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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)

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 with AI Solutions That Deliver RCM Electronification

Modernizing with AI Solutions That Deliver RCM Electronification

It’s time to rethink revenue cycle tech from the outside in.


Keeping your revenue cycle technology “caught up” with customer requirements — a process we call platform modernization — doesn’t just let you grow your business, it enables your organization to react to market changes from any direction. This includes everything from labor to scalability issues, backup, disaster recovery, and the continuous evolution of HIPAA and other security regulations.


While platform modernization sounds like it involves a complex laundry list of new technologies, it’s actually highly accessible through artificial intelligence (AI). Let’s take a look at the key considerations to modernizing a revenue cycle platform.


Fewer Errors with Language Interpretation


You’ve probably used natural language processing (NLP) when you asked Google, Alexa, or Siri a question. But in the electronification world, the potential goes a lot further than ordering another box of laundry detergent or asking what the weather will be.


NLP is already used by clinicians to document care, but it’s also being developed to log natural free-flowing conversations between patients and providers. What does this mean for the revenue cycle? It means AI could turn the billing and coding process on its head.


According to CMS, coding errors resulted in $31.62 billion in improper payments in FY2017 alone. NLP, in conjunction with machine learning, can reduce and potentially eliminate the highly manual and error-prone coding process and bring healthcare organizations one step closer to straight-through electronification of their revenue cycle workflows.


Electronifying Remits and Paper with AI Automation


Would you consider OCR (optical character recognition), to be a part of AI? Well traditionally, it isn’t. OCR was purely a method of deploying algorithms to match shapes and formats. However, as time has evolved, different flavors of OCR are using AI technologies.


When it comes to reading healthcare remittances, correspondence letters and other traditional paper-originated transaction documents, traditional OCR just isn’t good enough. So RCM companies had to incorporate heavy data entry, validation and rekeying processes to overcome subpar results to mitigate posting errors and customer/patient satisfaction issues.


When used in conjunction with the layered neural networks that make up deep learning technology, OCR becomes complementary to the process, rather than the only data source. This transformation enables a “machine processing” environment with 99.9% accuracy. The result is an electronification of the workflow!


AI automation brings other benefits; it is not susceptible to attrition, illness, weather changes, or labor issues like other systems. Self-learning systems also improve over time as they process higher volumes of remittances. Much better than human processes!


Keeping Technology Relevant with Predictive Analytics


Patients play a major role in the revenue cycle, so getting them on the electronification wagon matters too. Patient communication and transactions are heavy drivers in keeping the revenue cycle stuck in the age of paper — from using paper statements to checks.


Too many providers default to sending paper statements on a set cycle in 30-day increments. Many organizations, though, are using AI (in the form of predictive analytics powered by deep learning) to determine the most effective billing methods that align with individual patient behaviors, and send paper statements only when necessary. Beyond that, AI is also being used to identify which patients are more likely to pay via electronic methods and encourage this payment whenever possible.


Want to learn more about AI, self-learning, and deep learning technologies that apply to today’s healthcare challenges?

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