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RWD-Cockpit: Application for Quality Assessment of Real-world Data.

Lmar Marie BabrakErand SmakajTeyfik AgacPetra Maria AsprionFrank GrimbergDaan Van der WerfErwin Willem van GinkelDeniz David TosoniIeuan ClayMarkus DegenDominique BrodbeckEriberto Noel NataliErik SchkommodauEnkelejda Miho
Published in: JMIR formative research (2022)
The results from the application of the framework of RWD metrics implemented in the RWD-Cockpit application suggests that multiple data sets can be preliminarily evaluated in terms of quality using the proposed metrics. The output scores-quality identifiers-provide a first quality assessment for the use of RWD. Although extensive challenges remain to be addressed to set RWD quality standards, our proposal can serve as an initial blueprint for community efforts in the characterization of RWD quality for regulated settings.
Keyphrases
  • quality improvement
  • electronic health record
  • healthcare
  • big data
  • transcription factor