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Analytics: How to Win with Intelligence
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“When the facts change, I change my mind. What do you do, sir?”
– John Maynard Keynes
Post-surgical complications are a huge issue. In fact, they are the most common reason for unplanned readmissions to the hospital. Now, though, the University of Iowa Hospitals and Clinics has developed an analytics system that can predict which patients are at greater risks for suffering an infection from a surgical wound.
The system uses a variety of data, including details of the surgery itself (such as the patient’s vital signs, including blood pressure and heart rate) as well as information from the person’s medical records (whether, for example, he or she has diabetes or hypertension). By analyzing that data, the system can predict in real time who’s more likely to develop an infection. For patients who are at higher risk, doctors can then use a different technique in treating the wound or prescribe...
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