According to DQS, a global auditing and certification firm, the shift mirrors the earlier evolution of cybersecurity requirements. While ISO 27001 certification became a baseline expectation for vendors to prove their systems were secure, hospitals are now shifting their scrutiny toward the integrity of AI models embedded in diagnostic and monitoring tools. The emerging concern centers on model bias, transparency, human accountability, and the lifecycle management of algorithms.

Dr. Yuan Li, Director of Medical Business at DQS, notes that manufacturers who wait for formal mandates risk being sidelined by proactive health systems. While ISO/IEC 42001 is not yet a regulatory requirement, it serves as the current benchmark for organizations seeking to demonstrate that their AI infrastructure is managed responsibly. Recent high-profile cyber incidents in the medical technology sector have heightened institutional anxiety, pushing procurement departments to treat AI governance as a non-negotiable business priority rather than a secondary compliance checkbox.