various algorithms, and then supplies predictive data
to those same staffers to enhance patient care.
As just one example, 3D printing holds great
promise for limb replacement and other medical
use, but skilled operators to run the printers, and
surgical teams to implant the product, will still be
necessary (“The Impact of Artificial Intelligence In
Healthcare,” 2017). Machines will continue to be
developed that can learn, adapt, and enhance
healthcare. It will be incumbent upon healthcare
workers and the systems that employ them to
integrate man and machine in the most effective
possible way. The healthcare AI market is set to
reach $6.6 billion by 2021 (“Artificial Intelligence:
Healthcare’s New Nervous System,” 2017), so
engagement and adaptation is the only way forward.
These are only a few of the workforce challenges in
the current healthcare environment. Ongoing issues
also include the continuing adaptation, evolution,
and integration of electronic health records across
multiple platforms as well as the political shifts with
regard to Medicare and Medicaid. Another key issue
will be how reimbursement from the government
and private insurers may be affected. As always, the
best approach is to remain focused on providing the
best possible patient care and stay abreast of trends
to analyze the best way to accomplish that mission
while also creating an innovative and forward-
looking workplace for clinicians and support staff.
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