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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News and trends for 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

AI and the Resurrection of Moore’s Law

Azeem’s Diagram

Moore’s Law famously states that the number of transistors on a microchip doubles every two years, though the cost of computers is halved. A new essay on Medium.com explores how Moore’s Law had actually been “phasing out” for a period of time:

Moore’s Law, one of the fundamental laws indicating the exponential progress in the tech industry, especially electronic engineering, has been slowing down lately (since 2005, to be more precise), and has led many in this sector to believe this law to no longer hold true.

However, a new player emerged to bring Moore’s Law back to life:

That was, until Artificial Intelligence joined the arena! Since then, the game changed, and Moore’s law is slowly being revived.

Fast forward to 2018: we have, and are still gathering, massive amounts of data. We have and are still developing more and more advanced algorithms (Generative Adversarial Networks and Capsule Networks stand as strong examples.) But do we have the hardware to crunch all those calculations within reasonable time? And if we do, can it be done without having all those GPUs cause another global warming on their own by literally heating up from all the processing? (See Azeem’s Diagram above)

Right there, Artificial Intelligence is imposing a constraint: keep the power constant or decrease it, but increase performance… doesn’t that sound a bit familiar to some scaling rule we have just seen? Exactly, by forcing the tech industry to come up with new processors which can perform more calculations per unit time, while maintaining power consumption and price, Artificial Intelligence is imposing Dennard Scaling again, and hence forcing Moore’s Law back to life!

Meanwhile, some predictions on the future of AI and ML in eight different sectors. We are, of course, concerned with AI and healthcare:

“When it comes to healthcare, there’s a lot machines can do to help the doctor. I don’t see a future where we actually don’t have doctors guiding, but a lot of the busy work doctors have to do is better done using artificial intelligence. If you think about a doctor’s career, thirty or forty years, the number of patients you can see during that time period is very limited. Many doctors are burnt out, overworked — it’s a serious issue. They also don’t have time to keep themselves up to date on the most recent research, treatment techniques, and advancements in medication. Machines can play a very important role here. Artificial intelligence can access a much larger set of patient data of how they were treated and what the outcomes were. You can imagine machines being in a much better position, because machines can start doing the busy work around the diagnosis and humans can actually interact with the patient and work with artificial intelligence to improve outcomes. That, in my mind, is super exciting.” – Serkan Kutan, CTO at Zocdoc

The applications for AI in healthcare is limitless. From performing the “busy work” around the diagnosis of a patients and improving their health, to observable and ongoing benefits to healthcare remittance and payment automation through solutions like Access EOB Conversion, we can expect growing demand for AI to revive the emphasis on hardware and chip efficiency — good news all around!


This blog contains forward-looking statements. For more information, click here.

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