Thanks for learning more about the upcoming Out-of-Pocket Claims 101 course!

This is a short summary of the course’s format and topics. The intent of the course is to achieve two things:

1. Make accessible to anyone an understanding of healthcare claims and how they are used.
2. Provide foundational lessons, techniques, and resources about healthcare claims to apply to your work.

We’re doing a limited number of seats at a discounted price of $1500 before the official launch later in the 2023 year.

If you have any questions about content, price, or group discounts, please reach out [email protected].

Course Format

• This is a 2 week cohort-based course. Each week, there will be:
  • Two 1-1.5 hour lectures consisting of core content, guest perspectives, and interactive breakouts
  • One 30 minute - 1 hour assignment per week. We seriously respect your time and consider these optional! However, they will be excellent opportunities to strengthen your understanding. These are completely custom to the course.
  • 3-5 curated pre-reads suggested for each lecture
  • 3-5 curated post-reads and asynchronous video content for enrichment
• A core part of the vision of this course is to help develop a community for health data professionals of all stripes. We’ll be having at least one meetup, either virtually or in person.
• It will be accessible to professionals of all backgrounds. You do not need to know how to code!

Course Summary

1. Lecture 1: What is a claim? Why do they exist? Why are they useful?
2. Lecture 2: What are the different types of claims forms? What happens after you submit a claim? Why is it important to understand the process behind claim submission?
3. Lecture 3: What is in eligibility, medical, and pharmacy claims? What should you look out for when working with each type of claim dataset?
4. Lecture 4: How do you make claims useful? How are claims used in real life settings?

Lecture 1: Introduction to Claims (Feb. 7, 2023, 8p EST)

• What is a claim?
  • What do claims consist of?
  • What purpose do claims serve?
  • Why are claims difficult to understand and deal with?
• Why do claims exist?
  • How have payments to providers evolved over the years?
  • How did that history of payment paradigms shape the way that claims look today?
• Why do we use claims at all?
  • Why have claims become more popular?
  • What distinguishes claims from clinical data, and why use one data source versus the other?
  • Pragmatically, how do practitioners use both claims and clinical data to power the types of studies they want to conduct?