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AI Innovation

Both the financial and healthcare industries are undergoing an AI evolution. Review our vision for Artificial Neural Networks (ANN) and deep learning targeting these industries.

AI-Based Check Automation

Check recognition & fraud detection are the most important components in today's check processing and omni-channel capture. Learn how OrboAnywhere using OrbNet AI technology reduces costs and mitigates risk.

AI-Based Healthcare Electronification

OrboAccess, powered by OrbNet AI, provides electronification to remits and payments, enabling RCM companies to automate posting, improve research, and deliver business intelligence

About Us

Celebrating 25 years of innovation, OrboGraph has transformed into an AI company delivering targeted automation solutions to the banking and healthcare industries.

Resources

From news and events to case studies, trends, and videos, this section provides a range of information resources for payment automation in the banking and healthcare industries.

Blogs

OrboGraph produces four blog series on a weekly basis covering topics from check processing, fraud prevention, AI technologies, RCM, and healthcare electronification. Select one the blog to the right. We hope you enjoy!

The hospital revenue cycle is facing unprecedented shifts on multiple fronts, and this Change Healthcare podcast episode with Thomas Laur, EVP and president of the company’s Technology Enabled Services business provides high level, forward-looking insight for vendors in the RCM space.

It is especially useful to any revenue cycle servicer interested in looking past superficial ideas of disruption and moving on to understand how RCM is evolving in terms of the future of financial transactions. It additionally addresses opportunities for the practical application of emerging technologies, including AI and machine learning.

Key Takeaways

Here are the most important points we’ve pulled from Change Healthcare’s conversation.

Revenue cycle is a high-friction conversation between payers and providers and one that has traditionally relied on labor. Their respective tools are different and imperfect, lending to the friction — an issue that will be solved through technology.

Predictions

Over the next 5-10 years, Change predicts that we will see exponential impact from robotics process automation (RPA), as well as AI and Machine Learning, allowing providers to collect more, faster, with better predictability and a fraction of the current cost to collect, taking a large portion of labor out of the process. This will become a key competitive advantage for providers as new opportunities to reduce friction emerge.

Digging Deeper into RCM Evolution

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