diff --git a/statements/src/docbkx/Book Content/Book Ecosystem combined.xml b/statements/src/docbkx/Book Content/Book Ecosystem combined.xml
index 4358241..75cc09c 100644
--- a/statements/src/docbkx/Book Content/Book Ecosystem combined.xml	
+++ b/statements/src/docbkx/Book Content/Book Ecosystem combined.xml	
@@ -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
diff --git a/statements/src/docbkx/Book Content/Book Introduction.xml b/statements/src/docbkx/Book Content/Book Introduction.xml
index 88faed3..36c122d 100644
--- a/statements/src/docbkx/Book Content/Book Introduction.xml	
+++ b/statements/src/docbkx/Book Content/Book Introduction.xml	
@@ -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>