Design for Automation System for Pharmaceutical Prescription Using Arduino and Optical Character Recognition

Myung-Jae Lim, D. Jung, Kyu-Dong Kim, Young-Man Kwon
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Abstract

Recent healthcare environments have characteristics of expanding the scope of healthcare-impacting healthcare, complexity resulting from diversification of components, and accelerating the pace of change. Drugs are used for the prevention, mitigation, and treatment of diseases, so they can inevitably cause harm, while they have efficacy and effectiveness, which are key elements of health recovery. Therefore, many countries regulate permits for safe and effective medicines, and also designate essential drugs directly related to life as pay targets and guarantee health insurance. Especially Pharmacist relying on manpower for composition medicine is liable for mal-manufacture due to combination of toxic medical substances or other chemical usage. In this paper, we focus on using Kiosk and Optical Character Recognition (OCR) for automated pharmacy to level up medical service and create labor friendly environment for pharmacist themselves through maintenance of prescription data and automated manufacturing solution. Presentation of drug substances and precautions will lead to efficient drug prescription and prevent misuse of information while auto manufacturing system efficiently maintain labor force and raise patient satisfaction level by reduction of waiting time.
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基于Arduino和光学字符识别的药品处方自动化系统设计
最近的医疗保健环境具有扩大医疗保健范围的特点-影响医疗保健,组件多样化导致的复杂性,以及加速变化的步伐。药物用于预防、缓解和治疗疾病,因此不可避免地会造成伤害,但它们具有功效和效果,这是健康恢复的关键要素。因此,许多国家对安全有效的药品实行许可证管理,并指定与生命直接相关的基本药物作为支付对象和保障健康保险。特别是依靠人工合成药品的药师,由于使用了有毒药品或其他化学药品,极易出现生产不当的情况。本文主要研究利用Kiosk和光学字符识别(OCR)技术在自动化药房中的应用,通过对处方数据的维护和自动化制造解决方案,提升医疗服务水平,为药师自身创造劳动友好环境。药品原料药和注意事项的显示将导致有效的药物处方,防止信息误用;汽车制造系统有效地维持劳动力,减少等待时间,提高患者满意度。
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