The foundation and future of AI + gen AI in healthcare payments

The status quo is not sustainable for healthcare payments. For most organizations, artificial intelligence (AI) is the answer.

“Healthcare finance leaders are ready to embrace AI,” says Chris Schremser, Chief Technology Officer at Waystar. “Our new study shows that 69% are using AI in their revenue cycle, and 75% have seen positive returns.”

Watch this session to unlock key findings from the Waystar + Modern Healthcare report and learn how organizations are using AI to:

• Maximize reimbursement
• Prevent denials
• Improve team efficiency
• Enhance patient financial care

Then, unlock a concise explanation of the evolution of AI, from machine learning and neural networks to deep learning. Finally, dive into the details with four key facts:

1. Not all AI is equal.
   If you train a model on bad data, you get bad results.
2. Generative AI is expensive.
   Using it to solve small problems will never make financial sense.
3. AI should empower staff to work efficiently.
   Humans should only get involved to verify accuracy, confirm suggestions, or work complex issues.
4. Gen AI must deliver ROI.
   If it doesn’t show return on investment, we’re wasting our time.

You’ll walk away with a deeper understanding of AI and its use cases, from generating claim rules and monitoring payer behavior to evaluating medical necessity.