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@article{196230,
        author = {Mr.Shaikh Rehan Sirajuddin and Mr. Shaikh Mustakim Mansur and Mr. Khan Usama and Ms. Trupti D. Shetane and Ms.Priya Jaware and Dr. Santosh Payghan},
        title = {A Review on Comparative Analysis ofTraditional Pharmacy vs AI in Pharmacy},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2467-2474},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196230},
        abstract = {Pharmacy has evolved from traditional practices to AI-driven approaches. Traditional pharmacy depends on human expertise, while AI enhances speed, accuracy, and efficiency in drug discovery, formulation, and patient care. This review compares both approaches, highlighting benefits, limitations, and the need for integration.
The practice of pharmacy has traditionally been grounded in human expertise, professional judgment, and established methodologies for drug development, formulation, and patient care. Over time, these conventional approaches have ensured safety and therapeutic effectiveness, but they are often associated with limitations such as longer development timelines, higher costs, and the possibility of human error. With the rapid advancement of technology, artificial intelligence (AI) has emerged as a transformative force in pharmaceutical sciences, introducing data-driven and automated solutions across various domains.
This review explores the key differences between traditional pharmacy practices and AI-based approaches, focusing on areas such as drug discovery, formulation development, clinical decision-making, pharmacovigilance, and supply chain management. AI techniques, including machine learning and predictive modeling, have shown considerable potential in accelerating research processes, improving accuracy, and optimizing healthcare outcomes. However, despite these advantages, challenges such as data dependency, ethical concerns, lack of transparency, and regulatory complexities remain significant.
In contrast, traditional pharmacy continues to play an essential role by offering critical thinking, ethical oversight, and personalized patient interaction, which are difficult to replicate through automated systems. Therefore, rather than viewing AI as a replacement, it is more appropriate to consider it as a complementary tool that enhances existing practices.
This review highlights the strengths and limitations of both traditional and AI-driven pharmacy, emphasizing the importance of integrating technological advancements with human expertise to achieve a more efficient, accurate, and patient-centered healthcare system.},
        keywords = {Traditional Pharmacy, Artificial Intelligence, Drug Discovery, Machine Learning, Clinical Pharmacy, Pharmacovigilance},
        month = {April},
        }