Generating Insights: How Data Analytics Can Optimize EHR Systems

While the healthcare IT industry places an emphasis on data in health IT and invests in the potential of electronic health records, it is also important to remember that an IT system alone can’t generate data-driven insights. Data are not valuable simply because information is collected and stored in an interoperable Electronic Health Record (EHR) system, but through the use of analytics, seemingly isolated data can be transformed into actionable insights. This idea forms the basis of the HIMSS C&BI report, Clinical & Business Intelligence: The Analytics Process, written by Julie A. Rosen, Chief Scientist at Leidos Health, and Peter Ghavami, Healthcare IT and Data Analytics Consulting. In the report, Rosen and Ghavami explain how analytics can enable EHRs to achieve their full potential.

In particular, they outline a method to use the data collected in EHRs most effectively to improve patient outcomes and reduce costs. Rosen and Ghavami’s process is broken down into a series of phases that are designed to be repeated and recycled to continually improve “performance and healthcare outcomes.” The phases are organized in an iterative loop, in which each cycle of analytics incorporates updated data resulting in better informed findings.

By finding ways to maximize the value of patient data, we can take the next steps in the evolution of healthcare IT. The Leidos Partnership for Defense Health has brought together industry leaders whose work is pushing for greater improvements in patient outcomes in a variety of ways, including data analytics. Read the full report here and learn more about the potential impact of data analytics.