Hospitals
Big data, by
definition, analyzes mass amounts of data for a particular purpose. This may be
to describe or predict an event with a statistical significance. The former may
be for quarterly board meetings to describe the revenue level and its changes.
The latter may be used to describe when traditional disk drives fail so that
they may be replaced prior to this estimated date.
For
hospitals, this is a perfect fit. The administrator is able to provide data
during a presentation regarding patient count. This data may be supplemented by
the further analysis capabilities provided by the big data analytics in the
form of why the patient count changed. The predictive analytics would be used
to note the expected level of patients at a future point in time, or other
pertinent points of interest.
Data
analytics in this application can be used to maintain proper staffing levels
for future periods, maintain the proper inventory control, and to analyze
opportunities for efficiencies and increased patients.
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