Sentence examples for data quality benchmarks from inspiring English sources

Source-to-database error rates are highly dependent on the amount of structured data collection in the clinical setting and on the complexity of the medical record, dependencies that should be considered when developing data quality benchmarks.

Over the next several years as analysts work to establish data quality benchmarks as well as the quality measure distributions using the MDS 3.0, the data presented here on almost a decade of MDS 2.0 data provides a standard of consistency, reliability and completeness against which the MDS 3.0 should be compared.

This particular strand specific protocol was evaluated as superior in terms of simplicity and data quality in a benchmark study of strand specific protocols [ 18].

We also estimated the adenoma detection rate (ADR) of surveillance and screening colonoscopy, thereby contributing data for the formation of quality benchmarks.

Data standards are an essential prerequisite to any large scale information infrastructure because they provide benchmarks for data quality and define how information are formatted and categorized in order to be stored, managed, searched for and used across many different software applications (Bowker, 2008).

Boards that engage in reviewing and tracking organisational performance through the collection and analysis of internally generated data (quality dashboards or scorecards), national benchmarks and soft intelligence gathered from board walk rounds along with patient and staff stories and experiences are also associated with improvements in quality and safety [ 30- 33].

The National Surgical Quality Improvement Program-Pediatrics (NSQIP-P) collects data for institutional quality benchmarking of surgery performed on children using a sampling algorithm.

After conservatively aligning reads using TopHat [ 66], we assessed data quality following the RNA sequencing benchmarking metrics put forth by DeLuca et al. and Wang et al. [ 67, 68].

The methods employed here may continue to be used to monitor data quality in this province over time and they provide a benchmark for comparisons with other jurisdictions implementing the RAI 2.0 in similar populations.

By improving WWTP data quality using mass balance calculations useful new information becomes available for process evaluation, WWTPs design and benchmarking.

Benchmark studies have shown that the Chemical Component Annotation Tool provides significant improvements in processing efficiency and data quality.