Technology optimization for patient safety: a blockchain-based anesthesia record system architecture

Roberto Orofino Giambastiani, Rodrigo Sáenz, Guido Lahitte, Juan-Carlos Umaran
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Abstract

Patient safety is acknowledged as a primary aim of anesthesiology. Anesthesia records constitute the main document of the intraoperative course of anesthesia administration. In this paper, we postulate that anesthesia record systems should be based on an integral tamper-proof design and provide specific technology characteristics to ensure data immutability, accessibility and transparency. Issues and limitations regarding current anesthesia record technologies are reviewed. We introduce a novel anesthesia record system designed for patient safety optimization which integrates dedicated hardware, blockchain technology and decentralized storage solutions. We propose an oracle network in which anesthesiologists run independent Sybil-resistant nodes which broadcast biosensor time series to decentralized storage systems and generate proofs of existence on public blockchains. Records are biometrically signed and incorporate information on the temporo-spatial relation between the anesthetized patient and the professional in charge through a unique personal-transponder wearable device. Compatibility for data science and machine learning implementation are discussed. Finally, we evaluate future impact and technological potential.
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促进患者安全的技术优化:基于区块链的麻醉记录系统架构
患者安全是麻醉学的首要目标。麻醉记录是术中麻醉过程的主要文件。在本文中,我们假设麻醉记录系统应基于整体防篡改设计,并提供特定的技术特征,以确保数据的不变性、可访问性和透明度。本文回顾了当前麻醉记录技术存在的问题和局限性。我们介绍了一种为优化患者安全而设计的新型麻醉记录系统,该系统集成了专用硬件、区块链技术和去中心化存储解决方案。我们提出了一个甲骨文网络,在该网络中,麻醉医师运行独立的抗假冒伪劣节点,将生物传感器时间序列广播到分散存储系统,并在公共区块链上生成存在证明。记录经生物特征签名,并通过独特的个人应答器可穿戴设备纳入麻醉患者与专业负责人之间的时空关系信息。我们还讨论了数据科学和机器学习实施的兼容性。最后,我们对未来的影响和技术潜力进行了评估。
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