Healthcare Analytics, Population Health Management, Healthcare Big Data

Rising to the Challenges of Artificial Intelligence in Healthcare

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The majority of artificial intelligence applications require vast volumes of data, which must be gathered, stored securely, normalized, annotated, analyzed, and presented to end-users in a meaningful, intuitive fashion. In order to take advantage of what artificial intelligence has to offer, healthcare organizations will need to overhaul their technical foundations, clinical workflows, and strategic goals.

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