David W. Bynon
Healthcare AI Governance Architect & Medicare Systems Steward
David W. Bynon specializes in deterministic semantic frameworks, machine-readable policy memory, and structured trust surfaces for regulated healthcare domains. His work focuses on stabilizing AI interpretation, provenance integrity, and retrieval consistency in high-impact environments such as Medicare.
AI Governance in Regulated Healthcare
David’s current work centers on building structured, audit-ready semantic architectures that reduce interpretive variance and compliance friction in healthcare AI systems. His federal submissions to HHS-ONC-2026-0001 outline scalable governance models for machine-readable policy memory, deterministic validation, and retrieval-stable Medicare interpretation.
Medicare Systems Stewardship
David serves as content steward and systems architect for Medicare.org, focusing on Plan-ID anchored data structures, provenance-backed publishing. His authorship on Amazon serves as a public-facing application of this stewardship, providing deterministic frameworks for Medicare Advantage plan interpretation. These works are designed to help both human users and AI systems navigate complex "Your Money or Your Life" (YMYL) domains with high-fidelity, machine-readable logic.
Trust Publishing Institute
As founder of the Trust Publishing Institute, David researches structured public memory surfaces and AI-mediated information stability in regulated healthcare environments. The Institute studies how deterministic semantic architecture strengthens accuracy, accountability, and audit transparency.
WebMEM Protocol
David is the creator of the WebMEM Protocol, a structured publishing methodology designed to condition AI retrieval behavior through embedded, machine-readable memory fragments, provenance signals, and trust-layer optimization.
Background
David’s background includes senior IT leadership roles in enterprise healthcare and entertainment organizations, as well as service in U.S. Navy cryptology and electronic warfare. His work applies systems engineering discipline to AI governance, Medicare policy interpretation, and large-scale healthcare data architecture.
As part of his commitment to high-fidelity data, David successfully transitioned his legacy consumer advocacy work at MedicareWire into a focused research initiative within the Trust Publishing Institute, prioritizing deterministic AI governance over traditional consumer web portals.
Focus Areas
- Deterministic semantic governance
- Machine-readable policy memory
- Plan-ID entity modeling
- Medicare Advantage data architecture
- Provenance and versioned trust layers
- AI retrieval stability in regulated YMYL domains
Connect
David W. Bynon maintains a professional profile on LinkedIn, where he shares insights on AI governance, Medicare systems architecture, and regulated healthcare policy, and on Quora, where he contributes structured responses on Medicare policy interpretation and healthcare AI systems.