Artificial Intelligence as an Extension of Pharmaceutical Care
Artificial Intelligence (AI) has evolved from a futuristic concept into a transformative force in highly complex sectors.In health care, and more specifically in hospital pharmacy, its applications are shaping a new model of operation and care, redefining the boundaries of efficiency, safety, and personalization.Although discussions about AI often evoke images of robots replacing humans, the emerging reality is one of symbiosis, in which technology amplifies the pharmacist's strategic and clinical capacity, strengthening safety and efficiency throughout the entire medication cycle. 1,2 The initial impact of AI is felt at the operational core of hospital pharmacy, where supply chain management, traditionally reactive and prone to failures, is being transformed into a predictive model.Machine learning can analyze vast volumes of data to optimize inventory levels, considering factors such as historical demand, seasonal patterns, the epidemiological profile of diseases, and even external factors such as weather events or health crises.This not only prevents shortages of critical items that can jeopardize patient lives but also minimizes resource waste, reducing operating costs and the disposal of medications nearing expiration. 3Furthermore, this same analytical capacity extends to combating counterfeit and adulterated drugs.AI can assess product authenticity, trace their origin, and detect anomalies in the distribution chain, strengthening safety barriers before any suspicious product reaches the patient.Such operational optimization frees up financial resources and, crucially, time, allowing the pharmacy team to focus on its most vital and impactful function: direct patient care. 1,
Authors
- Luiz Cláudio Rodrigues Pereira da Silva (ORCID: https://orcid.org/0000-0002-6746-5756)
Publication Details
- Journal
- Journal of Hospital Pharmacy and Health Services
- Published
- 2025-09-30
- DOI
- https://doi.org/10.30968/jhphs.2025.163.1420
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00