Medical documents are some of the most complex to capture and extract information from. Challenging medical information, handwritten medical shorthand and lengthy documents filled with data call for an exceptional capture tool.
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At IBM Content 2017, Pyramidians presented on how to better leverage cognitive capture solutions to extract key process information such as data from medical documents.
Optical character recognition (OCR) a.k.a. capture technology has been around for a long time – like 103-years-long-time. You can trace it back to 1914 when Emanuel Goldberg developed a machine that read characters and converted them into standard telegraph code. In the days of Goldberg, this was an innovative technology on its own, but today, it is just one slice of the document processing technologies available to businesses.
One of the most common questions clients ask us when designing an enterprise content management system is how to best define the document taxonomy.
Q (Taylor Trapani): There are rumors circulating that Amazon applied to sell insurance – both life and property and casualty – in 37 states. What does this tell you about the insurance industry, that a national e-commerce powerhouse is contemplating joining?
A (Derick Deleo): I can’t speak to whether that is true or not, but there definitely is a concern with Amazon – and even Google or Apple for that matter – easily joining the insurance industry.