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Updated: Feb 23, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Published on: July 11, 2025

Are Pharmacy Programs Obligated to Train Students to Use AI for Clinical Practice?

Angela K Nagel¹, Edgar Diaz-Cruz², Krystal L Edwards³

¹St. John Fisher University, Wegmans School of Pharmacy, Department of Pharmacy Practice and Administration, Rochester, NY, USA.

American Journal of Pharmaceutical Education

|February 21, 2026

Summary

Pharmacy schools face a growing obligation to train students in artificial intelligence (AI) tools for clinical practice. This involves balancing AI

Keywords:

Artificial intelligence Clinical practice Debate Pharmacy education

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Last Updated: Feb 23, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Pharmacy Education
Health Informatics
Artificial Intelligence in Healthcare

Background:

The integration of artificial intelligence (AI) into clinical practice is rapidly advancing.
Pharmacy education is increasingly scrutinized regarding its role in preparing students for AI-driven healthcare.
The evolving landscape of AI platforms necessitates a re-evaluation of educational responsibilities.

Purpose of the Study:

To explore the obligation of pharmacy schools to train students in artificial intelligence (AI) tools for clinical practice.
To evaluate the potential benefits and risks of integrating AI into pharmacy education.
To facilitate a structured debate on AI in pharmacy education.

Main Methods:

Collaborative efforts of two Academic Leadership Fellows Program groups.
Structured debate exploring viewpoints on AI in pharmacy education.
Discussion held at the American Association of Colleges of Pharmacy Interim Meeting in February 2024.

Main Results:

Exploration of both the advantages of AI in advancing clinical practice.
Consideration of the risks associated with AI integration into pharmacy curricula.
Identification of key areas for discussion regarding AI competencies in pharmacy.

Conclusions:

Pharmacy schools must carefully consider their role in educating students on AI tools.
A balanced approach is needed to harness AI benefits while mitigating educational risks.
Ongoing dialogue is crucial for adapting pharmacy education to technological advancements.