基于NFC标签的移动医疗患者医疗跟踪系统

Ogechi Ebere, V. Ramsurrun, Preetila Seeam, Panagiota Katsina, Sumit Anantwar, Mrinal Sharma, A. Seeam
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引用次数: 0

摘要

在世界各地的医院里,病人误诊是相当普遍的现象。这是一个任何人在任何时候都可能发生的错误,特别是在大流行危机期间,医院设施因越来越多的患者而不堪重负。该问题可能源于不正确的患者识别,即患者文件被错误标记或放置在不正确的患者档案中。医院及其员工有责任保证不发生此类错误。在这方面,近场通信(NFC)技术是一种短距离无线通信技术,被认为在帮助医院识别患者方面具有巨大的潜力。本文通过设计和开发一个患者医疗保健管理信息系统,展示了一个解决方案,该系统将NFC技术与web和移动技术无缝集成,为解决医院环境中患者误诊问题提供了一个整体解决方案,特别是在COVID-19等大流行期间。使用技术接受模型(TAM)作为评估方法,以便使用5个构造来量化所提议系统的可用性和接受度。结果显示接受系统的平均得分为4分,表明基于NFC标签的移动健康患者医疗保健跟踪系统被发现是有用的,易于使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NFC tag-based mHealth Patient Healthcare Tracking System
Patient misdiagnosis is quite a common occurrence in hospitals around the world. It is a mistake that can happen to anyone at any time, and especially during a pandemic crisis when hospital facilities are overwhelmed with increasing number of patients. This problem could stem from improper patient identification whereby patient files are mislabelled or placed in an incorrect patient dossier. It is the responsibility of a hospital and its employees to guarantee that such mistakes do not occur. With respect to this, near-field communication (NFC) technology, which is a short ranged wireless communication technology, has been identified to have great potential to help identify patients in hospitals.This paper demonstrates a solution by designing and developing a patient healthcare management information system that sees the seamless integration of the NFC technology along with and both web and mobile technologies,to provide a holistic solution to tackle the problem of patient misidentification in a hospital environment especially during pandemics such as COVID-19.The Technology Acceptance Model (TAM) was used as evaluation method in order to quantify the proposed systems’s usability and acceptance using 5 constructs. Results showed acceptance of the system with a mean score of 4, indicating that the NFC tag-based mHealth Patient Healthcare Tracking System was found to be useful and easy to use.
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