Machine learning. Hospitals now use predictive analytics to forecast the average stays and potential problems for operations, like hip surgery.
For instance, data from healthcare purchasers showed patients’ ages, core healthcare providers and secondary diagnosis. Using machine learning and predictive analysis, the data can now predict future costs and help identify patients who might have problems in recovery. The outcome? Hospitals make better clinical decisions, experience lower rates of readmission, offer shorter hospital stays, and provide better care.
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