IRHAI Policy 003: Deterministic Decision Governance in Healthcare AI

IRHAI-POL-003: Deterministic Decision Governance in Healthcare AI

IRHAI Policy Doctrine

Deterministic Decision Governance in Healthcare AI

"Probabilistic AI may inform clinical judgment, but deterministic authority must govern patient care."

Clinical Accountability

Clinical medicine operates under deterministic accountability. Every action must be traceable to a specific, licensed professional who assuming absolute legal liability.

Probabilistic Inference

Modern AI systems operate under probabilistic inference. They estimate likelihoods and rank probabilities, introducing stochastic variance that is incompatible with direct liability.

The Boundary Principle

IRHAI-POL-003 establishes a structural boundary between these two domains. Prediction may remain probabilistic, but Decision Authority must remain technically and legally deterministic.

Two-Axis Governance Framework

Contextualizing POL-003 within the broader IRHAI Doctrine.

Functional Axis
Principle Process Operational Structural Assurance
Stakeholder Axis
Patient Clinician Institution Technologist

Note: POL-003 primarily addresses the Structural functional axis, providing the technical containment layer necessary for Clinician and Institutional safety.

Agentic Escalation Scope 🚀

The transition from predictive augmentation to autonomous orchestration.

⛓️

Reasoning Chains

Autonomous planning and Sequential task generation.

🎵

Orchestration

Syncing care processes across fragmented EHR platforms.

📊

Prioritization

Autonomous triage ranking and consult escalation.

🚨

Crisis Alerting

Real-time physiological perception and monitoring.

Decision Stack Separation

Separation logic ensures prediction, language, and execution do not collapse into a single unmonitored pathway.

Stack Layer Requirement Class
Authority Layer Deterministic execution; Named human owner. Decision
Prediction Layer Probabilistic risk scoring; Pattern recognition. Informative
Interface Layer LLM summarization; Drafting; Patient interaction. Communicative

Structural Containment Modules

RATSe Governance Analysis

Structural Security Matrix

Metric Emphasis: ...

Runtime Enforcement Clauses 🚧

Ensuring human-in-the-loop is a technical property, not a policy formality.

👤

Named Ownership

Mandatory mapping to a named clinician with authenticated authorization timestamps.

🔄

Override Access

Visible, immediate, and low-friction override capability is a non-negotiable right.

📈

Drift Control

Automatic suspension of authority if override rates or input data distributions diverge.

🛑

Safe Halt

Kill-switch activation for probabilistic instability.

Global Alignment

⚖️

EU AI Act (Article 14)

Operationalizing human agency and oversight through deterministic layers.

🏛️

FDA PCCP Guidance

Managing model updates and change control through technical drift gates.

🩺

NIST AI RMF

Technical realization of the 'Manage' function in high-risk environments.

Framework Positioning

"Deterministic Governance defines the structural envelope for safe clinical innovation."

Determinism Safety

Institutional Reference Standard

Deterministic Governance for Healthcare AI: Implications for Clinical Reality

Institute for Responsible Healthcare AI (IRHAI). Whitepaper on structural decision boundaries and operational safety.

The IRHAI Doctrine v2.0: The Two-Axis Governance Matrix

Institute for Responsible Healthcare AI (IRHAI). Foundational framework for structural and tactical clinical oversight.

Environmental Responsibility in Healthcare AI: Architectural Principles

Institute for Responsible Healthcare AI (IRHAI). Policy on compute proportionality and infrastructure volatility containment.

From Responsible AI to Governable AI: The IRHAI Clinical Architecture

Institute for Responsible Healthcare AI (IRHAI). Translating governance pillars into technically enforceable runtime layers.

Institute for Responsible Healthcare AI (IRHAI)

Governance: Deterministic Containment | 2026

POL-003 v3.0 | Structural Doctrine

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