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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 and Deep Learning-Based Check Processing

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 for any check image capture workflow.

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.


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.


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!

OrboGraph Recognized as 2021’s Top 10 Healthcare Interoperability Solution Company

As we've noted in both Modernizing RCM with AI and the OrboNation Healthcare Payments blogs, Interoperability continues to be a point of emphasis in the healthcare industry, particularly when it comes to revenue cycle management. Unlocking the immense benefits of data interoperability in healthcare has huge benefits for payers, patients, and every person and organization in between.

Top 10 Interop award logo

This is an area that OrboGraph embraces, as OrboGraph's solution delivers full automation of back-end payment processing via electronification of EOBs, remittances, correspondence letters, and patient payments through the use of data extraction technologies based on AI and deep learning models.

Healthcare Tech Outlook Criteria

Healthcare Tech Outlook is a leading print and digital magazine in the healthcare industry, offering healthcare decision makers with critical information on adopting, innovating, and building new programs and approach to enhance their capabilities to provide care. The magazine also comprises insights from thought leaders in the sector on the industry trends, best practices, recent innovations, and their advice for aspiring CIOs and CXOs.

Healthcare Tech Outlook's criteria process starts with identifying companies that provide solutions and/or technologies that are disrupting the healthcare industry. From there, a rigorous interview process is performed, with the identified companies needed to complete a questionnaire. If the companies meet the criteria, an interview is performed with the identified company to further explore its solutions and/or technology.


Once the process is performed, the magazine reviews the information from all the companies and identifies which compares are most deserving of the recognition within the magazine.

Meeting Data Interoperability Challenges with Technology

The key to achieving true healthcare data interoperability is clear: The industry must adopt new and innovative technologies like Artificial Intelligence. OrboGraph approaches data interoperability with a focus on revenue cycle, through its OrboAccess solution suite leverage OrbNet AI technology. As noted in the article:

The OrboGraph solution delivers full automation of back-end payment processing via electronification of EOBs, remittances, correspondence letters, and patient payments through the use of data extraction technologies based on AI and deep learning models.

“Interoperability is achieved via a variety of standard and customized technical alternatives. In the case of many OrboGraph clients, the default approach is to push data to the OrboGraph Healthcare Payments Automation Center (HPAC) SFTP server. Other large clients allow HPAC to connect to their servers and initiate the pulling and pushing of pre-processed and processed work,” says Barry Cohen, the General Manager of OrboGraph.

The article goes on to note some real-world use cases. You can access these on our Healthcare RCM Case Studies page.

OrboGraph continues to push the healthcare industry to adopt new and innovative technologies that work together to achieve healthcare data interoperability. This enables healthcare organizations to pivot from heavy reliance on BPOs and manual labor -- which, as the pandemic has shown us, are fraught with errors and suffer from major weaknesses when it comes to system resilience.

We appreciate this recognition from Healthcare Tech Outlook and its readers, and look forward to another year of innovation and leadership!

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