We all know about Groundhog Day, February 2, when Punxsutawney Phil emerges from hibernation and predicts whether we will have six more weeks of winter. But there is a second Groundhog Day, which is January …
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One of the best parts about predicting the future is how rarely the soothsayer is held accountable. The famous Michel de Nostredame, better known as Nostradamus, is popularly credited with predicting the rise of Hitler …
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Analytics software presents a growing ever-present danger to organizations that do not understand how to best utilize the reports generated. Effective data governance requires that an overall objective for the analytics be set in advance of running reports.
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Rather than considering patient information, and in particular genetic testing results, as private property to be used for private good, perhaps it is time to think of our population’s medical information as private property, owned and controlled by the patient, to be used for public good.
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Although most attention to HIT focuses on the use of the EMR, other recent HIT tools successfully merge clinical and administrative activities that previously stood independent of each other.
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With the advent of EMRs and other sophisticated clinical and administrative HIT systems, each transferred patients comes with an exponentially larger set of patient data, much of it extremely valuable to receiving hospitals and their clinical staff trying to effectively and efficiently manage the limited resources available to treat these very complex patients.
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For more than a decade William Yasnoff, MD, advocated the use of a centralized model for storage of medical records in a health record bank.
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While some consider the Meaningful Use program a failure, this viewpoint contains overtones of “Monday morning quarterbacking.”
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For the MACRA program to be effective patient data from numerous points of care must be collected, yet ineffective interoperability presents a substantial barrier to producing the necessary reports.
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Most medical treatments are designed to treat the average patient. This broad approach fails to account for the differences in genetics, physiology, environments, and lifestyles that greatly impact the effectiveness of therapies.
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