Optical Character Recognition (OCR) and Healthcare
Optical Character Recognition (OCR)
Literally, OCR stands for Optical Character Recognition. It is a widespread technology to recognize text inside images, such as scanned documents and photos. OCR technology is used to convert virtually any kind of image containing written text (typed, handwritten, or printed) into machine-readable text data.
OCR Technology became popular in the early 1990s while attempting to digitize historic newspapers. Since then the technology has undergone several improvements. Nowadays solutions deliver near to perfect OCR accuracy.
One industry that lends itself well to OCR is healthcare. It is possible to digitize a patient's entire medical history: health reports, X-rays, disease history, treatment tracking, diagnoses, hospital records, insurance coverage, payments. After digitization, all this information is available and can be consulted in one place.
The fact that the entire patient record is stored digitally is a major advantage for epidemiology and for logistics (maintaining drug levels in pharmacies, equipment and other health products, etc.).
Once digitized, all records form a huge database that can be useful to study as a whole to provide insights to legislators and health networks around the world.
This use case can be handled with different engines offered by different providers on the market. To help companies discover and test these different engines, we have developed Eden AI, which provides a single, simple access to all these engines: