Speaker "Paul Bradley " Details Back



Applying Predictive Analytics in the Healthcare Industry to boost efficiencies and cost-savings


The healthcare industry is undergoing a major transformation as payment models continue to focus more on the value of care as opposed to services rendered. Therefore, it is critical for provider organizations to streamline operations to protect earned revenue while providing quality care. With predictive analytics technology, providers can leverage data from millions of interactions with patients, physicians and payers to boost efficiencies and business outcomes. During this session, the presenter will explain how predictive modeling technology is being applied at healthcare organizations to reduce manual tasks, boost productivity and maximize revenue. Attendees will also learn how to aggregate key data attributes, triage at-risk accounts to the right person at the right time for intervention, and proactively alert stakeholders if key revenue cycle metrics do not align with organizational goals. The presenter will also demonstrate how to leverage a comprehensive revenue cycle platform to glean actionable insights across an organization to achieve cost savings and quality gains from a unified solution.


Paul Bradley Ph.D., ZirMed’s Chief Data Scientist, oversees the research and development of new processes and technologies, including predictive analytics and data mining. Bradley was a co-founder and the chief data scientist of MethodCare before its acquisition by ZirMed. In prior roles, he consulted on data mining algorithm integration with Microsoft Research and SQL Server, and led data analysis solution implementations for a number of Microsoft divisions. Bradley earned his Ph.D. and M.S. degrees in computer science and a B.S. in mathematics from the University of Wisconsin.