AI in Pharmacy Shaping the Future of Pharmacists

Artificial Intelligence (AI) is redefining healthcare delivery, with pharmacy emerging as a key area of transformation. From drug discovery and supply chain management to patient counselling and medication safety, AI systems are reshaping pharmacists’ roles. This article examines AI’s current applications in pharmacy, its future potential, and its implications for the profession. The discussion draws upon The AI Pharmacist: Innovations in Pharmacy Practice peer-reviewed studies, and case examples from global health systems. AI technologies such as machine learning, natural language processing, robotics, and predictive analytics are evaluated for their ability to enhance efficiency, accuracy, and patient outcomes. Ethical, legal, and social considerations are addressed, alongside the challenges of implementation in resource-constrained settings. Ultimately, this paper argues that AI should be viewed as a collaborative tool that empowers pharmacists to transition from manual dispensing to higher-order clinical decision-making, therebystrengthening patient-centred care in the digital era.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-17
DOI
https://doi.org/10.5281/zenodo.16889259
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in Pharmacy Shaping the Future of Pharmacists

Zenodo (CERN European Organization for Nuclear Research)
Prenatal Screening and Diagnostics
article

AI in Pharmacy Shaping the Future of Pharmacists

article en

Abstract

Artificial Intelligence (AI) is redefining healthcare delivery, with pharmacy emerging as a key area of transformation. From drug discovery and supply chain management to patient counselling and medication safety, AI systems are reshaping pharmacists’ roles. This article examines AI’s current applications in pharmacy, its future potential, and its implications for the profession. The discussion draws upon The AI Pharmacist: Innovations in Pharmacy Practice peer-reviewed studies, and case examples from global health systems. AI technologies such as machine learning, natural language processing, robotics, and predictive analytics are evaluated for their ability to enhance efficiency, accuracy, and patient outcomes. Ethical, legal, and social considerations are addressed, alongside the challenges of implementation in resource-constrained settings. Ultimately, this paper argues that AI should be viewed as a collaborative tool that empowers pharmacists to transition from manual dispensing to higher-order clinical decision-making, therebystrengthening patient-centred care in the digital era.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 35%
Prenatal Screening and Diagnostics
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