Using Machine Learning to Evaluate Attending Feedback on Resident Performance-Reference-Cited by-同舟云学术

Using Machine Learning to Evaluate Attending Feedback on Resident Performance

Published:2020-12-09 Issue:2 Volume:132 Page:545-555
ISSN:0003-2999
Container-title:Anesthesia & Analgesia
language:en
Short-container-title:

Author:

Neves Sara E.,Chen Michael J.,Ku Cindy M.,Karan Suzanne,DiLorenzo Amy N.,Schell Randall M.,Lee Daniel E.,Diachun Carol Ann B.,Jones Stephanie B.,Mitchell John D.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

Reference17 articles.

1. Feedback in clinical medical education.;Ende;JAMA,1983

2. Internal medicine residents’ perspectives on receiving feedback in milestone format.;Angus;J Grad Med Educ,2015

3. Educational feedback in the operating room: a gap between resident and faculty perceptions.;Jensen;Am J Surg,2012

4. Residency faculty teaching evaluation: what do faculty, residents, and program directors want?;Myerholtz;Fam Med,2019

5. Focus on formative feedback.;Shute;Rev Educ Res,2008

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Large Language Models in Pediatric Education: Current Uses and Future Potential;Pediatrics;2024-08-07

2. Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study;JMIR Medical Education;2024-07-25

3. A scoping review of artificial intelligence in medical education: BEME Guide No. 84;Medical Teacher;2024-02-29

4. Assessing the ability of a large language model to score free text medical student notes (Preprint);2024-01-15

5. Artificial intelligence in anesthesiology;Artificial Intelligence in Clinical Practice;2024