JEEVHITAA -- An End-to-End HCAI System to Support Collective Care
Abstract
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.
Cite
@article{arxiv.2512.06364,
title = {JEEVHITAA -- An End-to-End HCAI System to Support Collective Care},
author = {Shyama Sastha Krishnamoorthy Srinivasan and Harsh Pala and Mohan Kumar and Pushpendra Singh},
journal= {arXiv preprint arXiv:2512.06364},
year = {2026}
}
Comments
14 pages, 4 figures, 6 tables, 2 algorithms, Preprint of work under review. Longer Pilot work underway