Phillip Howard writes that uRiKA from Cray is to graph databases what Netezza was to data warehousing when it first appeared on the market: appliance-based, scalable (uRiKA more so) and focused solely on high-performance analytics.
10 million of these patient records are being compared with one another including anonymised historical data spanning all events, symptoms, diseases, treatments, prescriptions, genetics and family history: in order to identify “similar patients” where similarity, and degree thereof, and under what conditions, forms the basis of the graph stored within uRiKA. This graph is then used to support doctors and to provide information in real-time about what treatments were most successful on similar patients. As the doctors are consulting with patients live, they can consult the uRiKA system on iPads or other devices to get guidance and tweak their search parameters on the fly during the patient visit.
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