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Fully Automate Claims Processing Beyond OCR
Organizations, from healthcare to insurance to government agencies must process claims that arrive from all points of capture. Because it is difficult to control the scanning process for claims, the result is images of all types with variances of either scale or image resolution. In addition, supporting documentation may accompany a claim form. This makes […]
Read moreSave Time and Money With Advanced Capture
Does your organization waste valuable time and resources to manually prep documents? Are you tired of manually typing in data which oftentimes isn’t inputted accurately and error-free? If you want to venture away from these tedious slow processes, there are solutions out there! Advanced capture technologies will streamline and automate the transformation of documents into […]
Read moreHow Intelligent Capture Utilizes Machine Learning for Template-free Training
There has recently been a lot of chatter in our industry about machine, and I want to share a few thoughts about how ImageSource’s ILINX Advanced Capture platform tackles this topic. Our approach is to deploy a neural network-based document processing model that does not rely on templates. Our machine-learning platform supports custom-developed content classification projects […]
Read moreKeeping a Batch After Advanced Capture Processing
I ran into an interesting challenge with a customer and thought it might be something of interest to others. The challenge was in creating a way to have an entire batch of documents go through Advanced Capture processing and be returned to the input software, in this case ILINX Capture, as a single batch upon […]
Read moreTwo Cents on Implementing Advanced Capture Solutions
I have implemented numerous Advanced Capture solutions over the years and have identified a number of sticking points that are easily overcome, but can also be a real pain. I would classify an Advanced Capture solution as any document capture implementation that is more than a standard heads-up indexing or very basic zonal OCR of […]
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