Advancing healthcare AI governance through a comprehensive maturity model based on systematic review

2026-02-11 · Source: Machine learning : nature.com subject feeds · Field: Health & Wellbeing — Healthcare Systems & Policy, Medical Devices & Health Technology · Depth: Intermediate, medium

Summary

The Healthcare AI Governance Readiness Assessment (HAIRA) is a five-level maturity model designed to provide actionable governance pathways for Artificial Intelligence (AI) deployment in healthcare, particularly for organizations with varying resource levels. Developed through a systematic review of 35 AI implementation frameworks published between 2019 and 2024, HAIRA identifies seven critical domains of healthcare AI governance. While existing frameworks often assume extensive resources, HAIRA addresses this gap by offering a tiered approach, ranging from Level 1 (Initial/Ad Hoc) to Level 5 (Leading), with specific benchmarks across all seven governance domains. This model allows healthcare organizations to assess their current AI governance capabilities and set appropriate targets for advancement, ensuring that AI implementation delivers tangible benefits across diverse systems.

Key takeaway

For CTOs and VPs of Engineering/Data evaluating AI deployment in healthcare, HAIRA provides a structured approach to governance. You should utilize this five-level maturity model to assess your organization's current AI governance capabilities and establish realistic advancement targets based on available resources. This framework helps ensure responsible and effective AI implementation, mitigating risks while maximizing benefits.

Key insights

HAIRA offers a five-level maturity model for adaptive healthcare AI governance, addressing resource disparities.

Principles

• AI governance requires adaptive strategies.
• Resource availability dictates governance pathways.
• Systematic review informs robust framework design.

Method

A systematic review of 35 AI implementation frameworks (2019-2024) identified seven critical governance domains. Key findings were then organized into a five-level maturity model, HAIRA, with specific benchmarks for each level.

In practice

• Assess current AI governance with HAIRA.
• Establish tiered advancement targets.
• Tailor governance to organizational resources.

Topics

• Healthcare AI Governance
• AI Maturity Models
• HAIRA Framework
• AI Implementation Frameworks
• Digital Medicine

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine learning : nature.com subject feeds.