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文章基本信息

  • 标题:Data Quality: A Systematic Review of the Biosurveillance Literature
  • 本地全文:下载
  • 作者:Tera Reynolds ; Ian Painter ; Laura Streichert
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2013
  • 卷号:5
  • 期号:1
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要:A literature review of data quality issues highlights how the quality of health data has been discussed in the biosurveillance literature and frames it in relation to the broader data quality (DQ) field. Results of the literature review include: completeness as the most commonly measured dimension of DQ; methods for regular DQ monitoring and occasional evaluation; various methods of improving data quality; and communication with the data entry personnel as the most common preventative step. The results suggest that developing a DQ program could facilitate understanding the sources of poor DQ; recognizing DQ problems; and improving DQ for improved efficiency and effectiveness of biosurveillance systems.
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