Showing results (41-50 of 52) with videos related to

Sort By:
Pageof 6
Medical Teacher|October 18, 2018
Cognitive load theory for training health professionals in the workplace: A BEME review of studies among diverse professions: BEME Guide No. 53Justin L Sewell, Lauren A Maggio, Olle Ten Cate, et al.
Digestive Diseases and Sciences|November 24, 2016
Using Search Engine Query Data to Explore the Epidemiology of Common Gastrointestinal SymptomsBenjamin G Hassid, Lukejohn W Day, Mohannad A Awad, et al.
Urology Practice|August 1, 2023
Electronic Preconsultation as a Method of Quality Improvement for Urological ReferralsJames B McGeady, Sarah D Blaschko, Jonathan S Brajtbord, et al.
Diseases of the Colon and Rectum|May 5, 2016
A Novel Decision Aid for Surgical Patients with Ulcerative Colitis: Results of a Pilot StudyJessica N Cohan, Elissa M Ozanne, Justin L Sewell, et al.
Medical Science Educator|November 28, 2022
Pre-clerkship Teaching and Learning in the Virtual Learning Environment: Lessons Learned and Future DirectionsJustin L Sewell, Mihir Joshi, Cassandra Thanh, et al.
Autoimmunity|June 13, 2018
Race/ethnicity is an independent risk factor for autoimmune hepatitis among the San Francisco underservedBriton Lee, Edward W Holt, Robert J Wong, et al.
Advances in Health Sciences Education : Theory and Practice|May 26, 2021
Exploring the relationship between emotion and cognitive load types during patient handoversJohn Q Young, Krima Thakker, Majnu John, et al.
SAGE Open Medicine|March 29, 2017
Performance of a cognitive load inventory during simulated handoffs: Evidence for validityJohn Q Young, Christy K Boscardin, Savannah M van Dijk, et al.
Archives of Internal Medicine|June 22, 2002
The increasing incidence of coronary artery disease and cardiovascular risk factors among a Southwest Native American tribe: the White Mountain Apache Heart StudyJustin L Sewell, Beth R Malasky, Curtis L Gedney, et al.
BMC Primary Care|January 16, 2023
Development of eConsult reflective learning tools for healthcare providers: a pragmatic mixed methods approachDouglas Archibald, Rachel Grant, Delphine S Tuot, et al.
Pageof 6