Institutions | About Us | Help | Gaeilge
rian logo


Mark
Go Back
Investigating a self-scoring interview simulation for learning and assessment in the medical consultation.
Bruen, Catherine; Kreiter, Clarence; Wade, Vincent; Pawlikowska, Teresa
<p>The original article is available at<a href="https://www.dovepress.com"> https://www.dovepress.com</a></p> <p>Experience with simulated patients supports undergraduate learning of medical consultation skills. Adaptive simulations are being introduced into this environment. The authors investigate whether it can underpin valid and reliable assessment by conducting a generalizability analysis using IT data analytics from the interaction of medical students (in psychiatry) with adaptive simulations to explore the feasibility of adaptive simulations for supporting automated learning and assessment. The generalizability (G) study was focused on two clinically relevant variables: clinical decision points and communication skills. While the G study on the communication skills score yielded low levels of true score variance, the results produced by the decision points, indicating clinical decision-making and confirming user knowledge of the process of the Calgary-Cambridge model of consultation, produced reliability levels similar to what might be expected with rater-based scoring. The findings indicate that adaptive simulations have potential as a teaching and assessment tool for medical consultations.</p>
Keyword(s): Medical education; simulation technology; competency assessment; generaliz-ability theory.; Computer Sciences; Education; Educational Technology; Medicine and Health Sciences
Publication Date:
2017
Type: Journal article
Peer-Reviewed: Yes
Institution: Royal College of Surgeons in Ireland
Citation(s): Bruen C, Kreiter C, Wade V, Pawlikowska T. Investigating a self-scoring interview simulation for learning and assessment in the medical consultation. Advances in Medical Education and Practice. 2018;8:353-358
Publisher(s): Dove Press
File Format(s): application/pdf
Related Link(s): https://epubs.rcsi.ie/mededart/11
First Indexed: 2018-12-13 07:15:02 Last Updated: 2018-12-13 07:15:02