Resources

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.

2019 Tech Conference

May 20-21, 2019
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Industry Videos

News and trends for the banking and healthcare industries

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Testimonials

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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

AI, Self Learning & Deep Learning Technologies

AI, Self Learning and Deep Learning Technologies

The genesis of Artificial Intelligence (AI) began in 1944, when two University of Chicago researchers proposed the concept of a neural network (NN) as a computer system modeled on the human brain and nervous system. These originating artificial neural networks laid the foundation for machine learning and deep learning.

 

Today’s nomenclature surrounding AI includes several important terms:

 

  • Neural Network: A computer system modeled on the human brain and nervous system.
  • AI: Systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
  • Self Learning: Ability to recognize patterns, learn from data, and become more intelligent over time (can be AI or programmatically based).
  • Machine Learning: AI systems with ability to automatically learn and improve from experience without being explicitly programmed via training.
  • Supervised Training: Training where both input and desired output data are provided.
  • Unsupervised Training: Training of an AI model using information that is neither classified nor labeled, allowing the system to act on this information without guidance.
  • CNN: Class of deep, feed-forward artificial neural networks, most commonly applied to analyzing visual imagery. This class uses a variation of multi-layer perceptrons designed to minimize pre-processing of image data.
  • RNN: Type of neural network commonly used in speech recognition and natural language processing (NLP).
  • Robotic Process Automation (RPA): Automated handling of high-volume, repeatable tasks that typically required humans to complete.
  • Deep Learning: A more sophisticated method of machine learning based on Deep Neural Networks (DNNs) with a greater number of internal layers. Each successive layer uses the output from the previous layer as input.

 

There are many applications for AI including classification of objects, conversing with customers, automation of repetitive computer tasks, and real-time identification of trends in data performed by AI bots. However, let us not forget that one of the core functions for neural networks was, and continues to be, character, field and word recognition.

 

OrboGraph technology has evolved with the utilization of Deep Learning models. These optimized models for checks and healthcare remittances are trained specifically to the attributes of each field. This training provides the information for the model to provide unparalleled levels of recognition rates coupled with accuracy levels never before attained in field performance.  Core field success rates can exceed 99.5% successful reads with accuracy levels of 99.9% depending on field requirements.

 

Platform Modernization using OrboGraph’s AI, self learning and deep learning technologies can transform the operational workflow for both check and healthcare processing.  Check out more details in Operationalizing AI, Self Learning in Check Processing or Delivering Healthcare Electronification.

Operationalizing AI and Self Learning in Check

Delivering Healthcare Electronification

Platform Modernization

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