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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.

As revenue cycle leaders continue to prioritize innovative responses to growing industry challenges, HFMA has stepped forward in partnership with Change Healthcare with a look at the opinions and actions of some of the most forward-thinking voices in the field. This roundtable interview with leaders in revenue cycle and technology provides invaluable insight for revenue cycle servicers, who are now facing mounting challenges of increasing paper-volumes, and a need for modern, end-to-end revenue cycle processes.

We support the industry and partners in their operations, data analytics, and business intelligence through our OrboAccess solution and encourage you to review the insights below to best understand your organization’s needs in these areas.

hfma logo
change logo2


  • Ken Baxter, VP, Revenue Cycle, CHOC Children’s Hospital
  • Christy Pehanic, Associate VP, Revenue Management, Geisinger
  • Thomas Laur, EVP Technology Enabled Services, Change Healthcare
  • Gerilynn Sevenikar, VP, Sharp Healthcare
  • Dan Malloy, Assistant Director of Revenue Cycle, Butler Health System

Key Takeaways

Identify the main factors of revenue cycle innovation.

The interview revealed several common trends among drivers of innovation including:

  • Tighter margins from a decline in reimbursements from both commercial and government payers
  • Increased competition from both traditional providers and emerging minute clinics and virtual care options
  • Changes in the general revenue cycle environment, including pressured reimbursement models, diverse technology platforms, regulatory changes, and provider consolidation
  • Escalating financial risk for providers in the form of growing patient responsibility and new payment models that push more risk off on to providers.

Learn more about the growth of PDF and paper volumes.

Locate key strategic areas for investment or outsourcing.

These areas included:

  • Denials that require clinical expertise for resolution
  • Front-end processes, including optimizing pre-encounter activities
  • Reframing utilization and improving capacity management

Learn about the benefits of investing in improved denial management, including benefits for patients.

healthcare documents

Use the latest technology to streamline and improve rev cycle performance.

Revenue cycle leaders are turning to:

  • RPA as a solution to address rule-based, high-volume, repetitive processes
  • AI and machine learning to increase revenue yield, maximize and speed collections, and improve predictability while lowering the cost to collect
  • AI to prevent denials and underpayments, enhance financial clearance, and improve eligibility while reducing manual labor involved in collecting

A look at a modernized revenue cycle platform.

AI over EOB-01

Make full use of data analytics.

Analytics can be leveraged to:

  • Evaluate the gap between anticipated and actual performance (e.g. examining payer payment times)
  • Providing real-time productivity data to employees and in turn, boost performance

A look at leveraging the cloud for big data analytics.

Medical Business condensed

Choose a revenue cycle partner based on technological innovation and data analytics capabilities.

Revenue cycle leaders are stepping into innovation by:

  • Identifying internal pain points and then finding a vendor who aligns with those opportunities to overcome challenges
  • Seeking out vendors that have the right capabilities and tools that grow with challenges over time
medical team meeting

As the revenue cycle continues to evolve, expect processes to become more automated, with the support of AI and machine learning. Over the next five years, expect to see human touches that are normal today, to largely become an exception, powered by the application of AI that is becoming increasingly predictive.

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