Artificial Intelligence in Digital Transformation of Pharmacy: Opportunities, Challenges, and Future Directions.

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Authors: Bhushan Ahire*, Sakshi Gaykar, Shivam Lale
Cited by: 0

Abstract

Artificial Intelligence (AI) is rapidly transforming the pharmaceutical industry, driving digital innovation in drug discovery, clinical trials, personalized therapies, and pharmacy operations. Traditional pharmaceutical approaches, though effective, are often lengthy, resource-intensive, and prone to human error. AI, using techniques such as machine learning, natural language processing, and predictive analytics, offers faster, more accurate, and cost-effective solutions [1,2]. This review discusses the importance of digital transformation in pharmacy, examines the shift from conventional methods to AI-based approaches, highlights benefits and challenges, and explores future directions. Despite its potential, AI adoption must overcome issues like data privacy, ethical concerns, and regulatory constraints [3,4]. Overall, AI holds promise for a more efficient, precise, and patient-centered pharmacy sector [5,6].

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence Applications Computational Drug Discovery Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026