Learn from Sword Health’s real-world experience in healthcare AI implementation. Through case studies, discover practical strategies for safe, reliable AI solutions, including guardrails and evaluation frameworks for successful deployment.
AI-powered products are changing healthcare delivery by enabling more personalized, effective and efficient care at scale. However, deploying these systems in a highly regulated industry presents unique challenges in ensuring consistency, safety, and reliability. In this talk, we will walk through Sword Health’s journey developing and launching Al-powered healthcare products by sharing practical strategies to deliver impactful user-centric products that enhance patient care. We’ll explore learnings in building effective guardrails, implementing robust evaluation frameworks, choosing the right optimization approach, collecting user feedback and maintaining data-driven development practices.
Clara currently leads AI Engineering at Sword Health, where she is focused on building and scaling machine learning systems that support Sword Health’s goal of reinventing how patients access and receive care, by creating a more human, more clinically effective, and more scalable way to treat patients.