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Feature/ikmd535 rania edits #22

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104e9a2
Rania edits to grammar 04092025
raniag13 Apr 9, 2025
40e0883
Rania edit to content 04102025
raniag13 Apr 10, 2025
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2 changes: 1 addition & 1 deletion statements/src/docbkx/Book Content/Book Ecosystem combined.xml
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Expand Up @@ -112,7 +112,7 @@
patients, and readers from all over the world. The collective knowledge from these
stakeholders provided direction for treatment options and, most importantly, kindled the
source of shared hope to bring a sense of humanity during difficult times. </para>
<para>Another example of the impact of Crowdsourcing or Wisdom of Crowds is the COVID-19
<para>Another example of the impact of crowdsourcing or wisdom of crowds is the COVID-19
pandemic. Crowdsourcing was used to track the development and availability of COVID-19
vaccines all around the world and facilitated the 3D-printing of medical supplies, such
as protective gear, masks, face shields, and mechanical ventilators, for healthcare
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11 changes: 6 additions & 5 deletions statements/src/docbkx/Book Content/Book Introduction.xml
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Expand Up @@ -366,11 +366,12 @@
other industries. Health data is unique in its direct association with a person’s
health outcomes. Nuanced concepts exist in patient care settings creating challenges
for the representation thereof in data capture and transmission. Laboratory testing
on a specimen involves a plethora of biological concepts which must be represented
by data in a meaningful way while maintaining precision as well as consumption for
other entities or systems in the ecosystem. When an association to a patient’s
health outcomes is combined with such nuanced concepts, exceptional rigor must be
taken in the maintenance of data precision and representation.</para>
on a specimen involves a plethora of biological concepts and different units of
measure which must be represented by data in a meaningful way while maintaining
precision as well as consumption for other entities or systems in the ecosystem.
When an association to a patient’s health outcomes is combined with such nuanced
concepts, exceptional rigor must be taken in the maintenance of data precision and
representation.</para>
</section>
<section>
<title>The Size, Scale, and Complexity of the System</title>
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