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Azure AI Recognition for Financial Reporting and Real-Time Updates

We implemented Azure AI for an RCM company, streamlining the processing of over a million invoices, even those with poor scan quality, to ensure accurate data synchronization and enhance financial management.

AI-Powered Financial Reporting Solution

Work

Implementing Azure AI recognition for a custom medical billing platform integrated with PCC to streamline financial reporting and facilitate real-time updates
Enabling data synchronization between multiple data sources

Summary

This project involved implementing Azure AI to transform financial reporting for our client — an RCM company that needed to process over a million invoices, including those with poor scan quality. The aim was to ensure accurate data synchronization and improved financial management.

Project Scope

Month

Developers

Team Lead

Tech Stack

Microsoft Azure Cloud Services

Find Out How Langate Transformed Financial Reporting for an RCM Company

Managing operations across multiple skilled nursing facilities (SNFs) can be complex, requiring coordination between various departments and systems. We created a custom, unified platform fully integrated with PointClickCare (PCC) that offers our client a comprehensive view of financial and operational data, streamlining their processes and improving efficiency. However, the client still faced challenges with invoice processing. The Langate team identified Azure AI as a solution that would provide automation and optimization of financial workflows, increased reporting precision, and insights for more informed decision-making.

The Client

Our client is a revenue cycle management (RCM) company that specializes in streamlining financial processes for skilled nursing facilities. They offer comprehensive solutions to optimize revenue generation, billing, and reimbursement, which ultimately allows their customers to focus on providing excellent patient care. The company has a deep understanding of the SNF industry and works to bridge the gap between healthcare providers and payers. They facilitate smooth transactions and timely reimbursements and implement tailored strategies to ensure compliance with regulations and maximize revenue capture.

The Problem

The business faced a significant problem in managing and processing over a million invoices from various healthcare providers across the US. Our client needed to process these invoices accurately — recognizing them, categorizing them, and linking to the correct companies. Our client needed to understand how many customers they were servicing. The solution our client required also needed to handle invoices that had been poorly scanned, which added complexity to the task.

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The Challenge

Challenge icon | 1 Poor Scan Quality

The scan quality of many invoices was suboptimal, making it difficult for standard optical character recognition (OCR) technology to recognize and categorize them accurately.

Challenge icon | 2 Large Volume of Data

Processing over a million invoices required a robust solution to handle large volumes of data without compromising accuracy or speed.

Challenge icon | 3 Real-Time Updates

The client needed a system that could provide real-time updates to facilitate better decision-making and improve financial management.

The Process

Langate began by thoroughly analyzing the client’s needs and the limitations of their existing system. Recognizing the challenges posed by poor scan quality and the high volume of invoices, the team selected Azure AI recognition for its advanced capabilities in processing and categorizing large datasets accurately. Throughout the process, Langate provided continuous support to fine-tune the client’s platform and address any emerging issues, resulting in a robust solution that significantly improved the client’s financial reporting and decision-making capabilities.

The Solution

Automated Invoice Recognition

Azure AI recognizes and accurately processes invoices, reducing the need for manual intervention.

Real-Time Data Synchronization

The work Langate had previously carried out to integrate PCC ensured that data was always up to date. This meant the client always had accurate financial reports.

Improved Decision-Making

Real-time updates allowed customers to make informed decisions quickly, improving overall financial management.

Achievements and Future Plans

The client was able to process over a million invoices more efficiently, saving time and reducing errors.
The plan is to further enhance the client’s platform by incorporating AI-driven features like predictive analytics to forecast financial trends and improve revenue management for skilled nursing facilities.