HIMSS25: Preparing Healthcare for AI Implementation
Many healthcare providers have already integrated artificial intelligence tools, while others are evaluating the potential return on investment (ROI) of various AI applications. However, before rushing into AI adoption, healthcare IT leaders emphasize the importance of establishing a solid foundation. At HIMSS25 in Las Vegas, HealthTech spoke with industry experts about the critical steps involved in preparing healthcare organizations for successful AI implementation.
Key Considerations for AI Implementation
IT leaders stress the need for proactive preparation, with change management, robust data governance, and scalable cloud infrastructure being key areas of focus:
- Change Management: Organizations need to be prepared to monitor an AI system throughout its lifecycle to manage performance, data drift and prevent degradation.
- Foundational Technologies: Healthcare organizations should have the necessary computing power, infrastructure, and data storage capabilities before deploying AI solutions.
- Embracing a “Fail Fast” Mentality: With numerous AI tools available, organizations should be ready to evaluate solutions quickly, and willing to discontinue those that do not meet their requirements.
Experts and Insight
This article highlights conversations with:
- Brenton Hill, Head of Operations and General Counsel, Coalition for Health AI
- Dr. Eric Poon, Chief Health Information Officer, Duke Health
- Lee Pierce, Healthcare Strategist, CDW
This thumbail captures a moment from the video, illustrating an important discussion at HIMSS25.
