A Meaningful Medical Summary for Insurance Carriers
TRANSFORM THE DATA
Our system quickly analyzes and classifies hundreds or thousands of pages within a medical record and transforms them into a focused dataset for analysis.
INCREASE SPEED-TO-DECISION
We know decision time is of the essence. Whether your team is focused on speed-to-premium or turnaround times for claims, DigitalOwl provides you with tools to make faster decisions.
OBJECTIVE SUMMARY OF EVERY FILE
Consistency is critical in insurance decisions. DigitalOwl provides a systematic means of making both simple and complicated decisions by providing an unbiased, objective summarization of every medical record, every time.
INCREASE EFFICIENCY AND PRODUCTIVITY
DigitalOwl significantly reduces the time and expense of manually reviewing medical records, helping to free up your valuable Claim Analysts, Underwriters, and Clinical Experts to focus on more critical business activities.
Get Faster, More Accurate Results
Human review of medical records lacks true accuracy because essential information is often missed. The quality of review is never sacrificed with computers, and they extract more meaningful medical information in a significantly shorter time.
OUR SOLUTION VS MANUAL REVIEW
Speed
DigitalOwl analyzes most cases in 3-5 minutes.
Human reviewers can take up to 3-4 hours to review the same case.
Accuracy
In all cases, DigitalOwl typically identifies twice as many significant medical datapoints as the human reviewer.
About our Technology
EMPOWERING INSURANCE CARRIERS TO MAKE DECISIONS FASTER
Using our proprietary, purpose-built Natural Language Processing (NLP) platform that was developed exclusively for medical records, Underwriters and Claim Analysts can review a robust summary instead of hundreds of pages of complex medical information.
HERE’S HOW IT WORKS
By quickly and thoroughly analyzing the medical documents, including data from imaged records, DigitalOwl gets a deep understanding of the record no matter the quantity of pages analyzed. This understanding is then transformed into a focused set of medical data points in a meaningful, summarized format.
To fully analyze medical records, technology must understand the relationship between extracted entities. DigitalOwl’s NLP technology does that.