Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Ilan Reinstein"'
1
Akademický článek
Mapping hospital data to characterize residents’ educational experiences
Autor: David W. Rhee, Ilan Reinstein, Morris Jrada, Jay Pendse, Patrick Cocks, David T. Stern, Daniel J. Sartori
Publikováno v: BMC Medical Education, Vol 22, Iss 1, Pp 1-6 (2022)
Abstract Background Experiential learning through patient care is fundamental to graduate medical education. Despite this, the actual content to which trainees are exposed in clinical practice is difficult to quantify and is poorly characterized. The
Externí odkaz: https://doaj.org/article/8f646685cff54b5f979926c0da6b4fab
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2
Akademický článek
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients
Autor: Narges Razavian, Vincent J. Major, Mukund Sudarshan, Jesse Burk-Rafel, Peter Stella, Hardev Randhawa, Seda Bilaloglu, Ji Chen, Vuthy Nguy, Walter Wang, Hao Zhang, Ilan Reinstein, David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Siddhant Dogra, Keerthi B. Harish, Brian Bosworth, Fritz Francois, Leora I. Horwitz, Rajesh Ranganath, Jonathan Austrian, Yindalon Aphinyanaphongs
Publikováno v: npj Digital Medicine, Vol 3, Iss 1, Pp 1-13 (2020)
Abstract The COVID-19 pandemic has challenged front-line clinical decision-making, leading to numerous published prognostic tools. However, few models have been prospectively validated and none report implementation in practice. Here, we use 3345 ret
Externí odkaz: https://doaj.org/article/24a1e6844b2b4deb962b0c15b73995db
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3
Identifying Meaningful Patterns of Internal Medicine Clerkship Grading Distributions: Application of Data Science Techniques Across 135 U.S. Medical Schools
Autor: Jesse Burk-Rafel, Ilan Reinstein, Yoon Soo Park
Publikováno v: Academic Medicine. 98:337-341
Residency program directors use clerkship grades for high-stakes selection decisions despite substantial variability in grading systems and distributions. The authors apply clustering techniques from data science to identify groups of schools for whi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee9e9cf653b2aa6c4cadadeee59fea7
https://doi.org/10.1097/acm.0000000000005044
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6
The 'Growth Instant Feedback Tool (GIFTool)' Workplace-Based Assessment of Entrustable Professional Activity Performance: Preliminary Evidence for Validity
Autor: Cynthia Osman, Chanda Bradshaw, Ilan Reinstein, Colleen Gillespie, Linda Tewksbury
Background Prior validity studies of workplace-based assessments for use with Entrustable Professional Activities have largely adopted a framework of supervision. We created a digital workplace-based assessment, the Growth-promoting Instant Feedback
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::993e36e8d90b24892ffc6bfab4f47240
https://doi.org/10.21203/rs.3.rs-2391574/v1
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7
Multi-level longitudinal learning curve regression models integrated with item difficulty metrics for deliberate practice of visual diagnosis: groundwork for adaptive learning
Autor: Jennifer Hill, Martin V. Pusic, Matthew Lineberry, Ilan Reinstein, David A. Cook
Publikováno v: Advances in Health Sciences Education. 26:881-912
Visual diagnosis of radiographs, histology and electrocardiograms lends itself to deliberate practice, facilitated by large online banks of cases. Which cases to supply to which learners in which order is still to be worked out, with there being cons
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049665706e1528cc544d62f5e9bff0be
https://doi.org/10.1007/s10459-021-10027-0
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8
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients
Autor: David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Fritz Francois, Ilan Reinstein, Brian P. Bosworth, Mukund Sudarshan, Walter Wang, Vincent J. Major, Hao Zhang, Siddhant Dogra, Ji Chen, Jesse Burk-Rafel, Narges Razavian, Yindalon Aphinyanaphongs, Hardev Randhawa, Leora I. Horwitz, Jonathan S. Austrian, Vuthy Nguy, Rajesh Ranganath, Seda Bilaloglu, Peter Stella, Keerthi B. Harish
Publikováno v: npj Digital Medicine, Vol 3, Iss 1, Pp 1-13 (2020)
NPJ Digital Medicine
npj Digital Medicine
The COVID-19 pandemic has challenged front-line clinical decision-making, leading to numerous published prognostic tools. However, few models have been prospectively validated and none report implementation in practice. Here, we use 3345 retrospectiv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8f2863845c258709070c3de3dc1baa4
https://doaj.org/article/24a1e6844b2b4deb962b0c15b73995db
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