A Layered Governance Architecture for Healthcare AI
The Patient-Centered Concentric Governance Model (PCCM)
Healthcare AI governance frequently describes obligations across clinicians, institutions, and regulators. However, these structures often emphasize multi-stakeholder governance without defining the organizing principle. PCCM complements multi-stakeholder governance by establishing patient protection as the superordinate organizing principle.
Core Principle
"The patient is the immutable axis of healthcare AI governance."
Patient protection is not one stakeholder objective among many.
It is the organizing principle from which governance obligations derive.
Governance legitimacy derives from patient protection.
PCCM operationalizes this principle:
The Governance Gap
This section illustrates the pressing need for a new model. Artificial intelligence has entered clinical medicine at an unprecedented velocity, embedded firmly within daily operations. Recent data indicates nearly 78% of practicing physicians utilize some form of health-related AI. However, governance and institutional frameworks have not kept pace, creating a pervasive uncertainty regarding patient safety.
AI Integration Velocity vs. Governance Readiness (Conceptual)
While ethical discussions proliferate, actionable operational guidance remains distinctly limited.
The Architecture of Accountability
Explore the three functional layers of the PCCM below. Unlike traditional models that negotiate between stakeholders, PCCM organizes governance concentrically. Click on any layer in the diagram to understand its primary function, the core governance question it answers, and its inherent responsibilities.
Patient Core
Layer II: Who Carries Responsibility
This section details the second concentric layer. It identifies the entities responsible for maintaining patient-centered governance. Crucially, in the PCCM framework, these stakeholder obligations are not self-generated; they derive explicitly from the patient-centered core.
Clinicians
Physicians • Nurses • Allied Health
- ▸ Clinical oversight and contextual interpretation.
- ▸ Exercising independent judgment.
- ▸ Clinical responsibility remains non-transferable.
- ▸ Ultimate accountability for care decisions.
Healthcare Institutions
Hospitals • Systems • Boards
- ▸ Managing procurement governance and validation.
- ▸ Implementation oversight and operational safety infrastructure.
- ▸ Establishing escalation pathways and monitoring systems.
AI Vendors
Developers • Commercial Teams
- ▸ Ensuring transparency and complete validation disclosure.
- ▸ Opaque influence is prohibited.
- ▸ Maintaining update governance and operational safety communication.
- ▸ Assuming lifecycle accountability for the technology.
Regulatory Bodies
Gov Regulators • Standards Agencies
- ▸ Defining governance requirements and safety expectations.
- ▸ Establishing accountability frameworks.
- ▸ Enforcing regulatory oversight based on patient protection.
Operationalizing the Architecture
The PCCM is implemented by translating the Patient Core (Layer I) into actionable directives. Frameworks like the IRHAI policies act as the normative obligations that ensure accountability remains structurally intact throughout the AI lifecycle.
Ex: IRHAI-POL-003
Deterministic Authority
Probabilistic systems may inform.
Deterministic authority governs execution.
Ex: IRHAI-POL-008
Human Oversight and Override
Human override must remain frictionless.
Override capability remains continuously available.
Lifecycle Governance under PCCM
PRIME (Admission Control)
"Should system exist?"
Deployment
Clinical ownership assigned
Runtime Governability
- Telemetry
- Monitoring
- Drift detection
- Override pathways
Retirement
Secure decommissioning
Runtime Governance Doctrine
Governance begins before deployment.
Governance persists during runtime.
Governance survives failure.
Mapping the Architecture
How specific policies (e.g., IRHAI) operationalize the layers of the PCCM:
Layer I
Patient Core
Layer II
Stakeholder Accountability
Layer III
Governance Infrastructure
Governance Hierarchy Ecosystem
Where the PCCM sits in relation to broader principles and operational tools:
Constitutional doctrine
PCCM
Governance legitimacy
IRHAI Policies
Normative obligations
RATSe
Runtime governability
Implementation
The Paradigm Shift in Governance Failure
Traditional governance evaluation frequently asks: "Which stakeholder failed?"
PCCM shifts healthcare AI governance from distributed responsibility toward patient-derived accountability.
The Core Intellectual Separation
"Infrastructure does not create obligations. Infrastructure operationalizes obligations originating from patient protection."
Under PCCM, governance failures become architectural failures rather than solely procedural failures. We must ask: "Did governance architecture adequately protect the patient core?" Healthcare AI governance remains trustworthy only when governance obligations continue to derive inwardly from patient welfare rather than outwardly from stakeholder interests.
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