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AI Governance: Regulation and Governance Hand-Shake

Aidoc

While healthcare and artificial intelligence may offer an obvious choice for a dynamic duo, another collaboration is just as important for AI’s long-term success: AI governance and AI regulation. Regulation refers to external rules and standards imposed by government or industry bodies to govern AI development and deployment.

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The Roles to Include in AI Governance Conversations

Aidoc

Healthcare operates on a “minimum viable access” basis to ensure sensitive information is restricted to only those who truly need it to deliver quality care. This principle is a great example to apply to AI governance. Agile, empowered decision-making structures are essential for efficient and effective governance.

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American College of Radiology Launches First Medical Practice Artificial Intelligence Quality Assurance Program

Imaging Technology

milla1cf Fri, 06/28/2024 - 08:00 June 27, 2024 — The American College of Radiology ( ACR ) launched the ACR Recognized Center for Healthcare-AI (ARCH-AI), the first national artificial intelligence quality assurance program for radiology facilities. Ensuring adherence to security and compliance measures.

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Addressing Compliance Challenges in DevOps and Hiring to Solve

MRI Network

We look at the effective strategies for addressing the DevOps compliance issue and how your team can keep projects running on schedule and by the book. DevOps teams must stay updated with the rapidly evolving data standards of organizational leaders, government bodies, and cybersecurity authorities.

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ACR launches AI quality assurance program for radiology facilities

AuntMinnie

The American College of Radiology (ACR) is launching the ACR Recognized Center for Healthcare-AI (ARCH-AI) in what the college is calling the first national AI quality assurance program for radiology facilities.

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The Risks of Not Being Proactive with Healthcare Cybersecurity When It Comes to AI

Aidoc

Without robust AI governance, including threat modeling and secure model training, organizations expose themselves to AI-specific risks, such as adversarial model manipulation and unintended bias in AI decision-making. Security should be as important as any other quality indicator. Schedule regular audits to maintain compliance.

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UH rad department receives ARCH-AI recognition

AuntMinnie

ARCH-AI is an AI quality assurance program for radiology facilities, which affirms that deployment of AI technologies at UH is built on best practices, outlines expert consensus-based building blocks of infrastructure, and includes processes and governance in AI implementation in real-world practice.