Title: AI and Clinical Training
Subtitle: Decision-Making, Competence, and Equity in the Health Professions
Subject Classification:  Artificial Intelligence, Healthcare, Education  
BIC Classification: UYQ, MBP, JN
BISAC Classification:
Binding: Hardback, eBook
Planned publication date: Mar 2027
ISBN (Hardback): 978-1-83711-790-1
ISBN (eBook): 978-1-83711-791-8

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Description

AI and Clinical Training examines how artificial intelligence is reshaping clinical judgment, competency development, and educational practice across the health sciences. As AI increasingly influences how clinicians document, diagnose, interpret data, and manage patient encounters, health professions educators must rethink how they prepare students for an AI-augmented future.

This book integrates theory, research, and applied case studies to analyze the opportunities and challenges that AI presents for clinical training. It explores how AI affects core areas of professional formation including decision-making, skill acquisition, ethical reasoning, supervision, cultural responsiveness, and assessment validity. Particular attention is given to how AI technologies may perpetuate or mitigate inequities affecting multilingual, multicultural, and underserved populations, drawing on examples from bilingual education, borderlands health, and community-engaged training pathways.

Topics include AI-generated standardized patients, automated scoring and feedback systems, predictive decision-support tools, generative documentation, algorithmic bias, and the implications of AI for accreditation and competency frameworks. Across these areas, the book emphasizes the ongoing need for human judgment, context-sensitive expertise, and culturally responsive training approaches in professional education.

Designed for educators, clinicians, supervisors, researchers, program directors, and accreditors, AI and Clinical Training offers a forward-looking framework for integrating AI responsibly and equitably in health professions education. It supports faculty and institutions in preparing the next generation of clinicians for ethical, human-centered practice in an evolving technological landscape.

Biography

Author(s):  Vannesa Mueller is Department Chair of Speech, Language, and Hearing Sciences at the University of Texas at El Paso, where her work focuses on clinical education, equity, and the responsible integration of AI in health professions training.

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