A new report argues that health systems have moved quickly to deploy third-party AI tools while testing and validation infrastructure has not kept pace. The analysis finds that more than 90% of health systems have deployed third-party AI, but less than half have the infrastructure to properly test and validate tools before they are embedded in patient care. The gap raises immediate operational concerns around governance, performance evaluation, and ongoing monitoring for AI systems used in clinical settings. With AI increasingly integrated into workflows, the report frames validation readiness as a key differentiator for safe implementation. For biotech and healthcare technology partners, the findings highlight the growing need to deliver evidence not just on accuracy, but on real-world reliability and oversight processes.