Operational analytics in health care developed since the
integration of big data systems. These systems help doctors and nurses work
without restrictions by allowing more information about patients, and
speeding up the delivery of diagnostics by providing real time test
results. Diagnosticians can view recent medical interventions given to a
patient that would otherwise be unknown in a paper based system. One
issue big data systems have is that the amount of data collect is so large
that extracting value from it takes constant analysis and when potential value is discovered, decision makers need to give consent to make changes in the system.
Our health care analytics takes a detailed and comprehensive approach
to operational improvements. We identify key aspects of
operations and make improvements based on patient flow and the
utilization of assets. We can discover bottle necks and system wide
optimization improvements that will increase the flow of patients and reduce overtime for staff and administration.
We also can optimize scheduling to address overtime
issues while complying with state and federal regulations. We often
discover that reducing work load of each employee by optimizing the
quantity of workers can produce a happier and well rested staff.
Databases can offer additional insights such as when a clinic or
hospital should grow or downsize, in source or outsource services, optimize procurement and inventory management.
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