基于区块链的医院急救系统患者管理形式化建模

Tayyaba Naseer Khan, N. Zafar
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引用次数: 1

摘要

急诊科是医院系统的基本组成部分,提供医疗服务和重症监护,专门从事患者的紧急护理。在急诊科,病人不需要预约就可以接受治疗。大多数传统的医院应急管理系统使用效率低下的人工记录管理程序,可能导致严重的问题。具体来说,一个失败的应急服务系统可能会导致生命损失,这需要现代技术来开发智能卫生应急系统。在这方面还有很多工作要做,但仍然需要利用最先进的技术进行许多改进。因此,本文通过整合物联网(IoT)、统一建模语言(UML)和形式化方法,提出了基于区块链的医院急救系统患者管理形式化模型。急诊病人管理系统功能包括病人登记、付款和病人出院模块。在软件开发中,UML是一种标准化的建模语言,用于全面地描绘软件系统需求的模型。物联网医疗设备用于跟踪患者的健康状况,并雇用参与者根据指定做出决策。基于区块链的模型提供了系统安全和隐私机制,并防止了记录的更改。使用数学模型的正式方法将用于验证和模型分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain Based Formal Modelling of Patient Management in Hospital Emergency System
an emergency department is a fundamental part of hospital systems providing medical treatment services and critical care that specializes in emergency care of patients. In the emergency department, patients are treated without an appointment. Most of the traditional hospital emergency management systems utilize inefficient manual record management procedures that may lead to serious problems. Specifically, a failed emergency services system may result in loss of lives which need modern technologies for developing smart health emergency systems. There exists a lot of work in this area but still, it needs many improvements making use of the state-of-the-art technologies. Therefore, in the present paper blockchain-based formal model of patient management in a hospital emergency system is proposed by integrating the Internet of Things (IoT), Unified Modelling Language (UML), and formal methods. Emergency patient management system functionality includes patient registration, payments, and patient discharge modules. In software development, UML is a standardized modelling language that is used to portray the model of a software system requirement comprehensively. IoT healthcare devices are utilized to track a patient’s health condition and actors are employed to take decisions as specified. The blockchain-based model offered system security and privacy mechanism additionally preventing alteration of the record. Formal methods using mathematical models will be applied for validation and model analysis.
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