Revolutionize your revenue cycle with expert-guided AI

As the health information industry shifts to using more artificial intelligence (AI) solutions, it is more important than ever to scrutinize what AI engines are being fed, how they are learning and what kind of guardrails do they include to enable complete and compliant outcomes. In a sea of AI offers and vendors out there, expert-guided AI tools stand out as they are built for purpose, to help automate the simple and maybe even tedious, so teams can focus on the complex – putting their critical thinking skills to better use.

What does expert-guided AI in healthcare mean? 

Conventional AI by itself may provide some correct answers to basic questions, but how reliable is it when it comes to complex tasks–such as understanding and documenting physician/patient encounters, producing proactive clinical documentation integrity (CDI) nudges, predicting and preventing denials, or automating medical coding—amid constantly evolving guidelines, new codes, regulatory changes, and edits? Layer on top of that the variations across states and payers, and the challenge becomes even greater. 

This is where expert-guided AI comes to the rescue in the healthcare revenue cycle. Expertise, content creation and clinical focus all play a strong part in training AI models to generate reliable query nudges, final code sets and predict potential denials. 

Without those three elements, it is very difficult to meet compliance requirements and organizations are left with a high risk of denials, high rates of discharged not final billed (DNFB), reactive queries and more.

Want to go beyond conventional AI and start your expert-guided AI journey? Stop by booth 921 at AHIMA25 to get your custom digital revenue scorecard, attend one of our in-booth Solver Showcase presentations, or connect with one of our experts. Check out all the things we have in store for you at AHIMA25.
 

Giannina Rachetta, licensed scrum product owner (LSPO), is a senior product marketing manager at Solventum.