Co-operative Models for Evidence-based Healthcare Redistribution (CoMEHeRe)

CoMEHeRe旨在通过使用和管理可穿戴设备创建的生物识别信息来改变个人医疗保健，使其受益。为此，CoMEHeRe将来自个人可穿戴设备的数据与DLT(区块链)和机器学习相结合，以安全地存储和访问数据，使个人能够共享并受益于他们生成的信息。将与州立和私营医疗保健提供者共享，以实现更有针对性的个性化治疗模式。通过将这些数据货币化而创造的新市场中的个人实质性参与可能会带来其他好处。最近人们对比特币等加密货币的兴趣点燃了人们对DLT的兴趣，以及它们在如何为当今数字经济中典型的各种生态系统和信息源定义、管理和演变共享协议方面所发挥的作用。事实上，人们关注的焦点已经从DLT作为支持比特币等新型货币的技术现象，转移到它们在不断变化的商业和社会中可能产生的影响。DLT有可能改写关于商业交易如何与客户相关的传统概念，提高透明度和信任，并为创造和获取价值创造新的机会。在医疗等领域，DLT颠覆现状的潜力是显而易见的。然而，必须解决一个关键的研究需求：如何暴露这场技术革命带来的新兴商业模式带来的机会和威胁，如隐私和安全。CoMEHeRe渴望建立和评估第一个公开可用的软件演示程序的可行性，以与保险公司(AXA/PPP及其种子工厂实验室将是合作伙伴)和普通公众交互，使用分布式分类帐技术允许个人选择对数据进行管理、托管和用作交易价值。为了实现这一目标，CoMEHeRe将利用一系列新颖的技术组合来解决一系列研究挑战，其中包括区块链-一种安全DLT的形式-来存储从用户的可穿戴设备和他们在环境中交互的物联网(IoT)传感器提取的多模式信号得出的健康证据。此外，该项目还将研究智能合同(简单程序)在研究、公共政策和个人层面的医疗保健管理中的潜在用途。这种使用将受到许多合同、伦理和道德问题的挑战：例如，如果所有权被剥夺，智能合同可以由当局或企业部分或完全自动执行、自我强制执行，或两者兼而有之，以寻求优化成本，而不是为个人的健康利益。CoMEHeRe项目是一个为期18个月的研究项目，旨在为DLT在医疗保健领域的创新应用创造价值。为了实施这一激动人心、雄心勃勃的项目，我们在萨里大学建立了多学科战略合作伙伴关系，将世界领先的研究小组团结在一起，专注于研究数字技术(代码)、多模式信号处理(CVSSP)、物联网和基于传感器的通信基础设施(ICS和5GIC)的应用对商业和社会的影响。这种伙伴关系包含在一个更广泛的交付联合体中。这包括提供应用环境和评估实际影响的基础的Axa/PPP，为研究工作提供DLT基础的Guardtime，以及提供机器学习平台专业知识的BioBeats。为了管理这项工作，将有一个经验丰富的咨询委员会，提供治理和指导，以确保项目提供有意义的结果，从中可以出现新的研究和实践。这一经验丰富的伙伴关系具有这些领域以往工作的实际记录，并建立了广泛的关系网，为研究成果提供了深度支持和快速推广。

CoMEHeRe aims to transform personal healthcare for the benefit of individuals through the use and management of biometric information created by wearable devices.To do this it will combine data from an individual's wearables with DLT (blockchains) and machine learning to securely store and access data to enable the individual to share and benefit from their generated information. Sharing will be with state and private healthcare providers to enable more targeted, personalised patterns of treatment. Other benefits may arise from the individual participating materially in new markets created through the monetisation of this data. Recent interest in cryptocurrencies such as Bitcoin has ignited interest in DLTs and the role they play in how shared agreements are defined, managed, and evolved for a variety of ecosystems and information sources typical of today's digital economy. Indeed, the focus of attention has shifted from DLT as a technological phenomena supporting new types of currency e.g., bitcoin to their likely impact in changing business and society. DLTs have the potential for rewriting conventional notions of how business transactions relate with customers, enhance transparency and trust, and create fresh opportunities for value creation and capture. In domains such as healthcare, the potential of DLTs to disrupt the status quo is clear. However, a critical research need must be addressed: how to expose the opportunities and threats, such as privacy and security from emerging business models enabled by this technological revolution.CoMEHeRe aspires to build and assess the feasibility of the first publicly available software demonstrator to interface with insurers (AXA/PPP and its Seed Factory labs will be a partner) and the general public, using distributed ledger technologies to allow for data to be curated, hosted, and used as tradeable value by the individual's' choice. To achieve this CoMEHeRe will address a number of research challenges by utilising a novel combination of technologies, including the blockchain - a form of secure DLT - to store health evidence derived from multi-modal signals extracted from users' wearables and the Internet of Things (IoT) sensors they interact with in the environment. In addition, the project will examine the potential use of Smart Contracts (simple programs) in healthcare management at the research, public policy, and individual levels. Such a use will be challenged by many kinds of contractual, ethical and moral issues: for example if ownership is taken away from the individual, smart contracts could be made partially or fully self-executing, self-enforcing, or both, by authorities or businesses seeking to optimise for cost instead of health benefit to the individual. The CoMEHeRe project is an 18 month research project designed to create value in an innovative application domain for DLT in healthcare. To undertake this exciting, ambitious project we build on a strategic multi-disciplinary partnership at the University of Surrey that unites world-leading research groups focused on examining the business and societal impact of applications of digital technology (CoDE), multi-modal signal processing (CVSSP), and IoT and sensor-based communications infrastructures (ICS and 5GIC). This partnership is contained within a broader delivery consortium. This includes Axa/PPP offering the application context and a basis for assessing practical impact, Guardtime providing a DLT foundation for the research work, and BioBeats delivering machine learning platform expertise. To govern this work there will be an experienced Advisory Board bringing governance and guidance to ensure the project delivers meaningful results from which new research and practice can emerge. This experienced partnership has a practical record of previous work in these areas, and a broad network of relationships bringing deep support, and rapid promotion of research results.