the capacity for and quality of exchange of whole-panel, standardized quality measures from health systems. METHODS Family physicians were recruited from 4 health systems with mature quality measurement programs and agreed to submit standardized, physician-level quality measures for consenting physicians. Identified measure or transfer errors were captured and evaluated for root-cause problems. RESULTS The health systems varied considerably by patient demographics and payer mix. From the 4 systems, 256 family physicians elected to participate. Of 19 measures negotiated for use, 5 were used by all systems. There were more than 15 types of identified errors including breaks in data delivery, changes in measures, and nonsensical measure results. Only 1 system had no identified errors. CONCLUSIONS The secure transfer of standardized, physician-level quality measures from 4 health systems with mature measure processes proved difficult. There were many errors that required human intervention and manual repair, precluding full automation. This study reconfirms an important problem, namely, that despite widespread health information technology adoption and federal meaningful use policies, we remain far from goals to make clinical quality reporting a reliable by-product of care. Read More ABFM Research Read all 2021 Academic Achievement, Professionalism, and Burnout in Family Medicine Residents Go to Academic Achievement, Professionalism, and Burnout in Family Medicine Residents 2016 Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care Go to Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care 2022 Family Physician Racial Identity: An Analysis of “Other” Race Selection and Implications for Future Data Collection Go to Family Physician Racial Identity: An Analysis of “Other” Race Selection and Implications for Future Data Collection 2022 HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL Go to HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL
Author(s) Phillips, Robert L, Peterson, Lars E, Palen, TE, Fields, SA, Parchman, ML, and Johannides, John Topic(s) Family Medicine Certification Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 2021 Academic Achievement, Professionalism, and Burnout in Family Medicine Residents Go to Academic Achievement, Professionalism, and Burnout in Family Medicine Residents 2016 Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care Go to Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care 2022 Family Physician Racial Identity: An Analysis of “Other” Race Selection and Implications for Future Data Collection Go to Family Physician Racial Identity: An Analysis of “Other” Race Selection and Implications for Future Data Collection 2022 HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL Go to HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL
2021 Academic Achievement, Professionalism, and Burnout in Family Medicine Residents Go to Academic Achievement, Professionalism, and Burnout in Family Medicine Residents
2016 Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care Go to Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care
2022 Family Physician Racial Identity: An Analysis of “Other” Race Selection and Implications for Future Data Collection Go to Family Physician Racial Identity: An Analysis of “Other” Race Selection and Implications for Future Data Collection
2022 HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL Go to HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL
