Soarian Quality Measures is a data analysis tool designed to extract quality of care data from the electronic patient record. It replaces manual chart reviews with accurate and automated chart abstraction of quality measures.

The first step in meeting quality objectives is to locate and extract the right information in your organization’s systems. Siemens technology does that by performing automated chart abstraction, connecting existing data sources, extracting information from structured and unstructured data, combining sophisticated natural language and data-mining-based methods, and delivering accurate data.

The second step to providing a comprehensive quality solution involves transforming your extracted data and information into healthcare intelligence.

Hear what our customers are saying:

“Everybody talks about patient safety, everybody talks about quality of care, but as you implement these complex applications, have you improved the quality of care? Have you improved safety or have you done the opposite of that? The only way you’ll know is to be able to measure – and you know my CEO is very fond of saying that if you can’t measure it, you can’t manage it, and that’s what we’re trying to do at Denver Health in partnership with Siemens.”

Gregg Veltri 
Chief Information Officer 
Denver Health and Hospital Authority 
Denver, Colorado

“We are excited about the abstraction time improvements garnered through the use of Soarian Quality Measures. The application further reduces the dependency on manual chart abstraction, while improving the accuracy and speed of abstraction.”

Jay Raman 
Chief Information Officer 
Reading Hospital and Medical Center, 
West Reading, Pennsylvania