{"title":"Implementing a competency based medical education curriculum in diagnostic radiology: Challenges and Pearls of Wisdom.","authors":"Christina Rogoza, Sijyl Fasih, Benjamin Y M Kwan","doi":"10.1067/j.cpradiol.2025.01.012","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.01.012","url":null,"abstract":"<p><p>In 2014, The Royal College of Physicians and Surgeons of Canada (RCPSC) began a national initiative to rollout Competency-Based Medical Education (CBME) for all postgraduate medical programs. This represents a paradigm shift in the approach to resident training and transformative changes on many levels. In 2017, the department of Diagnostic Radiology at Queen's University became an early adopter of the CBME training model. The department began curricular planning using program specific Entrustable Professional Activities (EPAs), milestones based on the CanMeds roles, and an assessment framework. Associated processes were created to support implementation, with formation of a new competence committee, structure and process for academic advisors, and faculty development. In July 2018, the model was implemented using an electronic portfolio system, Elentra. In July 2022, the RCPSC launched the national implementation of their CBME CBD model, which was implemented for the incoming cohorts in the department of Diagnostic Radiology. Drawing from CBME implementation in the department of Diagnostic Radiology at Queen's University, we highlight the challenges encountered at our institution, methods for addressing these challenges, and corresponding outcomes. From our experience, we aim to provide a roadmap for the reader that will aid in planning for CBME implementation at other institutions.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oganes Ashikyan, Alex Zhu, Travis Browning, Cecilia Brewington, Avneesh Chhabra
{"title":"Mismatch in productivity calculated from wRVU metric and the actual number of images in musculoskeletal radiographic studies.","authors":"Oganes Ashikyan, Alex Zhu, Travis Browning, Cecilia Brewington, Avneesh Chhabra","doi":"10.1067/j.cpradiol.2025.01.001","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.01.001","url":null,"abstract":"<p><p>The work relative value unit (wRVU) measures the physician's work involved in performing a service and is commonly used to quantify physician productivity. A critical component factored in wRVUs is the time required to perform a service. In musculoskeletal radiology, this time correlates directly with the number of images produced per radiograph. The purpose of this project was to evaluate whether the actual number of acquired images matches the number of views indicated in musculoskeletal radiographs CPT code descriptions. A query of our internal database returned 76,204 musculoskeletal radiograph reports. 440 random radiographs were reviewed to evaluate variability in the number of images obtained. This sample consisted of ten studies from each of the forty-four musculoskeletal codes. We recorded the number of actual images obtained. 242 studies from the safety net health care system and 198 studies from the university associated hospitals and clinics were evaluated. Seventy-five studies (31 %) were found to have mismatched number of images among the 242 studies from the safety net health care system. Sixty-six studies (33 %) were found to have mismatched number of images among the 198 studies sample from university associated tertiary care system. There was significant difference between the extra images obtained at two different health care systems (p < 0.001). There were more studies with extra images in the safety net system compared to the university hospital. The commonly used wRVU metric has broad variability in the assessment of work productivity for musculoskeletal radiographs given the variance in the number of images obtained.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143018438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radiology quick cash? Kickbacks, compliance, and consequences.","authors":"Robert Optican, Richard Duszak","doi":"10.1067/j.cpradiol.2024.05.020","DOIUrl":"10.1067/j.cpradiol.2024.05.020","url":null,"abstract":"<p><p>The Anti-Kickback Statute was passed by Congress in the 1970s to reduce the overuse of government-reimbursed medical services. It attempts to eliminate fraud, abuse, and waste of medical services by outlawing the incentive of personal gain when referring patients for government-funded services. Although safe harbors were written into the law to maintain transactions beneficial to society, they require strict adherence. Anti-Kickback Statute violations are subject to the whistleblower provision of the False Claims Act, and violations can yield significant civil and criminal penalties.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":"677-678"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140961173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}