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Check out our reservoir of information related to check recognition and healthcare payment technologies. We frequently update this section with the latest news, trends, and analysis of the banking and healthcare industries.

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Platform Modernization

Both the financial and healthcare industries are undergoing modernization initiatives in check payments and remittance.  See how OrboGraph is using AI, self-learning and deep learning models to drive innovation in these industries to deliver workflow automation.

Platform Modernization

Modernizing payments in the banking and healthcare industries

AI, Self Learning & Deep Learning Technologies

Optimized AI and deep learning models for the automation of check processing and healthcare posting

Operationalizing AI & Self Learning in Checks

Revolutionizing check processing and fraud prevention for the banking industry

Delivering Healthcare Payment Electronification

Increased accuracy levels, decreased error rate for healthcare payments posting

Product Videos

See how each product/service module of OrboAnywhere and OrboAccess delivers value from our check and healthcare payment platforms

Corporate Video & Podcast

See and hear how OrboGraph incorporates AI, deep learning and self learning technologies into its product suite

Healthcare Payments

OrboAccess automates remittance and payment posting as well as enables full research and business intelligence analysis for RCM companies, clearinghouses, billers, and providers.

Access EOB Conversion

Delivers EOB/EOP electronification with information intelligence via AI and deep learning technologies

Access Correspondence Letters

Extracts posting data and tracks reimbursement progress via workflow management

Access Payment Reconciliation

Streamlines the reconciliation process of ERA, ACH, EOB and checks

Access Patient Payments

Automates patient payments for posting

Access Denial Intelligence

Spotlights trends in denials to reduce receivables via prevention

Healthcare Payments Automation Center

Scalable, reliable, flexible cloud-based hosted data center on Amazon Web Services (AWS)

Modernizing RCM with AI

An informative resource to assist RCM companies in understanding how to solve today's problems with the help of AI.

Check Processing

OrboAnywhere automates paper originated payments (i.e. checks, money orders, drafts) and remittances for balancing and posting while reducing risk and losses in the areas of check fraud, payment negotiability and compliance.

Anywhere Fraud

Transaction and image analysis for on-us and deposit fraud detection of counterfeits, forgeries, and alterations.

Anywhere Recognition

Divergent multi-engine CAR/LAR, ICR, OCR & AI check recognition for the Omnichannel

Anywhere Validate

Validate payment negotiability of paper originated items

Anywhere Payee

Match, read, and validate payees for risk and operational workflows

Anywhere Positive Pay

Payee name verification of business checks using issue files

Anywhere Compliance

Mitigate risk in check payments for OFAC, BSA/AML, UCC, Reg CC, and KYC

Restrictive Endorsement

Automatic validation of restrictive, mobile and non-restrictive endorsements

Traditional Products

Based on the Accura XV platform

Modernizing Omnichannel Check Fraud Detection

An informative blog series exploring payments fraud and image technologies used to fight financial crimes.


You might imagine that only persons involved in high-end technical jobs are dealing with Artificial intelligence (AI), but it's actually used widely in an array of industries. For example, in consumer cameras like the Sony A6600, AI aids in identifying specific faces and eyes in its follow-focus feature. AI plays a role in everything from image recognition to data analysis.

The revenue cycle management (RCM) field is feeling the benefits of AI already, using the tech to sift through huge amounts of data and identify even the most subtle of data-shifts and trends in ways that can reveal a whole new level of effectiveness -- and efficiency. Other benefits include:

  • Significant automation of repeatable tasks (as learned in a previous post, can utilize RPA) - but when manual intervention such as data extraction from forms or EOBs is needed, leave it to AI to find the most impactful intervention point
  • Active prioritization in denials workflow can optimize account-level payment and denial risk factors
  • Workflow specialization can strategically assign accounts to staff with the most relevant, specialized and advanced skill-sets to maximize results

Medical Economics has posted an article that provides a look at ways RCM professionals can best leverage AI as a valuable tool. While AI tech is indeed amazing, it is important to deploy it wisely:

Payer denials of submitted claims, for example, involve a rich set of data that could indicate a wide range of potential problems. The issue could be in the claims process itself, the documentation, the training, or the execution. But if you don’t understand the root of the problem, you won’t be able to design an effective solution—or even determine if an AI tool could be a productive remedy. AI-driven support is likely to be most effective when implemented throughout high-touch processes, or those processes that are regularly problematic and require frequent and continued intervention.

Another best practice in applying AI solutions is to define success—and the metrics you will use to measure that success—early in the process. Perhaps it’s to reduce the number of days for the average claim submission lives in the system, or to reduce the number of denials. Define success, measure your baseline well, and be clear about your desired outcomes.

OrboGraph has, of course, embraced AI along with Machine Learning and Deep Learning, in both healthcare RCM and banking. AI coupled with self learning improves as you utilize the system, so early adopters are gaining distance from the pack every day. The full and true potential of AI is realized with the collaboration between revenue cycle experts and data experts. Check out this video detailing how AI is deployed in RCM payment automation.

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