System Development for Patient's Physiological Data Storage and Real-Time Vital Signs Monitoring

Chin-Dar Tseng, Jia-Hong Su, Tsair-Fwu Lee
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Abstract

The purpose of this study is to improve the measurement of patient physiological data and the efficiency of data entry. Errors associated with data entry are usually caused by human error. This study also reduces the risk of cross-infection between nurses and patients. The automation of medical information is the goal of future development. The medical policy decision is to be gradually automated. The quality of treatment can be improved by providing medical knowledge to the patients and evaluating relevant medical information. In this study, we integrate five different modules in physiology or medicine used to measure physiological monitoring and the measurement platform. We also use RFID to search and input patient data and medical record numbers instead of doing it manually. The measurement efficiency of patients rose by up to 30%. This study demonstrates the physiological monitoring and measurement platform which can improve the care of patients in the caregiver's measurement of the physiological information and reduce the human input process errors.
患者生理数据存储与实时生命体征监测系统开发
本研究旨在改善患者生理数据的测量及数据录入的效率。与数据输入相关的错误通常是由人为错误引起的。这项研究也减少了护士和病人之间交叉感染的风险。医疗信息的自动化是未来发展的目标。医疗政策的决定将逐步实现自动化。通过向患者提供医学知识和评估相关医学信息,可以提高治疗质量。在这项研究中,我们整合了生理或医学上五个不同的模块,用于测量生理监测和测量平台。我们还使用RFID来搜索和输入患者数据和医疗记录号码,而不是手动操作。患者的测量效率提高了30%。本研究论证了该生理监测测量平台可以提高护理人员对患者生理信息的测量,减少人为输入过程中的错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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