Cite this specification

@techreport{ainativemedical2026,
  title       = {{AI-Native Medical: Sovereign Clinical AI Edge Infrastructure}},
  author      = {Timothy Walsh and Parham Alizadeh},
  institution = {AI-Native Medical},
  type        = {Draft Specification (RFC)},
  number      = {v0.2.0},
  year        = {2026},
  url         = {https://www.ainativemedical.org/},
  doi         = {10.5281/zenodo.21852364},
  note        = {Revised 2026-08-08}
}

Preferred for LaTeX and reference managers.

Walsh, T., & Alizadeh, P. (2026). AI-Native Medical: Sovereign Clinical AI Edge Infrastructure (Version 0.2.0) [Draft specification]. AI-Native Medical. https://doi.org/10.5281/zenodo.21852364

Walsh, Timothy, and Parham Alizadeh. "AI-Native Medical: Sovereign Clinical AI Edge Infrastructure." Version 0.2.0. Draft specification. AI-Native Medical, 2026. https://doi.org/10.5281/zenodo.21852364

T. Walsh and P. Alizadeh, "AI-Native Medical: Sovereign Clinical AI Edge Infrastructure," AI-Native Medical, Draft Specification v0.2.0, 2026. [Online]. Available: https://www.ainativemedical.org/

cff-version: 1.2.0
message: "If you reference this specification, please cite it as below."
title: "AI-Native Medical: Sovereign Clinical AI Edge Infrastructure"
version: "0.2.0"
date-released: "2026-08-08"
url: "https://www.ainativemedical.org/"
repository-code: "https://github.com/ainativeoffice/ai-native-medical-spec"
doi: "10.5281/zenodo.21852364"
type: software
license: CC-BY-4.0
keywords:
  - AI-native medical
  - sovereign compute
  - on-premises inference
  - zero egress
  - data sovereignty
  - edge inference
  - ambient clinical intelligence
  - healthcare real estate
  - medical office building
  - HIPAA
  - protected health information
  - Model Context Protocol
abstract: >-
  The delivery of modern healthcare across suburban and retail Medical Office Buildings faces an operational bottleneck: the friction between cloud-dependent AI platforms and strict regulatory, network, and performance constraints. Contemporary clinical workflows demand continuous multimodal AI — real-time ambient transcription, immediate documentation synthesis, automated triage of high-resolution imaging, and low-latency augmented-reality guidance inside a bounded end-to-end budget — yet routing Protected Health Information across public networks to hyperscale clouds introduces prohibitive latency, recurring egress penalties, an expanded Business Associate Agreement and subprocessor surface, and network saturation risk. This specification defines a new healthcare real estate asset class: a zero-egress, on-premise sovereign edge compute node built into the physical Medical Office Building, powered by tenant-owned NVIDIA L40S-class GPU clusters in acoustically isolated, liquid-cooled utility enclaves. Ambient clinical data is ingested and processed locally — never crossing the property's network boundary — delivering tenant custody of data, elimination of recurring egress cost, and a measured glass-to-photon latency budget within 13 milliseconds for interactive guidance. The specification positions zero egress as a physical and technical control within a defense-in-depth HIPAA Security Architecture pursuant to 45 CFR § 164.312, not as a substitute for the administrative, physical, and technical safeguards that rule requires. Architecture reduces the exposure surface; it does not by itself establish regulatory compliance.
authors:
  - given-names: "Timothy"
    family-names: "Walsh"
    email: "tw@ainativemedical.org"
    affiliation: "TruCast"
  - given-names: "Parham"
    family-names: "Alizadeh"
    email: "parham@ainativemedical.org"
    affiliation: "North Castle Ventures"
identifiers:
  - type: doi
    value: "10.5281/zenodo.21852364"
    description: "Concept DOI — always resolves to the latest version."

Committed at the root of the specification repository so GitHub renders a native citation widget.