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The complexity of the test management process and high volume of test results requires significant review and reform of work practices to allow electronic endorsement to occur easily.
97 To help improve the reliability of follow-up of the high volume of test results, electronic result managers have been created both comprehensive systems 98 99 as well as test-specific systems such as tools related to cancer screening or follow-up.
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Modern Fertility, meanwhile, has "systems and tech and integrations that support a high volume of tests" conducted at the same time, she says, explaining that with volume comes discounted pricing.
Because of this high volume of tests, the cost of implementation training and support for RDT rollout was relatively low when considered per test.
For others, the high volume of tests ordered made the workload involved in reconciling tests ordered with results received 'impossible' and this impacted on what was communicated to patients, while there was also a reliance on patients to contact the practice for test results.
Because of the high volume of testing expected in this area, it is important that attention and support be given to the development of links among the many providers involved in the identification, diagnosis, and follow-up of congenital hearing loss.
Considering the need for high volumes of testing, automation and streamlining of these assays is highly desirable.
With such very high volumes of testing, the impact of even small differences in assay performance are greatly magnified and at a population level, there can be a large cost to pursuing a testing strategy with an overall lower specificity (this variable indicates the percentage of negative test results in a group of people who do not have the condition or disease of interest).
There will be billing codes, skills training, and benchmarks marking the milestones toward a higher volume of tests.
A statement from the governing body continued: "A higher volume of tests will be conducted to ensure a more precise evaluation of the fitness of a technology and to provide a full statistical analysis.
A p < 0.01 was used in this analysis as a cut-off value for statistical significance (a significance value of p < 0.05 was not used here as computing a high volume of statistical tests can lead to significant results purely by chance; setting a lower significance value greatly reduces the chance of this happening).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com