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‘Insufficient governance of AI’ is the No. 2 patient safety threat in 2025

Radiology Business

ECRI compiled its latest list of healthcare hazards based on a wide scope of data, hoping to pintpoint the most pressing threats to patients' well-being.

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IAIGH releases Healthcare AI Governance Standard for public comment

AuntMinnie

The Institute for AI Governance in Healthcare (IAIGH) has released for public comment a document it calls Healthcare AI Governance Standard (HAIGS). According to the IAIGH , the HAIGS prioritizes patient safety, data security, equity, transparency, trust, and regulatory compliance. The comment period closes November 14.

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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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Michigan adds requirements for medical imaging equipment operators

AuntMinnie

ARRT Director of Government Affairs Dana Aragon said the effort started five years ago when advocates in Michigan tried to persuade the Michigan Legislature to require licensure for radiologic technologists. The rules also establish initial and continuing education requirements for limited-scope radiographers and radiologist assistants.

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IAIGH Seeks Comment on Healthcare AI Governance Standard

Imaging Technology

14, 2024 – The Institute for AI Governance in Healthcare (IAIGH) has published the draft Healthcare AI Governance Standard (HAIGS) for public comment. The new AI governance standard provides a comprehensive framework for regulating AI in healthcare. tim.hodson Tue, 10/15/2024 - 13:33 Oct. The comment period opened Oct.

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Why Change Management Is a Necessary Component of Successful AI Governance

Aidoc

Often the focus of AI governance is crafting comprehensive policies and procedures to ensure patient safety and mitigate risks. It is also the bedrock of effective AI governance, serving as the bridge between policy and practice. Explore more AI governance best practices.

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WHO: AI use in low-income countries could be ‘dangerous’

AuntMinnie

In a new 98-page report on the ethics and governance of large multi-modal models (LMMs), the WHO stressed that it is imperative for the technology not to be shaped solely by high-income countries working with the world’s largest technology companies.