ENTRUST Assessment Platform

ENTRUST is a virtual patient case creation, simulation platform, and authoring tool to assess trainees’ decision-making competence. The concept, features, and functionality of ENTRUST was directed by Dr. Dana Lin and Dr. Cara Liebert at the Stanford University School of Medicine and the platform was developed in collaboration with a software engineering team led by Edward F. Melcer, PhD at the University of California, Santa Cruz. ENTRUST has been successfully used during for the COSECSA Membership of the College of Surgeons (MCS) Examination since 2022.

ENTRUST Training

The SELF program held an ENTRUST demonstration and training on Friday, January 5th at 7am PT led by Dr. Cara Liebert.

  • Zoom Recording
  • If you need help accessing the Zoom meeting or the meeting recording, please email megan@laurelstudio.me.

Access ENTRUST and Log-ins

Here are the links and logins you can use to view examples of cases we have developed for ENTRUST and to access the ENTRSUT SELF account. ENTRUST can be accessed on desktop, laptop, or tablet and the mobile phone optimization is in development.

  • Login to the ENTRUST Assessment Platform
    • COSECSA MCS Practice/Demo Cases
      Login: ENTRUSTCOSECSADEMO
      Password: 111111
    • UGHE Learning Cases
      Login: ughetest4
      Password: 444444
    • SELF Program (once cases/exams are authored)
      Login: SELFadmin
      Password: Intuitive2023!

If there is an internet disruption, the following message will be shown and you can select “resume” to continue the case. You may also get this message if multiple users are sharing the same login (i.e. “ENTRUSTCOSECSADEMO” or “ughetest4”) and the prior user exited the window before finishing the case. In this situation, select “cancel” and you will be taken to the beginning of the case. This will not occur for individual accounts with unshared usernames and passwords.

Key Resources

TitleAuthorsYearSummary
JACS: Correlation of Performance on ENTRUST and OSCE COSECSALiebert, et al.
2023A study demonstrating the feasibility and initial validity evidence for the use of ENTRUST in a high-stakes examination context for assessment of surgical decision-making.
ENTRUST: A Serious Game-Based Virtual Patient Platform to Assess Entrustable Professional Activities in Graduate Medical EducationLin, et al.2023Report of the preliminary feasibility data and validity evidence for the deployment and corresponding scoring algorithm for a case scenario of the Inguinal Hernia EPA.
JSE: Usability of ENTRUST as an Assessment Tool for EPAsLee, et al.2023A mixed-methods analysis of the usability of the ENTRUST platform s conducted at an academic institution in a proctored exam setting.
WSA: Usability of ENTRUST Platform for High-Stakes Assessment in COSECSALee, et al.2023Poster of 2023 APDS paper, presented at WSA.
JSE: ENTRUST Validity Evidence as Assessment of Surgical Decision-MakingLiebert, et al.
2022Prospective analysis of resident performance on the ENTRUST Inguinal Hernia EPA Assessment using bivariate analyses.

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