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[Methodological Challenges when Using Claims Data of more than 70 Statutory Health Insurances - A Progress Report from the EVA64 Study].

Stefanie MarchLinda ZimmermannDenise KubatAnne NeumannJochen SchmittFabian BaumOlaf SchofferKatrin ArnoldMartin SeifertRoman KliemtDennis HäcklAndrea PfennigEnno Swart
Published in: Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) (2020)
The scientific use of claims data of numerous SHIs in the context of an evaluation study represents a great challenge. In the absence of reference values for abnormalities and implausibilities, an a priori determination of test algorithms was limited; instead they had to be updated every year. The individual examination of the data of all health insurance companies remains very complex. The detailed documentation of these algorithms provides support for future comparable studies.
Keyphrases
  • health insurance
  • electronic health record
  • machine learning
  • affordable care act
  • healthcare
  • big data
  • public health
  • deep learning
  • mental health
  • high resolution
  • human health
  • case control