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Toward a Patient-Centered AI Gateway

A Privacy-First Approach to Health Data Integration Introduction The healthcare sector is on the cusp of a massive transformation, spurred by breakthroughs in generative AI, real-time health monitoring, and federated data infrastructure. As companies like OpenAI and Anthropic introduce clinical-grade capabilities into large language models (LLMs), the prospect of AI-assisted diagnostics, treatment planning, and patient support is no longer a distant vision. But with this innovation comes a deep concern:
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Social Media preview – Patient-Centered AI Gateway

Public Facing PR post The recent announcements from OpenAI and Claude around healthcare signal a growing intersection of AI innovation and patient privacy. As more AI services enter the clinical space, the need for a secure, patient-centered gateway is becoming urgent. While these models don’t yet offer public healthcare-specific APIs, demand is clearly building. In the meantime, existing APIs can be used to construct trust-preserving gateways that leverage AI without
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Hive the original Vision of the Global Village

The Hive, echoes the original promise of the internet — not just connectivity, but curated, structured, collaborative knowledge at scale. Before the web devolved into algorithmic chaos and surveillance capitalism, there was a dream: “A global, permissioned, self-evolving knowledge graph — guided by trust, verified by experts, available to all.” Sound familiar?  From ARPANET to CERN to Hive ARPANET: Bare-metal packets and raw routing — raw connective tissue. CERN’s Web
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Multi-State medical records Hive

Building a Smarter Medical Claims System for a Multi-State Future In today’s healthcare landscape, filing a medical claim across different states can feel like navigating a maze. Every jurisdiction, insurer, and provider network comes with its own rules, forms, and policy quirks. What should be a simple transaction becomes a fragmented, error-prone process—costing time, money, and, often, patient trust. But it doesn’t have to be this way. We now have
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Spatial Analysis Toolkit

Crash and incident analysis using XR Glasses Prototyping a Forensic Developer Toolkit that bridges real-world capture with immersive review. From on-scene recording to delayed mobile upload, then spectrographic reconstruction in the cloud—our pipeline ends in full 3D analysis via tethered XR glasses. This is how we’ll review incidents not just from reports—but from inside the event. Off the self spatial analysis Toolkit • XReal Beam Pro (or equivalent 3D camera)
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