Recently, Rob Gontarek, Senior Vice President of Data Science here at ImagineSoftware™, hosted an industry webinar to discuss articulating artificial intelligence (AI) in healthcare. Rob’s an expert with an impressive background in AI technology, dedicated to demystifying AI and better helping others understand how it works from a technical standpoint. During his presentation, Rob delved into the software and technology associated with revenue cycle management (RCM), customer relationship management, and more, focusing on how Imagine is evolving AI applications for advanced billing and revenue operations.
The overall webinar centered around ImagineOne™ – Imagine’s latest revolutionary technology platform providing end-to-end, autonomous billing & RCM within a single solution from pre/point-of-service to zero balance. The software heavily utilizes AI for natural language processing (NLP), among other methods, which Rob has been instrumental in developing for the product. Rob discussed how AI technology is established and maintained behind the scenes of the application, offering an understanding of how users can take confidence in the technology used to automate and enhance daily workflows.
The Touchless Approach
"There are basically three layers here. We have the AI layer that's solving problems that we can't do programmatically. We've got the middle layer, that's the core billing platform. And then we have the RPA layer, the bot that is solving problems by again, going out into the big wide world, getting information that we don't have access to today. And the intent of basically meshing all these together is a seamless, no touch, end-to-end process." - Rob Gontarek
With AI advancements, the ideal RCM process is nearly touchless by design to automate each step. While some human intervention may be necessary, AI efforts primarily focus on labor-intensive tasks that account for 60-65% of total labor effort in RCM. To close the loop and increase productivity gains, existing automation features are brought to the forefront to be more visible and accessible than ever before.
Automating the RCM process streamlines and speeds up core billing activities while also reducing costs. The implementation of AI models for automation identifies what functions can be automated, allowing for quicker completion times and improved accuracy. The AI engine advances machine learning over time through pattern recognition. Uncertain instances are matched with outcomes, enhancing future performance. Traditionally manual tasks, such as data entry, are replaced by Robotic Process Automation (RPA) or “bots” that are programmed to handle these tasks more efficiently and accurately. Additionally, with access to all the technological features that exist within the application, users can find solutions more quickly without extra work.
Making Life Easier
"My job is to make your job easier by creating automation tools, using data science, artificial intelligence and machine learning to develop and deliver more productivity for your business."
- Rob Gontarek
ImagineOne™ , combines multiple tools such as AI, rule-based systems, machine learning, and RPA bots, to reduce operations costs by 75%+ with total automation of 95%+, creating capacity and allowing focus to be better placed on important tasks that need true human intervention.
ImagineOne™ features a new, modern interface that ensures users can easily transition across applications. It also provides an aesthetically pleasing experience, making ImagineOne™ enjoyable as well as efficient for the end user. The platform’s foundation incorporates the very latest concepts and technologies in software development, ensuring a system that is future-proof, highly scalable, and able to continually benefit from the integrated layer of artificial intelligence automation. In addition, ImagineOne™ offers many features to help streamline workflows that are designed to complement the user-friendly interface while also improving system speed and responsiveness significantly.
Imagine the Impossible, Possible.
By leveraging historical data, predictive models, and inferencing engines, the implementation of AI and machine learning in ImagineOne™ ensures increased efficiency, improved claim accuracy, and enhanced decision-making within compliance. The overall goal is to minimize errors and create a seamless, end-to-end revenue cycle management method that limits true human intervention as much as possible while supporting ongoing essential processes. Continuous training and improvement of these models further ensure their accuracy and reliability over time. Adopting a modernized platform like ImagineOne™ represents a compelling vision for the future of quantum leap technology in healthcare.