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Knock Out the Noise on Artificial Intelligence - AHA webinar

Tuesday, May 14, 2024
12:00 pm1:00 pm

Learn how to responsibly leverage AI to reinvent health care from a panel of executive, clinical and administrative leaders who will share best practices, challenges and ways to usher in the future of health care.

The global state of AI in health care is moving toward systemic reinvention, not just innovation. At the same time, health care finds itself in an unprecedented moment of strain. Enterprises are excited to experiment and transform, but they face serious risk of taking action without discipline or focus on measurable value.

Traditional AI such as robotic process automation and predictive modeling has already heavily penetrated health systems, but never before has our generation experienced the speed of innovation driven by generative AI. We’ve already seen generative AI (GenAI) reshape health care worker tasks.

As providers and health systems adopt AI, from traditional to generative, AI increasingly touches every part of the enterprise. This adoption comes with financial, legal and ethical implications. Responsible AI (RAI) in health care is evolving into a discipline to drive value against organizational goals, compliance, and trust within the context of AI. RAI is now a mechanism to drive value for patients, providers, and operators. Data literacy must be elevated and issues like security, bias, and trust should be considered at every step in the AI life cycle. And in the end, we can’t lose sight of ensuring that this technology is deployed with a human-centered approach.

Join us as we take a deep dive on these topics with our panel of executive, clinical and administrative leaders who will talk about best practices, challenges and how we can usher in the future of health care together.

Attendees Will Learn:

- Market forces shaping the health AI landscape from rapid innovation, existing market challenges & regulatory immaturity for AI.
- How democratized access to GenAI is resulting in renewed calls for responsible AI & heightened standards of data/technology literacy.
- How to focus on core RAI priorities and lay the foundation to support evolving technology & regulatory requirements.