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Data quality

Nursing Management, 2010
The Healthcare Quality Improvement Partnership has produced a guide covering all aspects of data collection, from what data quality means and how to improve it, to how to ensure that the purpose or objective ofclinical audits clearly identifies the nature of the data needed.
Thomas K Windholz   +2 more
openaire   +3 more sources

Structured data quality reports to improve EHR data quality

International Journal of Medical Informatics, 2015
To examine whether a structured data quality report (SDQR) and feedback sessions with practice principals and managers improve the quality of routinely collected data in EHRs.The intervention was conducted in four general practices participating in the Fairfield neighborhood electronic Practice Based Research Network (ePBRN).
Jane Taggart, Siaw-Teng Liaw, Hairong Yu
openaire   +2 more sources

Data Quality Mining

2019
We are living in a world of information abundance, surplus, and access. We have technologies to acquire any type of information but we still face the challenge of extracting the underlying valuable knowledge. Data analyses and mining processes may be severely impaired whenever data are corrupted by noise, ambiguity and distortions.
Oliveira, Alexandra   +4 more
openaire   +2 more sources

Evaluating data quality for blended data using a data quality framework

Statistical Journal of the IAOS: Journal of the International Association for Official Statistics
In 2020 the U.S. Federal Committee on Statistical Methodology (FCSM) released “A Framework for Data Quality”, organized by 11 dimensions of data quality grouped among three domains of quality (utility, objectivity, integrity). This paper addresses the use of the FCSM Framework for data quality assessments of blended data. The FCSM Framework applies to
Jennifer D, Parker   +5 more
openaire   +2 more sources

data quality

Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics, 2011
In this keynote I explore what exactly do we mean by data quality, techniques to assess data quality and the very significant challenges that poor data quality can pose. I believe we neglect data quality at our peril since - whether we like it or not - our research results are founded upon data and our assumptions that data quality issues do not ...
openaire   +2 more sources

Regarding “Quality Improvement Demands Quality Data”

Anesthesia & Analgesia, 2016
Roger A, Moore, DeLaine, Schmitz
openaire   +2 more sources

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