Bringing the agile development model to the healthcare revenue cycle

A look at implementing predictive analytics
  • Software Development
  • Analytics

Paul Bradley, ZirMed’s chief data scientist, oversees the research and development of new processes and technologies and keeps ZirMed at the forefront of advances in predictive analytics and data mining. Paul was a co-founder and the chief data scientist of MethodCare before its acquisition by ZirMed.

Earlier, Paul was the data-mining development lead at Revenue Science Inc. (formerly Digimine Inc.), where he focused on integrating data mining technology into the company’s service offering. Prior to Digimine, he was a researcher in the data management, exploration and mining Group at Microsoft Research, where he helped develop new data-mining algorithms and components that shipped with Microsoft’s flagship database products SQL Server and Commerce Server. Paul also led data analysis solution implementations for a number of Microsoft divisions.

Paul earned a Ph.D. and an M.S. degree in computer science and a B.S. in mathematics from the University of Wisconsin. His research interests include classification and clustering algorithms, underlying mathematical problem formulations, and issues related to scalability. Paul currently serves on the editorial board of the Journal on Big Data.

The opinions expressed in this blog are those of Paul Bradley and do not necessarily represent those of IDG Communications Inc. or its parent, subsidiary or affiliated companies.