The more high-quality, accurate data that healthcare organizations can use, the better the outcomes they can provide to their clients. This can be challenging when ingesting data from countless unique data sets, with unstandardized formats and codes.
Amy Sheide, VP, data platform and partnerships, discusses how Zephyr AI uses Rhapsody Semantic to standardize data at scale — quickly making sense of data so that it can be used in machine learning models.
Watch an interactive webinar to learn how Zephyr AI:
- Empowers their small team of data scientists to leverage their expertise to manage custom code sets, generate their own mappings, and build their own mapping algorithms
- Operationalizes workflows with a sustainable architecture and process for future growth
- Delivers value faster to their customers by getting to production in less than 30 days – leading to better outcomes and lower costs
We also cover strategies for improving data quality at your healthcare organization and what to expect from a best-of-breed terminology management solution like Rhapsody Semantic.
