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Browsing by Author "Muthusamy, V. Raman"
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Item AGA White Paper: Roadmap for the Future of Colorectal Cancer Screening in the United States(Elsevier, 2020) Melson, Joshua E.; Imperiale, Thomas F.; Itzkowitz, Steven H.; Llor, Xavier; Kochman, Michael L.; Grady, William M.; Schoen, Robert E.; Burke, Carol; Shaukat, Aasma; Rabeneck, Linda; Ladabaum, Uri; Bresalier, Robert; Spiegel, Brennan; Yee, Judy; Wang, Thomas; Lieberman, David; Komanduri, Srinadh; Muthusamy, V. Raman; Dey, Neelendu; Medicine, School of MedicineItem GA White Paper: Challenges and Gaps in Innovation for the Performance of Colonoscopy for Screening and Surveillance of Colorectal Cancer(Elsevier, 2022) Komanduri, Srinadh; Dominitz, Jason A.; Rabeneck, Linda; Kahi, Charles; Ladabaum, Uri; Imperiale, Thomas F.; Byrne, Michael F.; Lee, Jeffrey K.; Lieberman, David; Wang, Andrew Y.; Sultan, Shahnaz; Pohl, Heiko; Muthusamy, V. Raman; Medicine, School of MedicineIn 2018 the American Gastroenterological Association’s (AGA) Center for GI Innovation and Technology (CGIT) convened a consensus conference, entitled, “Colorectal Cancer Screening and Surveillance: Role of Emerging Technology and Innovation to Improve Outcomes.” The conference participants, which included more than 60 experts in colorectal cancer (CRC), considered recent improvements in CRC screening rates and polyp detection, persistent barriers to colonoscopy uptake, and opportunities for performance improvement and innovation. This white paper originates from that conference. It aims to summarize current patient- and physician-centered gaps and challenges in colonoscopy, diagnostic and therapeutic challenges affecting colonoscopy uptake, and the potential use of emerging technologies and quality metrics to improve patient outcomes.Item A Prospective Multicenter Study Evaluating Learning Curves and Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography Among Advanced Endoscopy Trainees: The Rapid Assessment of Trainee Endoscopy Skills (RATES) Study(Elsevier, 2017) Wani, Sachin; Keswani, Rajesh; Hall, Matt; Han, Samuel; Ali, Meer Akbar; Brauer, Brian; Carlin, Linda; Chak, Amitabh; Collins, Dan; Cote, Gregory A.; Diehl, David L.; DiMaio, Christopher J.; Dries, Andrew; El-Hajj, Ihab; Ellert, Swan; Fairley, Kimberley; Faulx, Ashley; Fujii-Lau, Larissa; Gaddam, Srinivas; Gan, Seng-Ian; Gaspar, Jonathan P.; Gautamy, Chitiki; Gordon, Stuart; Harris, Cynthia; Hyder, Sarah; Jones, Ross; Kim, Stephen; Komanduri, Srinadh; Law, Ryan; Lee, Linda; Mounzer, Rawad; Mullady, Daniel; Muthusamy, V. Raman; Olyaee, Mojtaba; Pfau, Patrick; Saligram, Shreyas; Piraka, Cyrus; Rastogi, Amit; Rosenkranz, Laura; Rzouq, Fadi; Saxena, Aditi; Shah, Raj J.; Simon, Violette C.; Small, Aaron; Sreenarasimhaiah, Jayaprakash; Walker, Andrew; Wang, Andrew Y.; Watson, Rabindra R.; Wilson, Robert H.; Yachimski, Patrick; Yang, Dennis; Edmundowicz, Steven; Early, Dayna S.; Department of Medicine, IU School of MedicineBackground and aims Based on the Next Accreditation System, trainee assessment should occur on a continuous basis with individualized feedback. We aimed to validate endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) learning curves among advanced endoscopy trainees (AETs) using a large national sample of training programs and to develop a centralized database that allows assessment of performance in relation to peers. Methods ASGE recognized training programs were invited to participate and AETs were graded on ERCP and EUS exams using a validated competency assessment tool that assesses technical and cognitive competence in a continuous fashion. Grading for each skill was done using a 4-point scoring system and a comprehensive data collection and reporting system was built to create learning curves using cumulative sum analysis. Individual results and benchmarking to peers were shared with AETs and trainers quarterly. Results Of the 62 programs invited, 20 programs and 22 AETs participated in this study. At the end of training, median number of EUS and ERCP performed/AET was 300 (range 155-650) and 350 (125-500). Overall, 3786 exams were graded (EUS:1137; ERCP–biliary 2280, pancreatic 369). Learning curves for individual endpoints, and overall technical/cognitive aspects in EUS and ERCP demonstrated substantial variability and were successfully shared with all programs. The majority of trainees achieved overall technical (EUS: 82%; ERCP: 60%) and cognitive (EUS: 76%; ERCP: 100%) competence at conclusion of training. Conclusions These results demonstrate the feasibility of establishing a centralized database to report individualized learning curves and confirm the substantial variability in time to achieve competence among AETs in EUS and ERCP.