AI is rapidly gaining traction in healthcare capital projects and spending – but how can health systems ensure they are focusing their efforts on the right problems, at the right time, with the right tools? With so many new technologies, platforms, and applications, the topic of AI and automation can feel overwhelming and almost impossible to navigate. 

In this interactive session, join peers in exploring the groundwork of AI and the theory around it in order to better understand it’s real impact on your organization.

Learning Objectives:
1. Identify key operational and strategic pain points within the healthcare capital process that could benefit from AI-driven solutions.
2. Evaluate the potential impact of the three key types of AI on capital projects and everyone involved.
3. Formulate collaborative approaches to prioritizing AI use cases based on organizational readiness.
4. Express insights and peer-shared experiences to contribute to a collective understanding of AI application.

What does AI implementation look like in the day-to-day operations of a health system in today’s healthcare capital landscape? For many organizations, the introduction of AI into their operations has completely reshaped processes, enhanced efficiency, and streamlined patient nuances to allow for an improved patient experience. For others, practical uses for this technology remain a mystery.

Through real-world applications and roundtable discussion, organizations will discover the ‘how’ behind AI, and dig beneath the novelty and mystery of the ever-advancing technology.

Learning Objectives:
1. Compare real-world AI implementation strategies across multiple health systems to identify common success factors and obstacles.
2. Detect early warning signs of implementation pitfalls based on peer experiences. 
3. Evaluate organizational readiness and other factors supporting or hindering AI adoption in your organization.

4. Assemble an AI self-development program to keep you up to speed in a time of remarkable change.

The digitization and automation of processes continue to prove paramount in today’s healthcare landscape, with health systems looking for optimal ways to integrate digital technology into everyday operations. From predictive analytics to AI-driven decision-making, digital tools are reshaping how healthcare executives anticipate needs, reduce waste, and improve patient outcomes.

By encouraging an open discussion on AI implementation, organizations can begin to understand how this ever-evolving technology uniquely impacts capital project teams.

Learning Objectives:
1. Identify areas of innovation and digital transformation in healthcare that can be translated to meet needs across departments.
2. Contrast the different steps along the journey to AI implementation and what each step involves.
3. Outline a proactive plan for promoting organizational resiliency through the introduction or enhancement of AI.
4. Compare current or recent digital initiatives of your organization with those of your peers.