






Medical billing involves many steps and moving parts. Businesses and hospitals must comply with standard requirements in order to receive payment.
The teams in charge of different parts of this process carry the weight of the work. They have to move fast and accurately in order to remain in business.
This makes it even larger of a challenge when a lot of the systems and data are spread across many platforms.
6 months
The client operated a Software-As-A-Service platform with many features that manage the entire billing cycle for hospitals. The product we designed replaced existing offerings that the client had.
Along with a cross-functional team, I was responsible for:
The cross-functional team of product designers, project managers, product managers, and developers operated with a two-week Sprint cycle using the Scrum method.
Measuring how often people made mistakes in the software.
Measuring the rate at which insurance companies denied claims.
Measuring the time it takes to finish each step of the billing lifecycle.
Measuring how long end-users take on each key page of the process.
Measuring how many average support tickets came in monthly.
Measuring how long it takes to learn the new system on average.
Measuring how long the entire billing lifecycle takes for teams.
Measuring how happy people are with the organization's training.
Measuring how satisfied teams who use the software feel.

Medical billing teams face a lot of barriers to their own success during the work day:



Billing teams handle specific parts of the lifecycle, and need to focus on specific parts. We designed the experience to focus on chunks of information at a given time based on the workflows we learned about. This helps people quickly complete the step they own.

A lot of the client's customers had unique operations for billing. The system needed to be modular and able to be flexibly controlled by hospitals who have different needs. We built this architecture from the ground up.

We learned it takes months, if not years, to fully learn medical billing systems today. The steep learning curve comes from medical billing jargon and confusing structures of information. We designed an experience that breaks things down for people at every step. This helps both inexperienced and experienced take les time to learn the system.

The complex systems behind the scenes may be doing things that users don't know about. We learned a lot of errors happen in the old systems when billing teams are trying to troubleshoot errors. The experience we designed shows visual feedback about what's going on behind the scenes. This helps teams make decisions faster, and make less errors.

The billing systems that teams use today are open across many different browser tabs. People switch between websites and apps to finish their work. This adds a lot of time to workflows. We designed an experience that keeps users on the same page when adding, editing, or removing data in the workflow. We measured a huge decrease in time to task completion because of this.



The results were mixed. We noticed some resistance to change.
Through usability testing task analysis, we found that tasks were sped up. But people reported things differently. Some teams using the old product appreciated the shift in where the information was displayed. Others reported that the new tools will take more time than it's worth.
We decided to propose we do more live testing with customers of the product to explore the resistance further.
We worked with client leadership to start tracking the error rates monthly, broken down by section, within the database. This allows teams to focus efforts fixing high impact sections of the software.
We worked with client leadership to start tracking the denial rates within the database. We discussed reducing the denials by 10% per quarter, by improving data quality.
Through analytics, the team set up measurements to track the time it takes to complete each step of billing lifecycles. We setup reports that allow leadership to see the changes made over time.
Screen time is important when dealing with medical billing workflows because the activity must happen at volume. The people doing medical billing need to finish over 100 cases per day in their tep of the process. The longer people stay on screen, the more convoluted their workflow is. we measured this to try and calculate the ideal baseline for each step of the process.
We helped the team track the number of monthly support tickets to track changes in issues over time. Over the course of 3 months, support tickets dropped 14% with the changes we made.
The time to learn the software is complicated for this product. Medical billing takes a lot of knowledge, skills, and practice. We helped the team determine a baseline to learn the system through the trainines they offered clients.
Completion time must be reduced if teams will be able to get through over 100 cases per day in each step. Taking the combination of time to complete and screen time is important for the overall metric of time to complete. We helped the team set up and track this metric for their clients to be able to report to leadership.
We added Net Promoter Score to the company's quarterly survey so that the team could tack changes in overall likelihood to recommend the product to others.


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