Responsible Use of Artificial Intelligence in Health Care: Evidence, Challenges, and Best Practices: An Opinion of the Drug Information Practice and Research Network of the American College of Clinical Pharmacy

ABSTRACT As artificial intelligence (AI) continues to rapidly reshape health care, there is a critical need for clear frameworks for clinicians to ensure ethical, equitable, and effective integration and use of AI in patient care. Key integrations of AI include enhancing health communications, patient engagement, clinicians' training, pharmaceutical advertising, clinical decision‐making, and automation of clinical operations and workflow. However, there are growing concerns related to regulatory gaps, the spread of misinformation, security threats, patient and data privacy leaks, and widening health disparities gaps. These concerns are exacerbated by limited institutional infrastructure and limited AI literacy of clinicians and patients. Recent policy developments reflect efforts to guide responsible AI development and use. While progress has been made, the lack of standardized human oversight remains a critical gap, particularly as policies may not fully consider the challenges and complexities at institutional, societal, technical, and individual levels. Thus, herein, the Drug Information Practice and Research Network (DI PRN) of the American College of Clinical Pharmacy (ACCP) : (1) explores current and emerging multifaceted challenges, a call to action, and opportunities of AI integration in health care including examination of the regulatory, ethical, operational, and health equity implications; and (2) provides practical recommendations for responsible use of AI through DI PRN‐developed example case‐based approaches and best practices infographics to enhance AI literacy for diverse learners including clinicians, trainees, and patients. This DI PRN opinion paper highlights the importance of proactive governance frameworks and equips and empowers diverse learners with practical AI literacy tools to confidently engage with AI technologies in patient care.

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Publication Details

Journal
JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
Published
2025-10-26
DOI
https://doi.org/10.1002/jac5.70131
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Responsible Use of Artificial Intelligence in Health Care: Evidence, Challenges, and Best Practices: An Opinion of the Drug Information Practice and Research Network of the American College of Clinical Pharmacy

Karen L. Kier, Miguel Segovia, Kelly M. Conn, Veera Raghavulu Bitra et al.
1 citations
JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
Artificial Intelligence in Healthcare and Education
0.65
article

Responsible Use of Artificial Intelligence in Health Care: Evidence, Challenges, and Best Practices: An Opinion of the Drug Information Practice and Research Network of the American College of Clinical Pharmacy

Karen L. Kier, Miguel Segovia, Kelly M. Conn, Veera Raghavulu Bitra, Faria Munir, Rena Gosser, Maha Saad, Micheline Andel Goldwire, Tomona Iso, Ashish Advani, Jennifer E. Stark, Matthew L. Blommel, Allison Bernknopf, Abdullah Alhammad, Daniel Abazia, Steven Theodore Johnson, Marina Sehman, Audrey B. Kostrzewa, Christine D. Sommer, Maha Abdalla, Jennifer Phillips, Krisy‐Ann Thornby, Daniel Majerczyk, Julie B. Sibbesen
article en
1 citations

Abstract

ABSTRACT As artificial intelligence (AI) continues to rapidly reshape health care, there is a critical need for clear frameworks for clinicians to ensure ethical, equitable, and effective integration and use of AI in patient care. Key integrations of AI include enhancing health communications, patient engagement, clinicians' training, pharmaceutical advertising, clinical decision‐making, and automation of clinical operations and workflow. However, there are growing concerns related to regulatory gaps, the spread of misinformation, security threats, patient and data privacy leaks, and widening health disparities gaps. These concerns are exacerbated by limited institutional infrastructure and limited AI literacy of clinicians and patients. Recent policy developments reflect efforts to guide responsible AI development and use. While progress has been made, the lack of standardized human oversight remains a critical gap, particularly as policies may not fully consider the challenges and complexities at institutional, societal, technical, and individual levels. Thus, herein, the Drug Information Practice and Research Network (DI PRN) of the American College of Clinical Pharmacy (ACCP) : (1) explores current and emerging multifaceted challenges, a call to action, and opportunities of AI integration in health care including examination of the regulatory, ethical, operational, and health equity implications; and (2) provides practical recommendations for responsible use of AI through DI PRN‐developed example case‐based approaches and best practices infographics to enhance AI literacy for diverse learners including clinicians, trainees, and patients. This DI PRN opinion paper highlights the importance of proactive governance frameworks and equips and empowers diverse learners with practical AI literacy tools to confidently engage with AI technologies in patient care.

JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACYVol. 8(12)
Roosevelt University (US), Rutgers, The State University of New Jersey (US), Concordia University Wisconsin (US), West Virginia University (US), Regis University (US), University of Wisconsin System (US), Mayo Clinic (US), St. John's University (US), Ohio Northern University (US), University of Botswana (BW), Ferris State University (US), University of Washington (US), Loma Linda University (US), West Health (US), King Saud University (SA), South College (US), University of Illinois Chicago (US), KDH Research & Communication (United States) (US), Veterans Health Care System of the Ozarks (US), Mayo Clinic in Arizona (US), First Data (United States) (US), Mayo Clinic in Florida (US), Palm Beach Atlantic University (US), St. John Fisher University (US)
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
0.65
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