Your incomplete data set doesn’t tell you the full story.

A population health management program without the ability to analyze a complete set of clinical data is like reading a book with missing pages.  You’re left with only your imagination to fill in important details.

While standardized electronic health records make analyzing population outcomes easier, much of the health information in your possession isn’t in a standardized form.  Instead, valuable information is often locked inside unstructured documents and text, like faxes and PDFs, which makes it impossible to analyze. Even when the information is available, it needs to be normalized.

Not including this information in your data set means that you’re not getting the full story.  It’s just like leaving important pages out of a book. 

Abstracting this information manually is a slow, labor-intensive, costly process that can result in errors.  Intelligent clinical data capture software slashes the cost and accelerates clinical data abstraction and health data transformation. Automated software can read your documents and extract the information that’s important to you, even if it’s not in a form or other standard format. This means you get the full story.

About the Author: Greg Gies

For 20 years in the software industry, Greg Gies has been helping businesses, government agencies and healthcare organizations achieve their goals and carry out their missions by making better use of information and automating business processes. Greg has held positions in sales, product management and marketing and holds an MBA from Babson College. He works and lives with his wife and three boys in the Boston area.