Guidelines for use of AI in healthcare are on track, says CHAI

The Coalition for AI Health has announced it will meet this month to finalize its consensus-driven framework and share recommendations by year-end in a progress update. CHAI convened in December to develop consensus and mutual understanding with goals to tame the drive to buy artificial intelligence and machine learning products in healthcare and arm health IT decision-makers with academic research and vetted guidelines to help them choose dependable technologies that provide value. Through October 14, CHAI is accepting public comments on its work examining testability, usability and safety at a workshop with subject-matter experts from healthcare and other industries the organization held in July. Previously, CHAI produced a sizable paper on bias, equity and fairness based on a two-day convening and accepted public comments until the end of last month. The result will be a framework, the "Guidelines for the Responsible Use of AI in Healthcare," that intentionally fosters resilient AI assurance, safety and security, according to the October 6 progress update. "Application of AI brings a tremendous benefit for patient care, but so is its potential to exacerbate inequity in healthcare," said Dr. John Halamka, president of Mayo Clinic Platform and cofounder of the coalition in the update.