
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.
Nine out of ten healthcare administration employees report that they wish they had learned more about revenue cycle management, healthcare finance, and big data analytics during their graduate studies. Rev Cycle Ready was created to bridge that gap. Whether you're new to the field or already working in a healthcare setting, this course equips you with the practical knowledge and tools needed to thrive in today’s data-driven, financially complex healthcare landscape.
This course takes a deep dive into the fundamental components of the healthcare revenue cycle—including RVUs, denials, write-offs, accounts receivable (AR), and reimbursement workflows—helping students understand how money flows through a healthcare organization. You’ll gain insight into how financial decisions impact operations and how revenue cycle performance ties directly to patient care quality and organizational sustainability.
In addition, students will explore the role of big data in the revenue cycle, using analytics to identify areas of opportunity, improve KPIs, and drive smarter decision-making. Through case studies, real-world examples, and hands-on exercises, you'll build confidence in key concepts that are often overlooked in traditional coursework.
By the end of this course, you’ll be better prepared to add immediate value to your organization and pursue roles in healthcare revenue cycle, operations, finance, or data analytics.