Publications

Scholarly Work


Peer-reviewed research, book chapters, and academic contributions at the intersection of AI, healthcare, and health professions education.


Book

Book cover: Nursing Education in the AI Era

Nursing Education in the AI Era

Practical Guidance for Educators to Advance Equitable Care

Springer Nature, 2026

A rigorous, practice-oriented guide for health professions educators navigating the integration of artificial intelligence into nursing curricula and clinical training. Grounded in equity and the realities of the clinical environment, this book gives educators the frameworks they need to prepare graduates for an AI-saturated practice — without sacrificing the human judgment at the center of care.

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Selected Publications


2026

Book Chapter

Entrustment and Artificial Intelligence: A Framework for Clinical Decision Support

Springer Nature

Introduces the AI Discernment Framework as a model for determining when clinical AI tools can be trusted with consequential decisions.


2025

Journal Article

Algorithmic Bias in Clinical Practice: Implications for Health Professions Education

Journal of Nursing Education

Examines how training data inequities propagate into clinical AI tools and proposes curricular interventions for health professions programs.


2025

Journal Article

Teaching AI Literacy Across the Health Professions: A Scoping Review

Academic Medicine

A systematic review of AI literacy curricula across medicine, nursing, pharmacy, and allied health — identifying gaps and opportunities for interprofessional education.


2024

Journal Article

Governance Frameworks for Clinical AI: What Health Systems Need Before They Scale

Health Affairs

Proposes a governance architecture for health systems deploying AI in clinical settings, with attention to accountability, transparency, and ongoing human oversight.


2024

Journal Article

The Educator's Role in an AI-Saturated Clinical Environment

Nursing Outlook

Argues that health professions educators bear a professional obligation to prepare graduates for AI-assisted practice — and outlines what that preparation must include.


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