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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.


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!

  • Moving from "big data" to "wide data"
  • Visualization of data through DataOps and technology
  • Data Visualization benefits for the Revenue Cycle Management

In the digital world, we are seeing tremendous growth and robustness of data being collected through various systems, particularly in healthcare. Many people are familiar with the concept of "big data" and, in recent years, have deployed initiatives to understand and mine that data. However, in many cases, the data is fragmented, coming from various sources and different formats leading to the inability to fully harness the power of the data.

Big data

According to a recent press release from Gartner:

By 2020, most data and analytics use cases will require connecting to distributed data sources, leading enterprises to double their investments in metadata management.

Facilitating Data Aggregation

Qlik, a leader in turning data into business value, offers 10 trends to focus on that help sort out the data landscape (download full white paper):

Key takeaways from the white paper:

  • Wide Data - focus on the variety of the data, not total amount
  • Create a DataOps team to facilitate data integration
  • Utilize metadata and technologies to correlate data points
  • Empower data literacy to your clients

By taking into account the trends within data, RCM servicers can provide meaningful data analytics and business intelligence for their healthcare clients.

Visualization of Wide Data for Business Intelligence

Research shows that around two-thirds (65%) of people are visual learners. Concepts that are difficult to understand -- or in this case, large amounts of fragmented data -- present a challenge for many to fully grasp.

From a RCM servicers prospective, taking the wide range of data and transforming it into visuals serves as a best approach to illustrate value to healthcare organizations. It is important to deploy technologies and platforms that will aggregate data from electronic remittance advice from payers -- along with data from paper-based remittances/EOBs and correspondence/denial letters -- to provide a full scope of the landscape and provide visual representations of trends for business intelligence.

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