Even in my personal blog, I try to keep quiet about politics, religion and the other topics that usually seem to divide people. I don’t care what political party or candidate you support, and I would never want to challenge anyone’s belief system. There is one thing that I do worry about though,...
Prelude: I’ve included many screen prints in this post and there is a lot of detail that may be interesting to you. Click the thumbnail images for a larger view. I wrote a story the other day about Frankie-the-Frustrated worker and his frustration dealing with the lack of automatic data...
Browsing through news online recently, I came across a troubling story. Last month, Emory Healthcare in Atlanta announced that 10 discs containing electronic records on 315,000 patients had gone missing. That’s sensitive information on every patient who had surgery at three...
I recently spent some time participating in a LinkedIn discussion about the most common reasons behind the failure of electronic health records implementations. As I thought through my posts, something dawned on me: The key to successfully transitioning to EHR (or EMR; whatever your preferred...
Many companies rely on a combination of automatic pattern recognition technology and manual data processing. Even with automated forms processing, bad data can get through. And accuracy levels for automated recognition have been under criticism since the technology was first introduced....
The prospect of 100% accurate OCR results is a good driver when it comes to implementing the technology, most of the time. As an advocate, and promoter of ways to increase OCR accuracy I too sometimes get caught in the quest for perfect results, but is the effort always worth it? It can be...
OCR Engine voting is one of those things that just seem to make sense. “Seems” being the key word. Engine voting is touted as the process of taking two separate OCR engines and comparing their results in order to choose the best. The thought is that engines tend to excel in different areas...
I’ve classified two generations of OCR. Generation one, I call old OCR, and the current generation. Generation one OCR engines did not think too much about what they did. Give it an image, and it will try to read anything and everything as text. Modern day OCR is quite different. Many...
Your first job is to start using document recognition technology, your second, is to make it as accurate as possible. Problem is, you very likely purchased technology, and assumed some level of accuracy, without even knowing. Even when document capture is a twinkle in an organization's eye...
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