Case Studies

How MGA Processes Referrals in Minutes Instead of Hours

About

MGA

Ensuring Patients Receive High-Quality Homecare That Meets Their Needs

MGA Homecare has been providing high-quality, personalized homecare with a wide range of healthcare personnel including Registered Nurses, Licensed Health Aides, and Occupational Therapists for over a decade.

“The data returned is accurate to a T. I don't worry about it. In fact, there's times where I’m like, ‘I can't find the type of referral this is,’ but clearly the system does. It can read the referral better than I can.” - Nina Boulay, Senior Director of Intake
About MGA

Ensuring Patients Receive High-Quality Homecare That Meets Their Needs 

MGA Homecare has been providing high-quality and personalized homecare with a wide range of healthcare personnel including Registered Nurses, Licensed Health Aides, and Occupational Therapists for over a decade. Headquartered in Arizona with healthcare staff serving across Texas, Colorado, North Carolina, Tennessee, and Washington, MGA is rapidly growing and expanding into new markets. With this growth came the challenge of processing the increasing volume of patient referrals and associated documentation needed to get MGA’s healthcare professionals into patient homes as quickly as possible.  

“This is a game changer. It relieves our teams of the pressure of when we get several referrals back to back.” 
The Challenge

Back-To-Back Referrals From All Over The Place 

Before working with Tennr, MGA employees could expect to spend hours manually entering patient referrals, which often arrived back-to-back from all over the place. In one afternoon, an MGA employee received seven referrals from hospitals looking for a variety of different homecare disciplines. Entering these referrals and then parsing through the available MGA healthcare professionals to assign to patients was proving to be a tedious and stressful task that required multiple employees to handle.

Aside from bogging employees down, the increased referral load strained MGA’s relationships with their network of hospitals; hospital referrals in particular were often unclear, confusing, and took extra time to sort through.

“We get referrals from all over the place, like hospitals… They drag things down, they're in cursive, and half the time we can't read it and they can't really figure out what it is that they're looking for because they're not clear.” 

Not only did MGA need to find a way to more effectively process referrals and make sure they had the right documentation in place, they needed a tool that could automate entries within the first two hours of receiving the referral while still maintaining accuracy, reduce human error, and increase productivity across the board for its clerical staff.  

Implementing Tennr

Introducing MGA’s New Referral Intake Worker 

The integration of Tennr into MGA's EMR system was smooth and adaptable to the intricacies of the referral intake team's current processes, enabling MGA to retain its processes without the need for any migrations. With Tennr’s help, employees were able to eliminate backlog referrals and have confidence that referrals were entered quickly and accurately. 

“The data returned is accurate to a T. I don't worry about it. In fact, there's times where I’m like, ‘I can't find the type of referral this is,’ but clearly the system does. It can read the referral better than I can.” - Nina Boulay, Senior Director of Intake  
Life with Tennr

Personalized Care with Efficiency and Accuracy

  • Average referral entry time for 150+ weekly referrals reduced from hours to minutes  
  • Improved accuracy in matching patients to professionals across medical disciplines
  • Reduction in human error  

Optimizing Productivity

Before, each MGA team members was processing up to 10 intakes a day. After implementing Tennr, that number has risen to 30 and the daily backlog of referrals has been eliminated. 

Eliminating Human Error

MGA employees only needed to double-check the information Tennr accurately pulled, avoiding the errors that came from hours spent parsing through entries.

Better Care, Better Business

With Tennr’s ability to accurately read and pull up the correct medical needs for individual referrals, MGA employees can match patients with the right professional more quickly. Processing referrals faster means MGA gets more future referrals, and more business from their referring providers.

“When we have a large volume of referrals coming in and we have to enter them manually, we can only work at the speed of our manpower. Tennr’s ability to automatically enter referrals into our EMR helps us of our job of what really matters, and that’s getting our therapists or nurses in homes quicker.” - Cal Critchfield, Area Senior Vice President of Arizona, Colorado, Texas