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Three Ways Artificial Intelligence Can Aid Patient Matching

September 30, 2020

Since the dawn of the digital revolution in healthcare, providers have been in search of tools to connect disparate systems and deliver timely and secure patient data directly to the point of care. Our public health crisis is a sobering example of just how desperately seamless information sharing capabilities are needed.

While EHRs have become commonplace, the disjointed, competitive nature of IT systems contributes to a proliferation of duplicate and incomplete patient records. The inability to consistently match patients to their data can have dire consequences, leading to inappropriate medications being dispensed, incorrect diagnoses, erroneous test results and increased risk from redundant medical procedures.

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