Learning from our past: Using medical history to guide patient care

Review written by Kimberly Sabsay (LSI, GS)

The transition to a highly digitized society is well underway. Hospital data and medical charts are no exception. According to the CDC, over 85% of healthcare organizations have adopted Electronic Health Record (EHR) systems as of 2017. EHRs, while increasingly complex, could very well hold the secret to advancing patient care and diagnostics. EHRs contain medical history, medications, and test results, much like a regular health record, while also providing real-time information and tools to automate treatment plans. Predictive healthcare analytics are at our fingertips, and a novel statistical framework designed by researchers at Princeton University unlocks the massive potential of personalized, predictive, and real-time medical monitoring systems.

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