Current mobile health platforms are predominantly individual-centric and lack the support for coordinated, auditable multi-actor workflows. However, in many settings worldwide, health decisions are enacted by multi-actor care networks rather than single users. We present JEEVHITAA, a cross-platform mobile system enabling role-aware sharing and verifiable information flows within permissioned care circles. JEEVHITAA ingests platform and device data (Health-Connect, BLE), builds layered profiles from sensors and tiered onboarding, and enforces fine-grained, time-bounded access control across care graphs. Data are end-to-end encrypted both locally and during peer synchronization; documents can be captured or uploaded as PDFs. An integrated retrieval-augmented LLM produces structured, role-targeted summaries and action plans, offers evidence-grounded verification with provenance and confidence scores, and supports advanced insights on reports. We describe the architecture, connector abstractions, security primitives, and report robustness evaluations using synthetic ontology-driven data, as well as a feasibility study with a real-life care circle. We outline plans for longitudinal in-the-wild evaluation of access control correctness and credibility support.

翻译：当前的移动健康平台主要以个人为中心，缺乏对可协调、可审计的多参与者工作流的支持。然而，在全球许多场景中，健康决策是由多参与者护理网络而非单一用户来制定和执行的。我们提出了JEEVHITAA，一个跨平台的移动系统，能够在获得授权的护理圈内实现基于角色的共享和可验证的信息流。JEEVHITAA 整合来自平台和设备的数据（如 Health-Connect、BLE），通过传感器和分层注册流程构建分层用户画像，并在护理关系图上实施细粒度、有时间限制的访问控制。数据在本地和对等同步过程中均采用端到端加密；文档可以捕获或上传为 PDF 格式。集成的检索增强型大语言模型能生成结构化的、针对特定角色的摘要和行动计划，提供基于证据的验证（包含来源和置信度评分），并支持对报告进行高级洞察。我们描述了该系统的架构、连接器抽象、安全原语，并报告了使用合成本体驱动数据进行的鲁棒性评估，以及一个真实护理圈的可行性研究。我们概述了未来对访问控制正确性和可信度支持进行纵向实地评估的计划。