Literature DB >> 29388495

Veracity in big data: How good is good enough.

Andrew P Reimer1, Elizabeth A Madigan2.   

Abstract

Veracity, one of the five V's used to describe big data, has received attention when it comes to using electronic medical record data for research purposes. In this perspective article, we discuss the idea of data veracity and associated concepts as it relates to the use of electronic medical record data and administrative data in research. We discuss the idea that electronic medical record data are "good enough" for clinical practice and, as such, are "good enough" for certain applications. We then propose three primary issues to attend to when establishing data veracity: data provenance, cross validation, and context.

Keywords:  clinical decision-making; data quality; databases and data mining; decision support systems; electronic health records

Mesh:

Year:  2018        PMID: 29388495     DOI: 10.1177/1460458217744369

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  2 in total

Review 1.  The Prediction of Public Risk Perception by Internal Characteristics and External Environment: Machine Learning on Big Data.

Authors:  Qihui Xie; Yanan Xue
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

Review 2.  Big Data in Laboratory Medicine-FAIR Quality for AI?

Authors:  Tobias Ueli Blatter; Harald Witte; Christos Theodoros Nakas; Alexander Benedikt Leichtle
Journal:  Diagnostics (Basel)       Date:  2022-08-09
  2 in total

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