Showing 1 - 4 of 4 Research Library Publications

Medical Student Experiences With Accessing and Entering Patient Information in Electronic Health Records During The Obstetrics-Gynecology Clerkship

Posted: | M. M. Hammoud, L. M.Foster, M. M.Cuddy, D. B. Swanson, P. M. Wallach

American Journal of Obstetrics and Gynecology, Volume 223, Issue 3, Pages 435.e1-435.e6

 

The purpose of this study was to examine medical student reporting of electronic health record use during the obstetrics and gynecology clerkship.

Category:Health Professions

Electronic Health Record Use in Internal Medicine Clerkships and Sub-internships for Medical Students Graduating from 2012 to 2016

Posted: | P. M. Wallach L. M. Foster, M. M. Cuddy, M. M. Hammoud, K. Z. Holtzman, D. B. Swanson

J Gen Intern Med 34, 705–711 (2019)

 

This study examines medical student accounts of EHR use during their internal medicine (IM) clerkships and sub-internships during a 5-year time period prior to the new clinical documentation guidelines.

Category:Health Professions

Medical Student Use of Electronic and Paper Health Records During Inpatient Clinical Clerkships: Results of a National Longitudinal Study

Posted: | L. M. Foster, M. M. Cuddy, D. B. Swanson, K. Z. Holtzman, M. M. Hammoud, P. M. Wallach

Academic Medicine: November 2018 - Volume 93 - Issue 11S - p S14-S20

 

An important goal of medical education is to teach students to use an electronic health record (EHR) safely and effectively. The purpose of this study is to examine medical student accounts of EHR use during their core inpatient clinical clerkships using a national sample. Paper health records (PHRs) are similarly examined.

Category:Health Professions

Automated Item Generation with Recurrent Neural Networks

Posted: | M. von Davier

Psychometrika 83, 847–857 (2018)

 

Utilizing algorithms to generate items in educational and psychological testing is an active area of research for obvious reasons: Test items are predominantly written by humans, in most cases by content experts who represent a limited and potentially costly resource. Using algorithms instead has the appeal to provide an unlimited resource for this crucial part of assessment development.

Category:Assessment-Oriented Research, Applications of Technology