Hospital pharmacy is a comprehensive discipline that primarily operates in the hospital setting, centered on patients and grounded in pharmaceuticals. It integrates professional pharmaceutical knowledge with clinical practice to ensure rational medication use, enhance therapeutic effect of drugs, and reduce medication risks. Large language model (LLM) is advanced artificial intelligence algorithms trained on extensive datasets. The deep integration of LLM with hospital pharmaceutical care can maximize the quality and efficiency of pharmaceutical care, accelerating the rapid development of the pharmacy discipline. This paper summarizes the applications of LLM in various areas of hospital pharmacy services, including drug supply assurance, pharmaceutical care, pharmacy administration, pharmaceutical research, and pharmacy education. It also analyzes the risks and challenges faced by LLM in the field of hospital pharmacy and proposes development recommendations in the field of hospital pharmacy, with the aim of providing patients with personalized, diversified, precise, and high-quality intelligent pharmaceutical care.