Current mobile health platforms are predominantly individual-centric and lack the necessary primitives 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, an Android/Flutter system that provides context-sensitive, role-aware sharing and verifiable information flows for care circles. JEEVHITAA ingests platform and device data (via Google Health Connect and BLE connectors), constructs multi-layer user profiles from sensor streams and tiered onboarding, and enforces fine-grained, time-bounded access control across permissioned care graphs. Data are end-to-end encrypted in local stores and during peer sync (Firebase), and provisions are made for document capture by camera or upload as PDF. An integrated retrieval-augmented LLM pipeline (i) produces structured, role-targeted summaries and action plans, (ii) enables users to gather advanced insights on health reports, and (iii) performs evidence-grounded user-relevant verification of arbitrary health content, returning provenance, confidence scores, and source citations. We describe the system architecture, connector abstractions, and security primitives, and evaluate robustness and compatibility using synthetic, ontology-driven simulations and vendor compatibility tests. Finally, we outline plans for longitudinal in-the-wild deployments to measure system performance, the correctness of access control, and the real-world effectiveness of relationship-aware credibility support.

翻译：当前移动健康平台主要围绕个体为中心，缺乏支持协调、可审计、多参与者工作流的基础机制。然而，在全球许多场景中，健康决策由多参与者护理网络而非单一用户执行。本文提出JEEVHITAA，一种基于Android/Flutter的系统，为护理圈提供情境感知、角色驱动的可验证信息流共享机制。该系统通过Google Health Connect与蓝牙低功耗连接器接入平台及设备数据，基于传感器流与分层注册构建多层用户画像，并在权限化护理图谱中实施细粒度、时间限定的访问控制。数据在本地存储及点对点同步（通过Firebase）过程中均采用端到端加密，并支持通过摄像头拍摄或PDF上传方式获取文档。集成的检索增强型大语言模型流程具备以下功能：（1）生成结构化、面向角色的摘要与行动计划；（2）支持用户获取健康报告的高级洞察；（3）对任意健康内容进行基于证据的用户相关性验证，返回溯源信息、置信度评分及来源引用。本文详细阐述了系统架构、连接器抽象与安全原语，并通过基于本体的合成仿真与供应商兼容性测试评估系统鲁棒性与兼容性。最后，我们规划了长期实地部署方案，以测量系统性能、访问控制正确性以及关系感知可信度支持机制的实际有效性。