Zhao Zhuo, Wang Haozheng, Zhai Junyi, Wang Zheng
Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Front Pharmacol. 2025 Jul 25;16:1619916. doi: 10.3389/fphar.2025.1619916. eCollection 2025.
Medicines are a highly regulated category of commodities that demand strict oversight across their distribution chains and face numerous challenges in ensuring safety and authenticity. In response to concerns about counterfeit products, gray-market diversion, and pressures to protect public insurance funds, China has rapidly advanced a nationwide drug traceability policy, mandating unit-level digital identifiers and requiring point-of-dispensing scanning by 1 July 2025. However, given China's vast territory, substantial regional disparities, and complex healthcare infrastructure, this accelerated policy rollout has posed considerable challenges for frontline implementation, placing significant pressure on outpatient pharmacy operations. In high-volume tertiary hospitals, where prescription volumes are exceptionally large, the manual scanning of traceability codes has markedly increased dispensing times, prolonged patient waiting, and heightened pharmacist workloads, further complicated by inconsistent barcode placement and hardware limitations. To explore potential solutions, our team developed and evaluated a machine vision-based scanning prototype under laboratory conditions. The system demonstrated meaningful workflow improvements in simulated dispensing scenarios and holds promise for future validation and adaptation in real-world settings. Drawing on our experiences as frontline pharmacists, this study provides practical observations from a tertiary hospital in Northwestern China, examining dispensing processes before and after traceability code integration. We hope these findings contribute to international dialogue on pharmaceutical management, helping to advance medication safety, governance, and equitable access in healthcare systems worldwide.
药品是一类受到高度监管的商品,在其整个分销链中都需要严格监督,并且在确保安全性和真实性方面面临诸多挑战。针对对假冒产品、灰色市场转移以及保护公共保险基金压力的担忧,中国迅速推进了一项全国性的药品追溯政策,要求药品具有单位级数字标识符,并要求在2025年7月1日前在药品调配点进行扫描。然而,鉴于中国地域辽阔、地区差异巨大且医疗基础设施复杂,这一加速推进的政策实施给一线执行带来了巨大挑战,给门诊药房的运营带来了巨大压力。在处方量极大的大型三级医院,手动扫描追溯码显著增加了调配时间,延长了患者等待时间,增加了药剂师的工作量,而条形码位置不一致和硬件限制更是雪上加霜。为了探索潜在的解决方案,我们的团队在实验室条件下开发并评估了一种基于机器视觉的扫描原型。该系统在模拟调配场景中显示出有意义的工作流程改进,并有望在未来在实际环境中进行验证和调整。基于我们作为一线药剂师的经验,本研究提供了来自中国西北部一家三级医院的实际观察结果,考察了追溯码整合前后的调配过程。我们希望这些发现有助于促进关于药品管理的国际对话,推动全球医疗系统中的用药安全、治理和公平获取。