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chapter5.qmd
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chapter5.qmd
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@ -5,6 +5,50 @@ progress<!--# Write after I write everything else -->
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## Summary of Results
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## Summary of Results
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The findings of this study indicate that within another commonly ordered
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laboratory testing, the diagnostic value of Free T4 can be predicted
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accurately 80% of the time. While examining only the elevated TSH
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results, the algorithm had a false positive rate of 2% and a false
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negative rate of 16%. In the original data, 76% of the time, the result
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was non-diagnostic for Hypo-Thryodism. For the decreased TSH results,
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the algorithm had a false positive rate of 8% and a false negative rate
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of 20%. In the original data, 67% of the time, the result was
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non-diagnostic for Hyper-Thryodism.
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1846 - Hypo
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423 - Hyper
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9170 - High TSH (hypo)
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## Real World Applications
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While the current algorithm did not quite achieve an accuracy ready for
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deployment, it is hypothesized that a system like this could be
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implemented in clinical decision-making systems. As stated previously,
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current practice is a physician (or other care providers) orders a TSH,
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and if the value is outside laboratory-established reference ranges, the
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Free T4 is added on. In the current study database, this reflex testing
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was non-diagnostic 76% of the time for elevated TSH values and 67% for
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decreased TSH values. Using clinical decision support first to predict
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whether the Free T4 would be diagnostic, the care provider can use this
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prediction and other patient signs and symptoms to determine if running
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a Free T4 lab test is needed.
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Similarly to Luo et al., the idea that the diagnostic information
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offered by Free T4 often duplicates what other diagnostic tests provide
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suggests a notion of "informationally" redundant testing [-@luo2016]. It
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is speculated that informationally redundant testing occurs in various
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diagnostic settings and diagnostic workups. It is much more frequent
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than the more traditionally defined and narrowly framed notion of
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redundant testing, which most often includes unintended duplications of
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the same or similar tests. Under this narrow definition, redundant
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laboratory testing is estimated to waste more than \$5 billion annually
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in the United States, potentially dwarfed by the waste from
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informationally redundant testing [@luo2016]. However, since Free T4 and
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all other tests used in this study are performed on automated
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instruments, the cost savings to the lab and patient may be minimal.
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## Study Limitations
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## Study Limitations
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Section overview - In progress
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Section overview - In progress
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@ -51,31 +95,3 @@ more powerful algorithm
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### Future Studies
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### Future Studies
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Explain how to fix these issues.
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Explain how to fix these issues.
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## Real World Applications
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While the current algorithm did not quite achieve an accuracy ready for
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deployment, it is hypothesized that a system like this could be
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implemented in clinical decision-making systems. As stated previously,
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current practice is a physician (or other care providers) orders a TSH,
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and if the value is outside laboratory-established reference ranges, the
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Free T4 is added on. In the current study database, this reflex testing
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was non-diagnostic 76% of the time for elevated TSH values and 67% for
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decreased TSH values. Using clinical decision support first to predict
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whether the Free T4 would be diagnostic, the care provider can use this
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prediction and other patient signs and symptoms to determine if running
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a Free T4 lab test is needed.
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Similarly to Luo et al., the idea that the diagnostic information
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offered by Free T4 often duplicates what other diagnostic tests provide
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suggests a notion of "informationally" redundant testing [-@luo2016]. It
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is speculated that informationally redundant testing occurs in various
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diagnostic settings and diagnostic workups. It is much more frequent
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than the more traditionally defined and narrowly framed notion of
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redundant testing, which most often includes unintended duplications of
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the same or similar tests. Under this narrow definition, redundant
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laboratory testing is estimated to waste more than \$5 billion annually
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in the United States, potentially dwarfed by the waste from
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informationally redundant testing [@luo2016]. However, since Free T4 and
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all other tests used in this study are performed on automated
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instruments, the cost savings to the lab and patient may be minimal.
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