用于实验室报告分析和药品鉴定的移动医疗助理系统

Deshani Warnakulasuriya, Tharushi Dewangi, Navodya Sewwandi, Minoli Rathnayake, N. Kodagoda, Kushanra Suriyawansha
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引用次数: 0

摘要

医疗药品和处方被医院和在给病人配药后被错认是很常见的。医疗药品的误认在老年人和视障患者中更为常见。在医院组织中,主要的医疗错误是药物不良事件。患者面临的另一个最常见的问题是跟踪医学实验室报告。我们提出的移动医疗助理系统使用图像处理来识别有或没有包装的药物,识别处方和医学实验室报告。此外,移动应用程序将识别医学实验室报告的趋势,并使用机器学习预测患者下个月的医学实验室报告结果。
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Mobile Medical Assistant System for Laboratory Report Analysis and Medical Drug Identification
It is quite common for medical drugs and prescriptions to be misidentified by hospitals and after drugs are being dispensed to the patients. Misidentification of medical drugs is more common among elderly and visually impaired patients. In hospital organizations, the leading medical error is adverse drug events. Another most common issue patients face is keeping track of medical lab reports. Our proposed mobile medical assistant system uses image processing to identify drugs with or without packaging, identifying prescription and medical lab reports. Furthermore, the mobile application will identify the trends of medical lab reports and predict next month’s results of the medical lab report of the patient using machine learning.
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