Before:
Inaccuracies in Data Acquisition Creating Confusion for Customers
As part of its work, Assembly Health must ingest data from a wide range of practices and providers and provide analysis. Assembly Health’s data acquisition processes were creating inaccuracies, making it more difficult for them to see how patients interacted with client practices. Encounter data was scattered across different sources that arrived in multiple batches throughout the day, leading to confusion and incomplete related datasets. In addition, site visits, patient encounters, billing, and more were all tracked through multiple sources in multiple formats, challenging Assembly Health to effectively interpret the data. Assembly Health knew they needed a better and more efficient data pipeline to provide more useful information to their clients.
Solution:
A Modern Data Stack and Usable Data
Spaulding Ridge partnered with Assembly Health to implement a modern cloud data architecture using Snowflake’s data cloud, Azure Data Factory for scalable data movement, and DBT for data transformation. By centralizing, transforming, and providing visibility into the data, we empowered Assembly with trustworthy data and a strong foundation for analytics. Our solutions allowed Assembly to consolidate provider data from various sources into a 360-degree view, empowering Assembly Health’s clients with advanced analytics and data-driven decision-making capabilities.
Our implementation allowed Assembly Health to track in-person patient encounters more accurately, including the number of encounters per healthcare site, allowing clients to improve their tailored care strategies and increase quality of care. With the power of this simplified solution, encounter data became much easier to use, helping Assembly Health and their clients to make more informed decisions.