A Pathway Toward AI and Digitalised Pharmacy

Artificial intelligence (AI) and digital technologies are transforming pharmacy from traditional, manual work into a fast, safe, and patient focused service. It traces the evolution of pharmacy through four main stages: ancient and empiric practices using natural remedies, the industrial era of mass-produced medicines, the patient care era where pharmacists became active healthcare partners, and the current digital era. Modern digital pharmacy uses tools like electronic health records, e prescriptions, automated dispensing, telepharmacy, mobile health apps, and cloud systems to improve accuracy, reduce errors, and make medicines more accessible. AI adds advanced capabilities such as analysing large datasets, predicting drug interactions, designing new medicines, and personalising patient care. AI supports every stage of the pharmaceutical process from drug discovery, preclinical research, and clinical trials to manufacturing, supply chain management, and post marketing safety monitoring. Companies and startups using AI for faster drug design, quality control, and patient engagement. Ethical issues such as privacy, bias, transparency, accountability, and equal access are discussed, along with the need for strong regulations and cybersecurity. The future of pharmacy is expected to be highly automated, with smart factories, digital twins, and AI driven precision medicine, but will still require human oversight to ensure safety and fairness. Overall, the topic shows that digitalisation and AI are not just improving efficiency they are reshaping pharmacy into a connected, data driven, and patient centred system that can deliver safer, faster, and more personalized healthcare worldwide.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17197952
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Pathway Toward AI and Digitalised Pharmacy

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

A Pathway Toward AI and Digitalised Pharmacy

article en

Abstract

Artificial intelligence (AI) and digital technologies are transforming pharmacy from traditional, manual work into a fast, safe, and patient focused service. It traces the evolution of pharmacy through four main stages: ancient and empiric practices using natural remedies, the industrial era of mass-produced medicines, the patient care era where pharmacists became active healthcare partners, and the current digital era. Modern digital pharmacy uses tools like electronic health records, e prescriptions, automated dispensing, telepharmacy, mobile health apps, and cloud systems to improve accuracy, reduce errors, and make medicines more accessible. AI adds advanced capabilities such as analysing large datasets, predicting drug interactions, designing new medicines, and personalising patient care. AI supports every stage of the pharmaceutical process from drug discovery, preclinical research, and clinical trials to manufacturing, supply chain management, and post marketing safety monitoring. Companies and startups using AI for faster drug design, quality control, and patient engagement. Ethical issues such as privacy, bias, transparency, accountability, and equal access are discussed, along with the need for strong regulations and cybersecurity. The future of pharmacy is expected to be highly automated, with smart factories, digital twins, and AI driven precision medicine, but will still require human oversight to ensure safety and fairness. Overall, the topic shows that digitalisation and AI are not just improving efficiency they are reshaping pharmacy into a connected, data driven, and patient centred system that can deliver safer, faster, and more personalized healthcare worldwide.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 27%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Pathway Toward AI and Digitalised Pharmacy · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS