Information technology in healthcare is moving before our eyes. Long defined by non-interoperable networks and inaccessible information, health IT now elevates data usage and analytics across the board — to the benefit of sufferers, physicians, and hospitals.
It is a time of discovery, when predictive modeling and genomic sequencing are fast becoming components of completely digitized health agencies in partnership with the patients and communities they serve.
Digitization of healthcare records has literally paved the way for a far more informed, innovative, and personalized care paradigm.
Why digitization matters
When patient information is stagnant, stored in manila envelope silos, it can’t be analyzed, compared, contrasted, and combined to deduce best practices and population health trends or to provide real-time support tools for clinicians.
In the similar way Nate Silver revolutionized sports and political predictions by observing data using predictive modeling techniques, digitizing protected health data will change the game in personalized medicine, pharmaceutical innovation, understanding of complication rates, discovering and instituting best practices, genomic modeling, and more.
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