Patient Quality and Safety Tool: ARCH Classification enables incorporation of AI related complications in Healthcare
Patient Quality and Safety Tool: ARCH Classification enables incorporation of AI related complications in Healthcare

ARCH Classification:A novel tool for AI-Related Complications in Healthcare (ARCH)

What is the ARCH Classification System:

Salim Afshar MD DMD FACS
2 min readOct 20, 2023

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I am excited to introduce a tool that promises to reshape the way we think about risk management in AI-driven healthcare —the ARCH Classification System. It is a grading tool for risk that is designed to enable the incorporation of artificial intelligence related risks and complications into the current established Patient Quality and Safety Reporting systems of healthcare systems.

Who Is ARCH For?

ARCH is designed to be an indispensable tool for healthcare executives, clinicians, IT professionals, and even non-technical management teams. It’s for anyone committed to ensuring that the integration of Artificial Intelligence into healthcare is conducted with the highest safety standards in mind. It’s also about creating a system to document and act on potential safety events related to AI usage in Healthcare.

Why was ARCH Designed?

As AI technologies continue to be rapidly integrated into healthcare processes, the landscape of risks and complications also evolves. Traditional risk classification systems are excellent but not equipped to deal with the challenges posed by AI — a domain that often behaves like a ‘black box,’ making it hard to pinpoint the root causes of complications. ARCH fills this crucial gap by providing a comprehensive framework to categorize, understand, and manage AI-related risks.

ARCH Classification:

ARCH Classification: A novel tool for AI-Related Complications in Healthcare. Enables incorporation into established Patient Quality and Safety procedures within the healthcare system.
ARCH Classification: A novel tool for AI-Related Complications in Healthcare.

Summary

Grade I: Minor AI issues that resolve spontaneously.

Grade II: Risks to patient safety or healthcare processes requiring human intervention.

→Grade IIa: Software recalibration or updates needed.

→Grade IIb: Necessitates system rollback or higher-level IT support.

Grade III: Long-term impact on patient health requiring significant intervention.

Grade IV: Life-threatening complications.

Grade V: Severe, irreversible harm or death.

ARCH offers a strategic approach to ensure the continuous improvement of AI applications in healthcare, inspired by the success of frameworks like the Codman Classification in surgery.

Be a Part of the Change

I am inviting healthcare leaders, AI experts, and policy-makers to engage with us in refining and implementing the ARCH. I am also inviting corporations such as IBM iX Google Health, Microsoft and others to use a standard tool in their deliberations around potential risk within the healthcare space.

Your insights and expertise could be the key to making healthcare safer, more effective, and revolutionary.

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Reveal AI in Healthcare
Reveal AI in Healthcare

Published in Reveal AI in Healthcare

the “Reveal AI in Healthcare ” publication explores questions, concerns, and innovations related to the emerging AI landscape in healthcare and all things related

Salim Afshar MD DMD FACS
Salim Afshar MD DMD FACS

Written by Salim Afshar MD DMD FACS

Chief Medical & Innovation Officer at Reveal HealthTech | Faculty at Harvard. https://www.revealhealthtech.com/