元宇宙与数字医疗的深度融合正在改变健康数据的基本形态。传统电子健康记录作为离散化、事件驱动的“固态记录”，正演变为持续生成、跨平台流动、由算法不断重构的“数字生命流”。这一本体论变革对既有数据治理框架构成根本性挑战：一方面，数据的高度流动性使得传统基于明确边界的隐私保护机制失效；另一方面，大型平台通过技术标准、协议与硬件垄断对流动数据进行“再疆域化”，形成了从软件层到硬件层的新型权力结构。本文以“液态化”与“ 再疆域化 ”为核心分析框架，系统考察元宇宙健康数据治理的结构性困境。研究提出3个核心问题：（1）数字生命流如何改变数据治理的基本前提？（2）液态化与再疆域化的辩证关系如何塑造数据权力结构？（3）面对这一双重运动，新的治理范式应如何构建？通过从权力分配、 经济公平、价值抉择、责任归属、数字主权 5个维度批判性分析技术解决方案（联邦学习、零知识证明、可信执行环境）、法律监管模式（GDPR、HIPAA）与市场自我调节机制的局限性，本文揭示单一治理模式难以应对高度动态的数据生态。在此基础上，本文提出一种关系型数据治理范式，并构建由微观技术架构（默认隐私保护、互操作标准、可解释算法）、中观制度创新（数据信托、数字公地、参与式审计）与宏观法律重塑（数字人格权、数字守门人监管、全球最低标准）构成的多层次治理框架。该框架以“数据关系权”取代“数据所有权”，以“集体数字福祉”补充“个人隐私保护”，在核心理念层面完成双重升维，并在制度设计中嵌入数据信托的“四要素”机制（受托人构成、决策机制、收益分配、监督机制）和数字公地的Ostrom八项原则等具体操作化安排。 研究引入Apple Health生态、VR心理治疗平台、欧盟健康数据空间等案例作为经验参照，为元宇宙健康数据治理提供理论整合与政策参考。

The deep integration of the metaverse and digital healthcare is fundamentally reshaping the nature of health data. Traditional electronic health records (EHRs), characterized as discrete, event-driven "solid records, " are evolving into "digital life streams"—continuously generated, cross-platform flowing, and algorithmically reconfigured data processes. This ontological shift poses profound challenges to existing data governance frameworks. On one hand, the heightened fluidity of data renders traditional privacy mechanisms, which rely on clear data boundaries, increasingly ineffective. On the other hand, dominant platforms are "reterritorializing" this fluid data through technical standards, protocols, and hardware monopolies, thereby constructing novel power structures that extend from the software layer to the hardware layer. Employing "liquefaction" and "reterritorialization" as core analytical lenses, this paper systematically investigates the structural dilemmas of health data governance in the metaverse. It poses  three central research questions: (1) How does the emergence of "digital life streams" alter the foundational premises of data  governance; (2) How does the dialectic between liquefaction and reterritorialization shape the power dynamics of health data; (3) In the  face of this dual movement, what form should a new governance paradigm take through a critical analysis of technological solutions  (federated learning, zero-knowledge proofs, trusted execution environments), legal-regulatory models (GDPR, HIPAA), and market based mechanisms—examined across five dimensions: power distribution, economic equity, value choices, accountability, and digital sovereignty—this paper reveals the inherent limitations of single-pronged governance approaches in addressing a highly dynamic data ecosystem. Building on this critique, the paper proposes a relational data governance paradigm and constructs a multi-level framework integrating micro-level technological architecture (privacy by default, interoperability standards, explainable algorithms), meso-level institutional innovations (data trusts, digital commons, participatory auditing), and macro-level legal reforms (digital personality rights, digital gatekeeper regulation, global minimum standards). This framework moves from "data ownership" to "data relational rights" and supplements "individual privacy protection" with "collective digital well-being, " achieving a dual conceptual elevation. It further embeds operational mechanisms such as the "four elements" of data trusts (trustee composition, decision-making, benefit distribution, supervision) and Ostrom's eight principles for governing digital commons. Drawing on case studies including the Apple Health ecosystem, VR psychotherapy platforms, and the European Health Data Space (EHDS), the paper offers both theoretical integration and policy references for the governance of health data in the metaverse.