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