A REVIEW OF THE OPERATIONAL ADVANCEMENTS DRIVEN BY DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN PHARMACY SERVICES

The digital transformation of pharmacy services is rapidly reshaping operational workflows and clinical responsibilities through the adoption of advanced technologies and artificial intelligence (AI). Earlier reliance on manual processes such as handwritten prescriptions, paper-based documentation and in person communication often contributed to delays, inefficiencies and preventable medication errors. The introduction of electronic health records, E prescribing platforms, barcode medication verification and automated dispensing systems has significantly strengthened accuracy, traceability and medication safety. Building on these foundations, AI driven tools including machine learning algorithms, predictive analytics and intelligent clinical decision support systems are now augmenting pharmacist’s ability to detect drug interactions, forecast medication related risks and optimize therapeutic regimens. Simultaneously, telepharmacy, mobile health applications and wearable devices are improving access to care, promoting adherence and supporting continuous monitoring, particularly for patients in remote or underserved areas. These innovations enable pharmacists to assume expanded clinical roles in chronic disease management, counseling and preventive care. Looking ahead, advancements in robotics, precision medicine and next generation AI platforms are expected to further enhance automation, streamline supply chains and enable highly individualized treatment approaches.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-05
DOI
https://doi.org/10.5281/zenodo.18150569
Primary Topic
Pharmaceutical Quality and Counterfeiting
Type
article
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article

A REVIEW OF THE OPERATIONAL ADVANCEMENTS DRIVEN BY DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN PHARMACY SERVICES

Viswakanth Makutam*
Zenodo (CERN European Organization for Nuclear Research)
Pharmaceutical Quality and Counterfeiting
article

A REVIEW OF THE OPERATIONAL ADVANCEMENTS DRIVEN BY DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN PHARMACY SERVICES

Viswakanth Makutam*
article en

Abstract

The digital transformation of pharmacy services is rapidly reshaping operational workflows and clinical responsibilities through the adoption of advanced technologies and artificial intelligence (AI). Earlier reliance on manual processes such as handwritten prescriptions, paper-based documentation and in person communication often contributed to delays, inefficiencies and preventable medication errors. The introduction of electronic health records, E prescribing platforms, barcode medication verification and automated dispensing systems has significantly strengthened accuracy, traceability and medication safety. Building on these foundations, AI driven tools including machine learning algorithms, predictive analytics and intelligent clinical decision support systems are now augmenting pharmacist’s ability to detect drug interactions, forecast medication related risks and optimize therapeutic regimens. Simultaneously, telepharmacy, mobile health applications and wearable devices are improving access to care, promoting adherence and supporting continuous monitoring, particularly for patients in remote or underserved areas. These innovations enable pharmacists to assume expanded clinical roles in chronic disease management, counseling and preventive care. Looking ahead, advancements in robotics, precision medicine and next generation AI platforms are expected to further enhance automation, streamline supply chains and enable highly individualized treatment approaches.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 96%
Pharmaceutical Quality and Counterfeiting
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A REVIEW OF THE OPERATIONAL ADVANCEMENTS DRIVEN BY DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN PHARMACY SERVICES — Viswakanth Makutam* · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS