JEEVHITAA -- An End-to-End HCAI System to Support Collective Care
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866918321454055424 |
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| author | Srinivasan, Shyama Sastha Krishnamoorthy Pala, Harsh Kumar, Mohan Singh, Pushpendra |
| author_facet | Srinivasan, Shyama Sastha Krishnamoorthy Pala, Harsh Kumar, Mohan Singh, Pushpendra |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_06364 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | JEEVHITAA -- An End-to-End HCAI System to Support Collective Care Srinivasan, Shyama Sastha Krishnamoorthy Pala, Harsh Kumar, Mohan Singh, Pushpendra Human-Computer Interaction Artificial Intelligence Cryptography and Security 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. |
| title | JEEVHITAA -- An End-to-End HCAI System to Support Collective Care |
| topic | Human-Computer Interaction Artificial Intelligence Cryptography and Security |
| url | https://arxiv.org/abs/2512.06364 |