Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Martin V Pusic"'
Autor:
Tal Baron, Robert I Grossman, Steven B Abramson, Martin V Pusic, Rafael Rivera, Marc M Triola, Itai Yanai
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227108 (2020)
The acceptance of students to a medical school places a considerable emphasis on performance in standardized tests and undergraduate grade point average (uGPA). Traditionally, applicants may be judged as a homogeneous population according to simple q
Externí odkaz:
https://doaj.org/article/1ee40887f4fa40299eb8ea4263692c24
Autor:
Adina Kalet, Sondra Zabar, Demian Szyld, Steven D Yavner, Hyuksoon Song, Michael W Nick, Grace Ng, Martin V Pusic, Christine Denicola, Cary Blum, Kinga L Eliasz, Joey Nicholson, Thomas S Riles
Publikováno v:
Advances in Simulation, Vol 2, Iss 1, Pp 1-9 (2017)
Abstract Transitioning medical students are anxious about their readiness-for-internship, as are their residency program directors and teaching hospital leadership responsible for care quality and patient safety. A readiness-for-internship assessment
Externí odkaz:
https://doaj.org/article/63f77503bed741169cef8ad945858291
Autor:
Fei Chen, Celia Laird O’Brien, Maria A. Blanco, Kathryn N. Huggett, Donna B. Jeffe, Martin V. Pusic, Judith M. Brenner
Publikováno v:
Medical Education Online, Vol 29, Iss 1 (2024)
Introduction Addressing systemic bias in medical school assessment is an urgent task for medical education. This paper outlines recommendations on topic areas for further research on systemic bias, developed from a workshop discussion at the 2023 ann
Externí odkaz:
https://doaj.org/article/a0f4cdb957e8400083da8ad65d884a43
Autor:
Patricia A. Carney, Stefanie S. Sebok-Syer, Martin V. Pusic, Colleen C. Gillespie, Marjorie Westervelt, Mary Ellen J. Goldhamer
Publikováno v:
Medical Education Online, Vol 28, Iss 1 (2023)
ABSTRACTGraduate medical education (GME) and Clinical Competency Committees (CCC) have been evolving to monitor trainee progression using competency-based medical education principles and outcomes, though evidence suggests CCCs fall short of this goa
Externí odkaz:
https://doaj.org/article/394d39fd135f45c2a6f89ea62f71015a
Autor:
Martin V. Pusic, Elissa Hall, Heather Billings, Jeremy Branzetti, Laura R. Hopson, Linda Regan, Michael A. Gisondi, William B. Cutrer
Publikováno v:
Advances in Health Sciences Education. 27:1383-1400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9394228fe4923bb9fef87b6917aa30e8
https://doi.org/10.1007/s10459-022-10165-z
https://doi.org/10.1007/s10459-022-10165-z
Autor:
Martin V, Pusic, David A, Cook, Julie L, Friedman, Jeffrey D, Lorin, Barry P, Rosenzweig, Calvin K W, Tong, Silas, Smith, Matthew, Lineberry, Rose, Hatala
Publikováno v:
Academic Medicine. 98:88-97
Assessing expertise using psychometric models usually yields a measure of ability that is difficult to generalize to the complexity of diagnoses in clinical practice. However, using an item response modeling framework, it is possible to create a deci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::461a1b22dc9b9c0f354f7274fd70b305
https://doi.org/10.1097/acm.0000000000004918
https://doi.org/10.1097/acm.0000000000004918
Autor:
Martin V. Pusic, Robert J. Birnbaum, Brent Thoma, Stanley J. Hamstra, Rodrigo B. Cavalcanti, Eric J. Warm, Anna Janssen, Tim Shaw
Publikováno v:
Journal of Continuing Education in the Health Professions. 43:52-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389f959c069bb98b3eab4ca9ea56d37f
https://doi.org/10.1097/ceh.0000000000000444
https://doi.org/10.1097/ceh.0000000000000444
Autor:
Mary Ellen J. Goldhamer, Maria Martinez-Lage, W. Stephen Black-Schaffer, Jennifer T. Huang, John Patrick T. Co, Debra F. Weinstein, Martin V. Pusic
Publikováno v:
Journal of General Internal Medicine. 37:2280-2290
Assessing residents and clinical fellows is a high-stakes activity. Effective assessment is important throughout training so that identified areas of strength and weakness can guide educational planning to optimize outcomes. Assessment has historical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83d0845a34f8c0ef3b17197283de0a60
https://doi.org/10.1007/s11606-022-07515-3
https://doi.org/10.1007/s11606-022-07515-3
Publikováno v:
Perspectives on Medical Education. 11:104-107
None
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb9d312b42742c7685febb1beeef629
https://doi.org/10.1007/s40037-022-00703-1
https://doi.org/10.1007/s40037-022-00703-1
Autor:
Martin G. Tolsgaard, Martin V. Pusic, Stefanie S. Sebok-Syer, Brian Gin, Morten Bo Svendsen, Mark D. Syer, Ryan Brydges, Monica M. Cuddy, Christy K. Boscardin
The use of Artificial Intelligence (AI) in medical education has the potential to facilitate complicated tasks and improve efficiency. For example, AI could help automate assessment of written responses, or provide feedback on medical image interpret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::990378c0d9cbe34ec3daa6d4edea8f98
