The era of precision medicine has arrived, and with it, a tidal wave of data from disparate sources, including electronic health records (EHRs), lab systems, pathology and genomics. By integrating data from all available sources and analyzing it in smart ways, clinicians can finally get a complete picture of an individual’s medical profile and define a truly personalized approach to care.
While a clinician’s skill lies in having the expertise and judgment to evaluate every factor involved and making the correct call, the true barrier he or she faces—where clinical decision support (CDS) tools become a critical ally—is the challenge of collecting, analyzing, and using this data to guide treatment decisions.
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