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Kodak Alaris
Note: This article was originally written in German. This is an auto-generated translation of that original article.
Transform forms into usable data
The flood of forms will not decrease in the near future. Especially in the healthcare sector, forms are the order of the day, but digitizing them has so far been a challenge that costs time and money. Kodak Alaris was confronted with such a task. In this specific case, it involved patient files from a large Swiss hospital.
Actually, the automated reading of data from forms should be a completely normal process. However, in practice, it looked different in the Swiss healthcare facility. The most common problems arose from the font in the fields not being precisely positioned, offset printing, or skewed or poor image quality during scanning. As a result, the previous data entry solution could not accurately identify the data.
KODAK Info Input Solution as the linchpin
This is where KODAK Info Input Solution comes into play. The highly developed IDP solution offers far more innovative functions for process automation than conventional scanning software. This is known as Intelligent Document Processing, or IDP for short. Thanks to its interfaces to the common AI providers such as Amazon, Google and Microsoft, sophisticated and previously time-consuming tasks can be automated. This applies, for example, to invoice reading, handwriting recognition or even the extraction of data from forms. The scanned data is read in the cloud and then returned, all without the user noticing.
In the specific case of the patient file, Microsoft's AI is used. Since the forms are very specific, the Professional Services team from Kodak Alaris provided support and trained the AI with the specific forms from the clinic. The results are astounding, because in all test runs, all values were read without error. If an error is detected and corrected during the visual inspection in day-to-day work, the AI learns independently. Thanks to the intuitive user interface of KODAK Info Input Solution, the data can be easily validated and integrated directly into follow-up systems. For the hospital, this means a huge reduction in workload and an increase in productivity.
