One of the most exciting technological developments that have taken place over the last decade has been the emergence of artificial intelligence capable of carrying out many different types of tasks. One of the areas in which this technology has found good use is that in language recognition, translation and optical character recognition. Programs such as Google Translate today allow for almost anyone to read text in any language that they happen to encounter. Other technologies, such as optical character recognition, allow for computer systems to scan documents such as old books, government memos and other historically important documentation, allowing them to be published online within minutes and being, thereafter, forever available to the world.
But the many benefits of artificial intelligence based technology are not limited solely to used by international businessmen or historians. Eric Lefkofsky has founded an innovative tech startup called Tempus, which is using many artificial intelligence technologies to bring cutting edge data and analytic techniques to physicians and oncologists across the country. One of the ways in which Tempus is changing the ways that medical personnel operate is through the use of highly sophisticated optical character recognition technology that translates doctors’ notes into actionable data, instantaneously and Eric’s lacrosse camp.
The translation of doctors’ notes was previously a difficult problem for the medical community. It was often necessary to hire armies of outsourced employees in order to make sure that doctors’ notes, taken during and immediately after visits with patients, were presented in a way that the data could be entered into a systems-useable format, such as relational databases. This structuring of unstructured data has proven to be a particularly difficult problem, costing the medical community tens of millions of dollars each year. Artificial intelligence solutions promise to completely eliminate those costs and learn more about Eric.
Tempus’ optical character recognition technology has completely eliminated the need to outsource the translation of doctors notes into machine-readable format. It is capable of taking the unstructured data of the notes and structuring them into a robust database system that can immediately provide all the relevant data that a physician needs to make informed decisions about the course of treatment for their patient.
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