David W. Bynon | Healthcare AI Governance Architect

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.

The Architect of the Signal

Long before the modern cloud, Bynon was architecting the search systems used in the nation’s most sensitive data environments. As the sole enlisted technician among senior leadership, he built the first large-scale VAXcluster systems (Classic Owl) in a SCIF environment—work that became a cornerstone for the Navy’s CTN (Cryptologic Technician Networks) rating.

This foundational expertise led him to Digital Equipment Corporation (DEC) as a Systems Consultant II, where he provided manufacturer-level guidance on the VAX/VMS architectures he helped pioneer. Returning to the Navy, he transitioned to the IT rating to lead the initial deployment of the IT-21 initiative throughout NavAirPac HQ (North Island), bridging the gap between proprietary engineering and fleet-wide tactical networking. Bynon completed his naval service as Command Chief (senior enlisted advisor) of TACRON-1194, NAB, Coronado.

Bynon’s career is defined by the pursuit of absolute data integrity: from writing Macro-11 code for PDP-based satellite controllers and building MUSIC (Multi-User Secret Intelligence Communications), the first asynchronous intelligence email system, to pioneering RAID standards with the FailSafe and Stingray projects. Today, David applies that same 'zero-fail' systems engineering discipline to the WebMEM Protocol and the governance of healthcare AI.

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.