Clover cleans, normalizes, and aggregates data from a variety of healthcare systems, a vast domain of enormous complexity. But having engineers write all the data transforms for all this data is not sustainable.
Clover has developed the “Clover Transform Framework” to enable people throughout the organization to write data transforms with documentation, monitoring, and testing built in. In this talk we'll discuss the balance between democratizing data while ensuring data quality, lineage, and control. We'll also cover some the extensions we've made since the initial release like machine learning and clinical submissions.
Chris Hartfield is a senior data engineer at Clover Health, where he is using analytics to improve healthcare outcomes for the Medicare community. Prior to joining the company, Chris was part of the engineering team at Poplicus, a organization that creates proprietary analytics from big data in the public sector. While there, he was responsible for the search logic and proprietary metrics to detect trends and insights into public spending.
Chris also holds a Bachelor’s degree in Biomolecular Engineering from the University of California, Santa Cruz.