The technology is particularly useful in oncology because doctors struggle to keep up with the explosion of genomic and molecular data generated about each cancer type. This means it can take years for findings to translate into medical practice. By contrast, Watson can absorb new results and relay them to doctors quickly, together with an estimate of their potential usefulness. "Watson really has great potential," says Audeh. "Cancer needs it most because it's becoming so complicated so quickly."
The IBM system could also approve treatment requests more quickly. At WellPoint, one of the largest insurers in the US, nurses use guidelines and patient history to determine if a request is in line with company policy. Nurses are now training Watson by feeding it test requests and observing the answers. Progress is good and the system could be deployed next year, says WellPoint's Cindy Wakefield. "Now it can take up to a couple of days," she says. "We hope Watson can return the accurate recommendation in a matter of minutes."
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