The U.S. produces 1.2 billion clinical care documents each year. These documents contain information about a patient’s medical history, doctor’s visits, hospital visits, previous treatments, procedures, test results and prescription medications. Physicians can access information about their patient from their electronic health record to weigh treatment options, but to really gain deeper understandings of the patient and accelerate quality care delivery, they need the help of sophisticated data analytics and machine learning. Without such analytics tools, it’s extremely difficult for healthcare providers to get a complete view of patient health, and as a result, physicians make care decisions based on incomplete and underutilized data.
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