Nine out of ten healthcare administration employees wish they had learned more about revenue cycle, finance, and big data analytics during their graduate schooling. This course will prepare students with a better understanding of these topics by diving deep into RVUs, Denials, Write-Offs, AR, and the Revenue Cycle. No matter your skill level, this course can help you add more value to your organization.
This presentation will give you a foundation for the rest of the content we discuss in the course. You'll learn about how healthcare organizations get paid, the unique challenges that exist in that payment structure, and how to drive an effective revenue cycle.
Welcome to The RVU created by Rev Cycle Ready. In this training, we will discuss the basics of RVUs that are fundamental for the subsequent trainings.
In this training, we will discuss the first step to calculating reimbursement.
In this training, we will discuss the second step to calculating reimbursement.
In this training, we will discuss the third step to calculating reimbursement.
In this training, we will discuss the fourth step to calculating reimbursement.
In this training, we will discuss the fifth step to calculating reimbursement.
In this training, we will discuss the sixth step to calculating reimbursement.
In this training, we will help you understand what is AR and how it is calculated.
This training will cover the flat-file dataset. We will explain what each of the columns of data representation and the types of data you'll see in the columns. These will be the data fields you can ask your organization for.
We will show you how to take the flat-file and put it into a pivot table.
In this training, we will use our pivot table to construct a number of different AR metrics.
Now is your time to construct your own AR analysis based on either our data or your organization's data.
In this training, we will discuss the unavoidable adjustments such as charity care, contractual adjustments, and other unavoidable adjustments.
In this exercise, you'll test your knowledge of avoidable adjustments vs unavoidable adjustments.
In this training, you'll learn how to perform a root cause analysis to try and identify why a particular adjustment code is happening so frequently. This will be done by specialty.
This exercise will help you create your own root cause analysis by specialty.
In this training, you'll learn how to perform a root cause analysis to try and identify why a particular adjustment code is happening so frequently. This will be done by department.
This exercise will help you create your own root cause analysis by department.
Welcome to Denials Ready! We are excited to have you and know you will greatly benefit from this education. In this video, we will discuss where denials fit within the revenue cycle process and conceptually review how to avoid denials.
In this video, we will review denial definitions that will be used throughout the course. This terminology is used across the healthcare industry and is valuable to understand.
In this video, you will be introduced to the denials ready data set. This data set will be instrumental in helping you learn core healthcare finance principles while getting your hands on realistic billing system data.
In this video, we will review a denials example. Mimicking this example over and over again using different variables and filters will help you better understand these concepts.
In this video, you will learn how to calculate gross collection rates for claims that have and have not been denied.
In this video, you will learn how to calculate a denial rate. Understanding the denial rate is the first step to solving denial issues.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.