数据质量
数据库
质量(理念)
公制(单位)
计算机科学
索引(排版)
质量管理
数据挖掘
运营管理
工程类
万维网
认识论
哲学
管理制度
作者
Shanoja Naik,Stephanie Voong,Megan Bamford,Kyle Smith,Angela Joyce,Doris Grinspun
标识
DOI:10.1093/jamia/ocaa031
摘要
Abstract A comprehensive data quality assessment is necessary to expand a nursing database that is designed for evaluating the impact of implementing Best Practice Guidelines (BPG) developed by the Registered Nurses’ Association of Ontario (RNAO). This case report presents a method to standardize data quality assessments of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database by developing a data quality framework (DQF) and assessing key dimensions of the framework using a data quality index (DQI). The data quality index is a single key performance metric for assessing the quality of the database. The aims of sharing this case report are 2-fold: (1) to promote best practices for assessing data quality by developing and implementing a data quality framework and (2) to demonstrate an unprecedented method of assessing the data quality of a nursing database.
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