In the United States, healthcare delivery systems and health plans alike are facing regulatory requirements around price transparency. The Centers for Medicare and Medicaid Services (CMS) are responsible for enforcing these regulations, with an aim of increasing transparency and helping consumers better understand the costs associated with their healthcare. The result? Comprehensive machine-readable files (MRF) that list all covered items and services, encompassing hundreds of terabytes of information per month.
Organizations are facing challenges with this mandate both in sharing data per the regulations, and consuming data for comparison purposes. They must navigate ambiguous CMS requirements, unify disparate datasets across the organization (i.e. plan sponsors, provider networks, rate negotiation), and handle large volumes of data.
Even the self-proclaimed fastest parser, the GPU-based simdjson, can’t handle the complexity and volume of data. But, with the Lakehouse, you can.
In this workshop you will:
- Learn what you can do in the Lakehouse that you can’t do in a data lake alone
- Discover and demystify how prices are determined in healthcare
- Understand the implications for system architecture and price transparency
- See an end-to-end platform demo for ingesting, parsing, and analyzing price transparency data at scale
- Start unlocking price transparency today with a notebook and gigabytes of data
Agenda (PT)
- 9:00–9:15 AM Why the Lakehouse for Price Transparency?
- 9:15–9:45 AM What Determines Price in Healthcare?
- 9:45–10:45 AM Lakehouse & Price Transparency Demo
- 10:45–11:00 AM Wrap-Up and Q&A