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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

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.

How Billing and Collections Are Revolutionized by AI

How Billing and Collections are Revolutionized by AI

A message to billers and revenue cycle servicers: Providers need your help more than ever — the days of passive cash collection are long gone. As a matter of fact, we’ve entered an era where even traditional strategies won’t be enough to expedite cash collections, reduce denials, and improve receivables.


Strategy: Add Value and Reduce Cost


Today’s business model expects both cost reduction and added value. Building the strategies to accomplish this requires support from outside partners.


Hospital leaders will have a hard time championing cost reduction if they aren’t first collecting on every dollar possible. This is why there’s even more reason to be excited about artificial intelligence (AI) and its ability to reduce manual collection intervention while enabling efficient, automated processes. Take a look at all of the applications and departments that can benefit from AI.


Technology that Drives Value


Providers and RCM tech companies are working to modernize software systems. This will reduce costs by eliminating manual processes, streamline support of infrastructure, and drive digital transformation at the enterprise level. Achieving this goal in a sustainable way is impossible without AI, and specifically, Deep Learning technologies that learn and evolve to keep up with the increasingly complex needs of the healthcare revenue cycle. See how the priorities of healthcare map to AI.


Paper is Growing, Electronic Declining?


The CAQH 2017 Index revealed that adoption of fully electronic remittance advice actually dropped from 56% to 48% between 2017 and 2018. Although many larger hospital systems are receiving over 90% native electronic payments and remittances, many others see increases in paper due to prioritizing other functions in RCM — “Giving up” on the dream of full electronification seems to have resulted in a spike in the use of online portals and PDF downloads.


That paper overhead? It’s a human problem solved by technology.


Through Deep Learning, that diverse mix of EOBs/EOPs and PDFs can all be digitized and converted to data. This “hybrid” electronification is a viable step toward getting the most out of the revenue cycle.  


Achieving Automated Remittance Posting with AI


A study from market research firm, Eliciting Insights, revealed that almost 33% of hospitals surveyed did not have a technology solution in place to handle automated remittance posting — meaning they’re shouldering the cost of manual workflows and the unnecessary risk inherent in human processing.


Solutions that automate insurance payment processing via targeted AI and Deep Learning models empower providers and revenue cycle companies to deliver “the end game” — a straight-through process for posting payments.


Now the Value — Stopping Leakage


According to TransUnion Healthcare, in 2012, patients were responsible for just 8% of their bill. Five years later, that percentage had jumped to 12.2%. In that same time period, commercial insurance patients saw patient balance after insurance (PBAI) jump 67%, leading to an 88% increase in overall hospital revenue attributable to PBAI.


This is a problem. Most IT systems were designed around documentation of care and submitting bills, largely forgetting patients — meaning that on their own, these systems are a liability in bringing the revenue cycle in sync with the patient experience.


By using the data extracted from EOBs/EOPs, providers and RCM companies can perform deeper analysis of the transactional details and situational factors that lead to patient payment leakage.


Operationalizing AI aligns with organizational strategy and creates real sustainable change in the hospital revenue cycle. Take some time to review this list of companies which use hybrid electronification as part of their healthcare payments strategy.

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