There are few better uses for big data and analytics than their potential role in medical predictive analysis and the betterment of healthcare outcomes. Central to this effort is the electronic medical record (EMR), a daunting attempt to reconcile medical records across hospitals, clinics, physicians’ offices, and labs.
The promise of a universal EMR is that a patient can be treated anywhere because any healthcare provider will have complete access to the patient’s medical history including prescriptions. If the EMR works as hoped, medical mistakes (which kill approximately 100,000 people in the U.S. annually) can be reduced.
Equally important is the ability to run analytics on data that is both transactional and unstructured.