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A national surveillance system for continuous monitoring of blood transfusion safety: German haemovigilance data.

Philipp BergMargarethe HeidenSusanne MüllerBritta MeyerCornelia WitzenhausenGabriele Ruppert-SeippSarah KehrMarkus B Funk
Published in: Vox sanguinis (2024)
Long-term data collection forms the basis to establish trends and changes in reporting and to evaluate the effect of RMM. Standardized criteria for reaction types, seriousness and imputability assessments and availability of a denominator are important elements. Central data collection and independent assessment allow for monitoring HV data in a nationwide context over time. Stakeholder involvement and transparent feedback on the benefit of RMM will help to achieve the objectives of HV.
Keyphrases
  • electronic health record
  • big data
  • public health
  • cross sectional
  • quality improvement
  • artificial intelligence
  • deep learning