_dennis-orton-no-middleware-no-problem-using-r-and-shiny-for-routine-review-of-qc-data-and-other-quality-metrics.jpg "Dennis Orton: No Middleware? No Problem. Using R and Shiny for Routine Review of QC Data and Other Quality Metrics from month format in r Video Screenshot Preview")
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⏲ Duration: 26 min 97 sec
✓ Published: 21-May-2020
✓ Published: 21-May-2020
Description:
Introduction: Review of quality control (QC) data in the clinical lab generally utilizes vendor-specific and costly middleware systems which may not be user friendly or display all desired information. Additionally, many instruments may not come with a middleware option, the middleware may be cost-prohibitive, or it may not allow off-site data review, making routine QC review fairly labour intensive or time-consuming. These issues are especially problematic in regions with de-centralized clinica
Introduction: Review of quality control (QC) data in the clinical lab generally utilizes vendor-specific and costly middleware systems which may not be user friendly or display all desired information. Additionally, many instruments may not come with a middleware option, the middleware may be cost-prohibitive, or it may not allow off-site data review, making routine QC review fairly labour intensive or time-consuming. These issues are especially problematic in regions with de-centralized clinica
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