Microsoft

Sanford Health set out to provide its clinicians with actionable information from its growing database of patient data. On its journey, the organization prioritized and rapidly executed on a comprehensive data warehouse strategy as well as strict data governance. Early projects leveraging predictive algorithms within machine learning environments revealed the importance of a control group to account for the “regression to the mean.” Moreover, these projects validated the need to rapidly sidestep the noise of predictive analytics for the precision of prescriptive analytics. This webinar will provide a detailed discussion of the types of information that can reliably be shared with clinicians through the application of risk scoring, control groups, machine learning and prescriptive analytics.

To successfully compete in the digital world, healthcare organizations need to make informed decisions backed by data - whether it is to improve service delivery or care team effectiveness. Today’s workforce is more mobile than ever, and mobile solutions for data analytics are becoming increasingly pervasive. For example, knowledge professionals can now access and analyze data from almost any device, and the trend toward mobile BI solutions will only continue to accelerate. During this live webinar, attendees will learn how to harness the benefits of Power BI -- allowing you to access and modify dashboards, while gaining valuable insights from almost any device.