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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

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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.

One of the primary topics scheduled to be covered at this year’s HIMSS20 was — no surprise – the use of Artificial Intelligence in modern healthcare administration.

However, the “surprise” came a week ago when HIMSS20 was cancelled due to the coronavirus pandemic — a wise move given the emerging nature of this worldwide medical emergency. Nevertheless, healthIT vendor Optum has prepared the OptumIQ Annual Survey on AI in Health Care, which they had every intention of sharing at HIMSS20.

Optum believes, as do many of us, that AI adoption was of paramount concern leading up to this newest challenge, and is absolutely vital now — the complex set of technologies can achieve quite a lot on the administrative side and on the clinical side.

HealthCareIT News interviewed Robert Musslewhite, CEO of OptumInsight at Optum, in advance of HIMSS20 (and before the emergence of coronavirus and its attendant challenges) about trends to keep in mind going ahead.

“Last fall, we asked 500 U.S. health industry leaders including hospitals, health plans, life sciences and employers for their perspectives as part of the 2019 OptumIQ Annual Survey on AI in Health Care,” he said. “These leaders told us their organizations plan to invest an average of nearly $40 million in AI over the next five years.” (Download a survey Fact Sheet here.)

Some of Mr. Musslewhite’s observations derived from the survey:

  • Investing — Organizations plan to invest an average of nearly $40 million in AI over the next five years.
  • Results — Healthcare organizations are seeing tangible results and positive impact from their use of AI — signaling a broader, growing eagerness across the industry to apply advanced technologies and data analytics more broadly to critical decision areas.
  • Increasing demand for AI talent – Many organizations are seeking deeper expertise on how to use these technologies and leverage ongoing breakthroughs and improvements. To meet this growing need, increasingly they are engaging and partnering with outside firms that can bring needed talent and scale.
  • Automation — Applying to back office, repetitive tasks, including a variety of administrative challenges such as automating pre-authorizations, managing electronic health records, and detecting fraud, waste, or abuse in reimbursement.
payment automation

The observations are encouraging for advocates of Artificial Intelligence in healthcare, most notably that healthcare organizations are seeing tangible results and positive impacts. The ability for healthcare organizations to leverage artificial intelligence to automate repetitive administrative tasks and, as a result, broaden the utilization of this technology will undoubtedly revolutionize the healthcare industry.

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

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