Automation AI Bots Streamline Podiatry Center's Accounts Receivable Process

Explore how a podiatry center transformed its accounts receivable with automation, enhancing efficiency, reducing errors, and improving patient experiences.

Table of Contents

Introduction

In the ever-evolving landscape of healthcare, efficient revenue cycle management (RCM) plays a pivotal role in the financial sustainability of medical centers.

  • The esteemed Podiatry Medical Center faced a daunting challenge: a mounting backlog of pending accounts receivable (AR) claims dating back to October 2019.
  • This backlog caused a significant imbalance, creating operational bottlenecks with numerous unpaid and underpaid claims.
  • In a bid to restore financial equilibrium, the medical center embarked on an automation journey, enlisting Medientsky Billing as their technology partner.
  • Collaboratively, they introduced an innovative solution utilizing AI bots to efficiently handle and resolve pending AR claims.

Challenge at Hand

The situation faced by our Podiatry Medical Center client was undeniably critical.With an ever-increasing backlog of pending AR claims, they found themselves waiting on more than $100,000 in collections every quarter.The imbalanced scenario of unpaid and underpaid claims not only affected the center’s financial stability but also strained its administrative resources.Traditional methods have proven ineffective in addressing this challenge. The manual, repetitive tasks of reconciling claims were overwhelming, leading to errors and delays.

Compliance Concerns:The facility’s non-adherence to vital regulations, impacting patient trust and safety, made up 10% of its operational issues.

The sheer volume of the backlog, which had ballooned to approximately 96,000 claims by August 2023, necessitated a swift, cost-effective solution.

Our Solution

To confront this challenge head-on, Medientsky Billing collaborated closely with the client to understand the intricacies of their AR process. The goal was clear: create an automated solution that would streamline the resolution of pending AR claims, ensuring accurate account balancing and precise financial accounting. The solution devised by Medientsky Billing leveraged the power of Robotic Process Automation (RPA) and AI bots. Here’s a breakdown of how the process was executed:

1. Identification of Unpaid Claims

The AI bot was programmed to identify unpaid claims and open line balance claims for each patient’s encounter, with a focus on the date of service (DOS).

2. Transferring Unpaid Amounts

The primary objective of the bot was to transfer unpaid amounts from pending claims to open line balance claims. This strategic move effectively reduced the payment due on the latest claim. This process was repeated iteratively for the same patient account until no such claims existed.

3. Claim Status Updates and Documentation

As an integral part of the solution, the AI bot meticulously updated the status of the claims. Additionally, it maintained a transfer sheet, meticulously documenting every financial transaction in accordance with the client’s specific requirements.

4. Notifications for AR Specialists

To ensure transparency and accountability, the AI bot sent out notifications to designated accounts receivable specialists. These notifications provided a succinct summary of the financial movements for each claim.

The Impact: A Leap in Efficiency and Accuracy

The implementation of the Accounts Receivable bot brought about transformative changes:

1. 100% Success Rate

Perhaps the most remarkable achievement was the bot’s unblemished success rate.

It flawlessly executed its tasks, eliminating errors and significantly reducing human intervention in the AR process.

2. Dramatic Time Savings

Before the introduction of automation, manual tasks related to AR resolution consumed a significant amount of time, ranging from 10 to 20 minutes per patient.

With the introduction of the RPA bot, this time was dramatically reduced to under 4 minutes per patient encounter.

Results

The impact of this AI-driven transformation was nothing short of exceptional. Let’s examine the tangible outcomes:

Before:

Annual Cost of Handling AR: $98,000

After:

Annual Cost: $23,000

Cost Savings: $75,000

Return on Investment (ROI): 133.3%

The Need for Automation in Healthcare RCM

The healthcare industry has been undergoing a paradigm shift in recent years, with a growing emphasis on patient-centric care and operational efficiency. For medical centers like our Podiatry Medical Center, ensuring a smooth revenue cycle management process is paramount. Revenue cycle management encompasses all the administrative and clinical functions that contribute to the capture, management, and collection of patient service revenue. It is a complex and multifaceted process that involves patient registration, insurance verification, claims submission, payment posting, denial management, and more. One critical aspect of revenue cycle management is the resolution of accounts receivable (AR) claims. These claims represent outstanding payments owed by patients and insurance companies for the services provided by the medical center. Timely and accurate resolution of AR claims is essential for maintaining healthy cash flow and sustaining the financial health of the healthcare facility.However, as our Podiatry Medical Center discovered, managing AR claims can be a daunting task, particularly when there is a significant backlog. The challenges they faced were not unique to their institution but reflected broader issues that many healthcare providers encounter. These challenges include:

Increasing Volume of Claims: Healthcare organizations often deal with a high volume of claims, each with its own intricacies and requirements. Manual processing of these claims can be time- consuming and error-prone.

Complex Billing Rules: Healthcare billing involves navigating a complex web of insurance policies, regulations, and coding guidelines. Staying compliant while ensuring accurate billing can be challenging.

Resource Constraints: Healthcare facilities are often constrained by limited resources, including staff hours and budget. Manual AR resolution can strain these resources and lead to inefficiencies.

Revenue Leakage:Unresolved AR claims can lead to revenue leakage, where potential revenue is lost due to delays in claim resolution or inaccuracies in billing.

Conclusion: A Blueprint for Success

The success story of our Podiatry Medical Center’s automation journey illustrates the transformative potential of automation in healthcare RCM. By addressing the specific challenges of AR claims resolution, the center not only achieved substantial cost savings but also laid the foundation for enhanced efficiency and accuracy in its revenue cycle management processes.This case study serves as a blueprint for other healthcare providers seeking to navigate the complexities of RCM and unlock the benefits of automation. It demonstrates that with a clear vision, the right technology partner, and a strategic approach, healthcare facilities can streamline their operations, improve financial health, and, most importantly, focus on what matters most – delivering exceptional patient care.As the healthcare industry continues to evolve, automation will remain a key driver of efficiency and innovation. By embracing the potential of AI bots and RPA, healthcare providers can position themselves for success in a rapidly changing landscape.

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