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Application of Computer Vision to Automatic Prescription Verification in Pharmaceutical Mail Order

机译:计算机愿景在制药邮件订单中自动处方验证的应用

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In large volume pharmaceutical mail order, before shipping out prescriptions, licensed pharmacists ensure that the drug in the bottle matches the information provided in the patient prescription. Typically, the pharmacist has about 2 sec to complete the prescription verification process of one prescription. Performing about 1800 prescription verification per hour is tedious and can generate human errors as a result of visual and brain fatigue. Available automatic drug verification systems are limited to a single pill at a time. This is not suitable for large volume pharmaceutical mail order, where a prescription can have as many as 60 pills and where thousands of prescriptions are filled every day. In an attempt to reduce human fatigue, cost, and limit human error, the automatic prescription verification system (APVS) was invented to meet the need of large scale pharmaceutical mail order. This paper deals with the design and implementation of the first prototype online automatic prescription verification machine to perform the same task currently done by a pharmacist. The emphasis here is on the visual aspects of the machine. The system has been successfully tested on 43,000 prescriptions.
机译:在大批量制药邮件订单中,在发运处方之前,许可药剂师确保瓶中的药物与患者处方中提供的信息匹配。通常,药剂师有大约2秒,以完成一个处方的处方验证过程。每小时执行约1800处处方验证是乏味的,并且由于视觉和脑疲劳而产生人为错误。可用的自动药物验证系统一次仅限于单个丸。这不适合大型制药邮件命令,处方可具有多达60种药片,每天都有数千个处方填充。为了减少人类疲劳,成本和限制人为错误,发明了自动处方验证系统(APV)以满足大规模制药邮件命令的需求。本文涉及第一个原型在线自动处方验证机的设计和实施,以执行当前由药剂师完成的相同任务。这里的重点是机器的视觉方面。该系统已成功测试43,000个处方。

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