基于物联网和区块链的癌症患者多感官家庭生活质量框架

Mohamed Abdur Rahman, Md Mamunur Rashid, S. Barnes, M. S. Hossain, Elham Hassanain, M. Guizani
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引用次数: 18

摘要

一旦被诊断出患有癌症,患者就会经历一系列的诊断和检查,这被称为癌症治疗后。由于治疗的性质和对日常生活方式的副作用,在家庭环境中保持生活质量是一项具有挑战性的任务。有时在家庭环境中,癌症患者的情况会突然改变,因为某些器官的功能会恶化,从而影响他们的生活质量。在本文中,我们提出了一个基于区块链和脱链的框架,该框架将允许多个医疗和环境智能物联网传感器从一个人的家庭环境中捕获生活质量信息,并安全地与感兴趣的社区共享。使用我们提出的框架,交易记录和多媒体大数据——包括用户的生理和精神状态——都可以与肿瘤科医生或姑息治疗单位共享,以提供实时决策支持。我们还开发了基于区块链的数据分析,这将使临床医生能够从家庭安全监控系统中可视化患者数据的不可变历史,以便更好地了解患者的当前或历史状态。我们进一步为不同的利益相关者设计了通用的肿瘤学家智能合约和数字钱包,以自动化特定患者的治疗计划。最后,我们将介绍我们目前的执行情况,这对进一步发展提供了很大的鼓励。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An IoT and Blockchain-Based Multi-Sensory In-Home Quality of Life Framework for Cancer Patients
Once a subject is diagnosed with cancer, a patient goes through a series of diagnosis and tests, referred to as after cancer treatment. Due to the nature of the treatment and side effects on regular lifestyles, maintaining quality of life in the home environment is a challenging task. Sometimes within a home environment, a cancer patient’s situation changes abruptly, as the functionality of certain organs deteriorate, which affects their quality of life. In this paper, we propose a Blockchain and off-chain based framework which will allow multiple medical and ambient intelligent IoT sensors to capture quality of life information from one’s home environment and securely share it with one’s community of interest. Using our proposed framework, both transactional records and multimedia big data – consisting of a user’s physiological as well as mental states – can be shared with an oncologist or palliative care unit for real-time decision support. We have also developed Blockchain-based data analytics, which will allow a clinician to visualize the immutable history of the patient’s data available from an in-home secure monitoring system for a better understanding of a patient’s current or historical states. We further designed a generic oncologist smart contract and digital wallet for different stakeholders to automate the treatment plan of a particular patient. Finally, we will present our current implementation status, which provides significant encouragement for further development.
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