Dr. Kevin Ciresi is a healthcare executive with more than 28 years of experience. Dr. Ciresi is board-certified and has an interest in value-based care and accurate population data for the best healthcare delivery. During the COVID-19 vaccination implementation, our existing
population studies played an essential part in determining which networks and
people were treated first. These choices were made utilizing gathered
information with a large part of the race and nationality information missing.
Significant choices were made without an appropriate portrayal. Also, the
absence of equality inside our public health data network prompted a lopsided
effect and underestimated groups of people.
For the smartest strategy, we want the best information:
information that precisely portrays the differing needs of our networks. The
information ought to be both exhaustive and specific so groups within networks
can have their particular needs and challenges differentiated from others. We
need to be comparing apples to apples, not to all fruits in general if we are
to be successful in addressing the needs of the network.
There is much work to be done, however, correction of our
present techniques will permit us examination of our networks that can
illuminate specific treatment variances. Moreover better attention to
population groups and their components can provide better health to all members
with recognition of racial and socioeconomic factors. This could be even
another step in healthcare being more colorblind.
