The collection includes guidance on risk mitigation, regulatory clarity, and ethical use.
ECRI has published a collection of resources that can help healthcare leaders safely integrate artificial intelligence (AI) solutions into care delivery.
Healthcare organizations are increasingly looking to AI to streamline workflows and cut costs, but AI can pose significant risks to patient safety if not properly assessed and managed.
AI-enabled tools offer wide-ranging benefits, and predictive AI is already being tested and used in care delivery with its scope set to expand into even more applications. These systems depend on high-quality data, robust clinical validation, and a clear understanding of their intended use. Inadequate training data, poor integration,and lack of transparency can lead to inappropriate outputs and degraded care.
ECRI’s new AI Resource Hub provides free, publicly accessible tools designed to help organizations thoughtfully procure, implement, and oversee AI technologies while addressing these critical safety and performance concerns.
The hub includes position papers, webinars, expert-authored articles, and regulatory insights. Among the key materials is ECRI’s seven-point position paper, which offers recommendations for assessing functionality, mitigating bias, and ensuring clinical validation. The paper also answers critical questions around regulatory clearance and post-deployment monitoring.
Additional resources cover ECRI’s recent submission to the White House Office of Science and Technology Policy, ethical frameworks for AI use, and guidance for managing machine learning updates in AI-enabled medical devices.
The resource hub also features materials previously available only to ECRI members, reflecting what the organization calls an “unmet need” for industry-wide support in responsible AI integration.
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