Close this search box.

Case Study

Healthcare Provider Reduces Cycle Times to Patients with RPA

Client Profile

The client is a leading medical supplier of various products and services in the rehabilitation space. The Company also provides maintenance and repair services for the products it supplies.

Business Challenge

Patients had to wait extremely long cycle times from the time they first engaged our client until they received their products. There are a number of reasons for this long order cycle time, including supply chain and manufacturing dependencies, but a major factor was the ongoing, and highly manual, insurance claims process. Changes to the patient’s insurance policy information, including provider, address, or plan coverage, caused significant delays in the ordering process, and often required the company to re-start the process when the patient’s insurance information changed.

Auxis RPA client provides products and services in the rehabilitation space

In addition, keeping up with the rules of different insurance plans was difficult, time consuming and prone to error. Specifically, for Prior Authorization, the number of days it takes for insurance companies to respond varies extensively, requiring company employees to repeatedly check on the status of a large number of requests. The manual and repetitive nature of this process can lead to a delay in registering a payer’s approval/denial which delays the delivery of the products.

The longer the order takes to complete, the more likely changes to insurance coverages would occur (e.g., provider, deductible, coverage, out of pocket amount, etc.).

As a result, the company had to perform multiple insurance verifications at various stages throughout the ordering process in order to ensure that a patient’s coverage is current throughout the whole process, up to the time of their delivery.

The client understood that shortening the life cycle of the order would give them a significant competitive advantage, and was looking to decrease cycle times significantly, while at the same time, reducing the impact of insurance plan changes and decreasing the amount of manual data entry and follow-up required.

Solution & Approach

Robotic Process Automation

The client consulted with Auxis to determine how to reduce the order cycle for its customers, and also improve the accuracy of the ordering process. Together, it was determined that the client needed to focus on the steps in the process that required the most manual effort, which would frequently contribute to the delays. Implementing Robotic Process Automation (RPA) was an ideal solution to increase efficiency in the insurance verification, prior authorization submission, and prior authorization follow-up activities being performed manually. The strategy was to automate the activities within these processes that did not require any analysis and decision making on the part of the company’s staff.

“Implementing RPA solutions into our order process has truly allowed us to refocus our team’s time to more meaningful tasks. This has allowed us to reduce processing cycle time while improving order accuracy and gain significant efficiencies”

Chief Operating Officer
Healthcare Provider Company

Auxis worked with the client to deploy several unattended robots designed to use the information within the customer’s proprietary order management system to determine whether the order can be worked by the “bot”, or reassigned to a person for further review/analysis. Additionally, the bots would log in to the web portals of various payers (the insurance companies) to review information pertinent to the customer’s coverage and order status. The key processes automated included:

1. Insurance Verification

The bots pull information out of a work queue within the client’s patient and order management databases and use that information to review the customer’s insurance policy and coverage details from the provider’s portal. Based on a series of pre-determined validation rules, the bot decides how to proceed with the order, and updates the customer and order management system accordingly. Below are a few examples of tasks the bot performs to advance orders to the next stage in the process:

  • Validate key customer details including first name, last name, DOB
  • Validate policy details, including that it is active. Confirm that customer does not have any other existing conditions or other claims that might impact coverage
  • Check the deductible amount, out of pocket maximum and other details that might impact the amount that the customer may be required to pay
  • Add order notes detailing work that the bot performed
  • Reassign the order for review by a person if certain validation criteria are not met.

2. Prior Authorization Submission 

After the initial insurance verification step is complete, the bots collect all documentation from the customer’s physician to request pre-authorization from the insurance company, in advance of ordering the device.

Below are a few examples of tasks the bot performs to advance orders to the next stage in the process:

  • Pulls additional details for each order
  • Populates needed details in the web portal
  • Uploads required documentation and submit the prior authorization request
  • Adds order notes detailing work that the bot performed

3. Prior Authorization Follow-up

A key step in the order management process is to continuously follow-up with the payer to check whether a coverage decision has been made. The ability to review responses in a timely manner has a direct impact on the duration of the end-to-end process. Beginning three days after the initial prior authorization had been submitted, the bot logs into the insurance provider’s web portal, to check for a response that may be approved, partially approved or denied. The bot continues to check daily until a response is provided by the payer.  

Prior to the RPA implementation, the client had dozens of employees manually checking the status of 300 orders per day in the web portals of the three highest volume insurance providers. After initially checking on a prior authorization three days after submission, employees could only perform follow ups every 3 – 5 days, creating unnecessary delays in the order lifecycle, which in cases extended to several days before registering a decision (as many as 10). 

A major advantage of using RPA to automate these processes is that the company can perform prior authorization follow-up much more frequently. After the initial check, the bot can follow up on each request once per daily. This ensures that as soon as a response is received, it can be acted on, therefore decreasing the overall duration of the end to end process.

Doctors walking in a hospital hallway. Representing they can now focus on higher value activities due to  automation in healthcare

Download the Case Study to see the Results

Complete the form to receive your PDF of this case study.

Healthcare Provider Reduces Cycle Times to Patients with RPA

Related Content