THE AIDÉO DIFFERENCE

For years, innovators have promised automation and efficiency gains in Revenue Cycle Management (RCM) through the application of technology. While gains have been made, a consistent theme of over promise and under deliver has persisted. As the RCM industry faces unprecedented challenges in rising labor costs, inflation, and ever-rising denials, technology may finally be catching up to the marketing hype.

The advent of artificial intelligence, machine learning and natural language processing is creating a new breed of technology called deep learning – in essence the ability for machines to act and learn in ways that seem intelligent – to begin delivering on the long sought for coding productivity and accuracy gains. (Use graphic of George Washington picture to show deep learning).

Legacy Computer-Assisted Coding (CAC) platforms leverage rules-engines and require humans to drive them in a choose your own adventure style format that may ultimately still result in an inaccurate code. Many CAC platforms are outdated, clunky and lack usability – which ultimately cost you coding productivity and hurts the bottom line.

At Aideo, we’re flipping the script from CAC to PAC — Person Assisted Coding. With PAC our Gemini AutoCode AI system returns predictions when in addition to straight-to-claim autocodes. These predictions allow human coders the opportunity to validate or make changes prior to submitting claims. In this way human coders are informing the AI instead of the computer rules informing the person. This allows for collaboration with our customers in the development and furthering of autonomous coding. In essence we learn from the best, you!