It has been 13 years since Beijing launched community prescription review, and the prescription qualification rate has increased from the initial 67% to 96%. Liu Qinghua, director of the Department of Pharmacy and Equipment of the Beijing Municipal Commission of Health, said that the quality of pharmaceutical services at the grass-roots level has continued to improve and is currently exploring ways to further improve the quality of community pharmaceutical services through "pre audit". Li Dachuan, Deputy Director of the Medical Affairs Department of the National Health Commission, stated that the public's demand for pharmaceutical services is constantly increasing. For example, the aging population has led to an increase in comorbidity of multiple diseases. New topics such as correct drug selection and monitoring of drug use effectiveness have emerged, requiring medical institutions to further improve their service capabilities while providing sufficient pharmaceutical services. So, what is the overall level of pharmaceutical services in China at present? How to meet the needs of the people for pharmaceutical services and further improve the quality of pharmaceutical services? The quality of pharmaceutical services still needs to be improved. Elderly people with multiple diseases may "take more medicine than eat" every day, which may be exaggerated. However, this poses new requirements for pharmaceutical professionals. Can we help them reduce their medication dosage without reducing the efficacy? Liu Qinghua said that pharmaceutical services still have a lot of room for expansion. "Pharmaceutical service is far from the basic work of taking, dispensing and trying not to deliver wrong drugs." Liu Qinghua said that whether the current pharmaceutical service can put forward a qualified restructuring plan and prove that the plan is feasible with convincing evidence are all requirements for high-quality pharmaceutical services. Our research on the amount of chronic disease drugs used shows that grassroots institutions have surpassed tertiary medical institutions, which indirectly demonstrates the importance of community pharmacy services. "Nie Xiaoyan, Deputy Director of the Department of Pharmacy Management and Clinical Pharmacy at Peking University, said that multiple studies at home and abroad have shown that community pharmacy services can optimize medical service outcomes, improve patient quality of life Optimizing the overall utilization of health resources has enormous value. However, currently, there is still a large proportion of inappropriate prescriptions in grassroots prescriptions in China. In terms of the use of traditional Chinese medicine, pharmaceutical services face greater challenges. Nie Xiaoyan introduced that relevant investigations and studies have shown that due to patients prescribing drugs in different hospitals and departments, there is a high proportion of cases such as repeated use and compatibility contraindications, especially the repeated use of some special component drugs, which poses great health risks. How can AI assist in intercepting unreasonable prescriptions improve the quality of drug prescriptions and avoid the issuance of unreasonable prescriptions? The biggest challenge is the lack of experienced and high-level prescription reviewers, making it difficult to check prescriptions one by one. Improper prescription is mainly caused by two issues: unsuitable indications and improper usage and dosage. "Yan Yingying, a staff member from the Pharmacy Department of Peking University Third Hospital, said that the development of artificial intelligence modules can effectively compensate for these two problems. In order to equip artificial intelligence with the "thinking" and judgment of prescription reviewers, under the guidance of the Haidian District Health Commission in Beijing, Peking University Third Hospital collaborated with JD Health to integrate pharmaceutical knowledge into the prescription review rules of artificial intelligence. Yan Yingying introduced that the three major modules of artificial intelligence include extracting prescription rules based on pharmaceutical knowledge graphs, and