Evaluation of the use of chatbots as simulated patients in capstone clinical pharmacy education: A pilot study

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Authors: Susan Hall, Gary Grant, Sarah Hussey, Brooke Harwood, Lisa Austin, Ellen Gospos
Cited by: 2
References: 22

Abstract

BACKGROUND: With the expanding scopes of practice of pharmacists throughout the world, the focus on delivering high quality, authentic tertiary clinical pharmacy education is an area of priority. One way to deliver an authentic learning experience to students is to utilise technology. Technology-enhanced learning has been shown to be beneficial in tertiary health education when it is introduced in a considered manner. Therefore, the aim of the current study was to evaluate the use and useability of Microsoft Power Virtual Agents as virtual patient chatbots. EDUCATIONAL ACTIVITY: To achieve this, Microsoft Power Virtual Agents was used to create virtual simulated patients for students to practice undertaking a Best Possible Medication History (BPMH). A pilot study was undertaken utilising a short electronic questionnaire asking participants to rate their experience using the virtual patient chatbot and provide qualitative feedback. EVALUATION FINDINGS: Overall, the virtual patient chatbots were well received by participants. The questionnaire responses indicated that participants found this learning activity to increase their engagement with the course, provided an authentic learning experience, and were easy to use. ANALYSIS OF EDUCATIONAL ACTIVITY: This pilot study demonstrates that virtual patient chatbots are a promising tool support clinical skill development and communication in capstone clinical pharmacy learning activities. Their use aligns with current trends in technology-enhanced learning and offers potential for broader application in health professional training.

Fields of Study & Subjects

AI in Service Interactions Digital Mental Health Interventions Simulation-Based Education in Healthcare

Publication details

Journal / source
Currents in Pharmacy Teaching and Learning
Publisher
Elsevier BV
Volume
18
Issue
5
Pages
102588–102588
Publication date
24 January 2026
Language
EN