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Healthcare professionals are using artificial intelligence, Big Data and analytics to ensure care is preventive rather than reactive.
Big Data brings significant value to healthcare organizations, but they need help optimizing their data analytics capabilities.
The amount of data being collected by healthcare organizations is often too large for traditional database management tools to process. By using machine learning (ML), predictive modeling and advanced analytics applications, health systems can mine structured, semistructured and unstructured data.
“Advanced analytics, automation and artificial intelligence are all important tools and techniques that healthcare organizations should be deploying to improve clinical, operational and financial outcomes,” says Rhiannon Harms, chief data and analytics officer at UnityPoint Health.
Big Data and health analytics can play a helpful...
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