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. It also provides a framework for regulating AI in healthcare that is designed to be "scalable and adaptable, allowing organizations of all sizes and resource levels to implement it effectively."
"With rising concerns about AI in healthcare and increasing regulatory interest, this standard is incredibly timely," said IAIGH Board Member Herman Oosterwijk in a statement. "It will significantly aid healthcare institutions grappling with AI governance, filling a major gap."
AuntMinnie.com was unable to reach the Institute for more information. The comment period closes November 14.
Find the document here.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
