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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

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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

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Increased accuracy levels, decreased error rate for healthcare payments posting

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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.

Attendees at the Becker’s Hospital Review 3rd Annual Health IT + Revenue Cycle Conference in Chicago were treated to a panel of healthcare heavyweights discussing revenue cycle performance.

The distinguished group included Vice President of Revenue Cycle Management at San Diego-based Sharp HealthCare Gerilynn Sevenikar; Vice President of Product Management and Revenue Cycle Analytics at Change Healthcare Jason Williams; and Director of Revenue Cycle Management at Bellafontaine, Ohio-based Mary Rutan Hospital David Kelly. Sam Reynolds of Ernst & Young moderated the panel.

Let’s jump right to their five primary observations, as reported by Becker’s Health IT and CIO Review:

1. An unexpected medical bill is disturbing to patients. Hospitals can combat an unexpected bill by sharing benefits information and estimates on how much their care will cost out of pocket.

2. Artificial intelligence will automate many aspects of the billing process, leading to a leaner billing department. The staff who remain on the billing team will see their responsibilities change from collecting and submitting claims to vendor management and technology management. “I have to go on a multiyear training pathway…That’s one of the biggest obstacles in the transition to AI,” said Mr. Kelly.

3. The claims submission processes are continuously evolving and the dynamics of the workforce is changing. Ms. Sevenikar transformed her billing department with an eye to the next generation of billers — digital natives — who will be responsible for only the claims that need an individual touch with additional levels of intelligence. “We’ve got the analytics over our workflow… I want to know when my employees have the best day they’ve ever had,” said Ms. Sevenikar.

4. Healthcare organizations are increasingly participating in value-based care and are looking at ways to deliver when their models are no longer experimental. Ms. Sevenikar’s experience in California, which has a high percentage of managed care capitation, prepared her for the transition to more risk-based and value-based contracts.

5. Many hospital executive teams gather and analyze data, but only share the data among the C-suite, leaving front-line workers in the dark. Mr. Williams stated, “… you have shared the score with meaningful stakeholders and not just administrative stakeholders sitting in the CBO.”

Of the five major points, four involve management tasks focusing on data analytics along with system automation tools. Many vendors on the market offer centralized hubs which have varying levels of functionality; however, the concerning part is the comment about multi-year deployment and training paths. Considering the components of the HPAC Platform along with 30-60 day onboarding times, one should appreciate how this system can solve these problems immediately.

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