The buzz around AI in the clinical space is undeniable – and with it, healthcare leaders have raised legitimate concerns about the risk to patient care. While the debate around when and how to utilize AI in the clinical setting continues, the potential for AI to be implemented on the operational side incurs far less risk. With AI in the revenue cycle, health systems can streamline their collections and improve financial outcomes, ultimately enhancing the patient experience without putting their care in jeopardy.
The revenue cycle is the ideal proving ground for AI in healthcare, however more than a third of revenue cycle leaders1 still feel ill-equipped to implement it. If you cut through the noise surrounding generative AI, opportunities exist for application across the entire revenue cycle, from patient access to payment, many of which have proven their value and stability. Still, it can be daunting to figure out where to start and how to measure success.
In our latest ebook, “Don’t be afraid of AI in the revenue cycle,” we provide an approachable roadmap for implementing, measuring, and fostering adoption of AI solutions in the revenue cycle. In it, you can learn how to:
- Clarify your AI vision and use cases
- Ensure available and willing support
- Effectively measure outcomes
- Choose a vendor with confidence
- Manage change and enable continuous improvement
Download the ebook today to jumpstart your AI strategy.
