International Journal of Clinical Case Reports, 2025, Vol.15, No.4, 159-170 http://medscipublisher.com/index.php/ijccr 165 optimization of multi-drug management (McIntosh et al., 2018; Kardas et al., 2023). These experiences show that localization adjustment, teamwork and continuous evaluation are extremely crucial. 6.2 Current challenges and policy gaps faced by the management of ordinary pharmacies in China China faces obvious difficulties in managing multiple drugs, including the lack of a formal program, low participation of traditional Chinese pharmacists in primary care, and the absence of a standardized drug verification process. The application of clear standards and team collaboration methods is still insufficient. Medical staff need to enhance their awareness of the risks and management of combination drugs and receive training (Kurczewska-Michalak et al., 2021). Decentralized medical services and poor communication among medical staff further lead to inconsistent medication management and increase the risk of adverse outcomes (McIntosh et al., 2018). The policy deficiencies are reflected in the following aspects: the lack of national guidelines suitable for the actual situation of China's medical care, insufficient data on the effectiveness of existing measures, and weak support for systemic reform. These obstacles have limited the wide application of research-supported approaches and also affected efforts to establish long-term feasible solutions for elderly patients with multiple diseases (McIntosh et al., 2018; Kurczewska-Michalak et al., 2021). 6.3 Policy and institutional suggestions for promoting rational drug use among the Elderly To improve rational drug use, decision-makers should give priority to formulating and implementing national guidelines, which should include clear drug verification and prescription norms and be in line with local needs and resources. Strengthening teamwork-especially involving pharmacists in the primary care workforce-and providing continuous learning and training for all healthcare workers are indispensable steps (Kurczewska-Michalak et al., 2021). Investment in health information technologies, such as electronic health records and auxiliary diagnosis and treatment systems, can further enhance medication safety and coordination (Molokhia and Majeed, 2017; Maair et al., 2020). System change should also focus on creating a patient-centered care atmosphere, supporting co-decision-making, and ensuring regular assessment of program effectiveness through benchmarking and quality improvement measures. By solving these problems well, China and other countries can enhance drug safety, reduce medical expenses and improve the quality of life of elderly patients with multiple diseases (Maair et al., 2020; Kurczewska-Michalak et al., 2021; Kardas et al., 2023). 7 Future Research Directions and Development Trends 7.1 The potential of precision medicine and pharmacogenomics in geriatrics Individualized medical care and genetic medication guidance hold the promise of customizing medication plans based on individual genetic conditions, which may reduce drug side effects and improve treatment outcomes for elderly patients. Comprehensive examination of genes, proteins and metabolism helps to identify the specific risks of patients and guide more accurate drug selection, especially for complex cases with multiple diseases (Mehta et al., 2021). This method enables doctors to predict drug responses and improve multiple drug combinations, no longer relying on the old-fashioned "uniform standard" approach. However, the application of precision medicine to routine comprehensive medication management is still in its infancy. Future research should focus on establishing a complete clinical framework and collecting prospective data to verify whether pharmacogenomics guided prescriptions are effective in elderly people with multiple chronic diseases (Mehta et al., 2021). 7.2 Application of artificial intelligence and big data in multi-drug risk prediction Artificial intelligence (AI) and big data technologies are increasingly regarded as practical tools for identifying patterns, predicting dangers and assisting in multi-drug clinical decisions (Mehta et al., 2021). Ai-driven systems can handle massive amounts of electronic medical records, identify high-risk patients, predict harmful drug events, and recommend safer alternative drugs (Molokhia and Majeed, 2017). Big data means can discover medication
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