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Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

Medical Care · 2013 · Vol. 51(Supplement 8Suppl 3) · pp. S30–S37
William HershMark G. WeinerPeter J. EmbíJudith LoganPhilip PayneElmer V. BernstamHarold P. LehmannGeorge HripcsakTimothy H. HartzogJames J. CiminoJoel Saltz

Abstract

The growing amount of data in operational electronic health record systems provides unprecedented opportunity for its reuse for many tasks, including comparative effectiveness research. However, there are many caveats to the use of such data. Electronic health record data from clinical settings may be inaccurate, incomplete, transformed in ways that undermine their meaning, unrecoverable for research, of unknown provenance, of insufficient granularity, and incompatible with research protocols. However, the quantity and real-world nature of these data provide impetus for their use, and we develop a list of caveats to inform would-be users of such data as well as provide an informatics roadmap that aims to insure this opportunity to augment comparative effectiveness research can be best leveraged.

Electronic Health Records SystemsData Quality and ManagementBiomedical Text Mining and OntologiesComparative effectiveness researchComputer scienceData scienceElectronic health recordReuseHealth recordsHealth informaticsInformaticsManagement scienceRisk analysis (engineering)

MeSH terms

Data CollectionData Interpretation, StatisticalHumansInsurance Claim ReviewResearch DesignComparative Effectiveness ResearchElectronic Health Records

Funding

  • National Institutes of Health
  • Centers for Disease Control and Prevention
  • National Center for Advancing Translational Sciences
  • H2020 European Research Council
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