Stop digging through PDF attachments in your EHR media tab.
For clinicians, finding test results in the EHR can feel like an archeological dig – except it’s not as fun.
Too often the complete patient story is buried deep within unstructured document attachments, such as scanned copies of faxed test results. Even when you can find the correct document, you still have to find the data you’re looking for within the scanned or faxed file.
Until now, your only options for capturing discrete clinical data in structured EHR fields have been expensive point-to-point interfaces or data entry staff manually keying data. But now there’s a third option, intelligent clinical data capture from Extract Systems.
Intelligent clinical data extraction software is changing the experience of incorporating unstructured clinical data into clinical decision-making and research. It uses optical character recognition to identify all of the text on a page, and then uses algorithms and machine learning to extract only the data you want to be in the patient’s medical record. The information can be automatically matched to existing orders and encounters, or the software can even create new ones on the fly.
Watch this on-demand webinar to learn how University of Wisconsin Health is using intelligent clinical data extraction software to manage unstructured medical records more efficiently.
About the Author: Chantel Soumis
Chantel Soumis studied marketing communications and business administration at Franklin University and proceeded to work in a fast, ambitious environment, assuring client delight. Passionate about productivity and streamlining workflows through the use of technology, Chantel strives to spread the knowledge of Extract’s advanced OCR solution.