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

CoMEHeRe旨在通过使用和管理可穿戴设备产生的生物识别信息，改变个人医疗保健，造福个人。为此，它将把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，使个人能够分享并从他们生成的信息中受益。将与国家和私人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。其他好处可能来自个人实质性地参与通过这些数据货币化创造的新市场。最近对比特币等加密货币的兴趣激发了人们对dlt的兴趣，以及它们在当今数字经济典型的各种生态系统和信息源中如何定义、管理和发展共享协议方面所发挥的作用。事实上，关注的焦点已经从DLT作为一种支持新型货币（如比特币）的技术现象转移到它们对改变商业和社会的可能影响。dlt有可能改写商业交易与客户关系的传统观念，提高透明度和信任，并为价值创造和获取创造新的机会。在医疗保健等领域，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：如何暴露这种技术革命带来的新兴商业模式带来的机遇和威胁，例如隐私和安全。CoMEHeRe希望建立并评估第一个公开可用的软件演示器的可行性，该演示器将与保险公司（AXA/PPP及其种子工厂实验室将成为合作伙伴）和公众进行交互，使用分布式账本技术，允许个人选择将数据作为可交易价值进行管理、托管和使用。为了实现这一目标，CoMEHeRe将利用一种新的技术组合来解决一些研究挑战，包括区块链（一种安全的DLT形式），用于存储从用户可穿戴设备和物联网（IoT）传感器中提取的多模态信号中提取的健康证据。此外，该项目将研究智能合约（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类型的合同、伦理和道德问题的挑战：例如，如果所有权从个人手中夺走，智能合约可以部分或完全自动执行、自我执行，或两者兼而有之，由当局或企业寻求优化成本，而不是对个人的健康效益。CoMEHeRe项目是一个为期18个月的研究项目，旨在为医疗保健领域的DLT创新应用领域创造价值。为了开展这一激动人心、雄心勃勃的项目，我们在萨里大学建立了战略多学科合作伙伴关系，联合世界领先的研究小组，专注于研究数字技术（CoDE）、多模态信号处理（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盟中。这包括Axa/PPP提供应用环境和评估实际影响的基础，Guardtime为研究工作提供DLT基础，BioBeats提供机器学习平台专业知识。为了管理这项工作，将有一个经验丰富的顾问委员会提供管理和指导，以确保项目提供有意义的结果，从而可以产生新的研究和实践。这一经验丰富的伙伴关系在这些领域具有以往工作的实际记录，并拥有广泛的关系网络，为研究成果提供了深入支持和迅速推广。

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.