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Linking Data for Mothers and Babies in De-Identified Electronic Health Data.

Katie L HarronRuth GilbertDavid CromwellJan van der Meulen
Published in: PloS one (2016)
Probabilistic linkage of maternal and baby healthcare characteristics offers an efficient way to enrich maternity data, improve data quality, and create longitudinal cohorts for research and service evaluation. This approach could be extended to linkage of other datasets that have non-disclosive characteristics in common.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • mental health
  • public health
  • body mass index
  • hiv testing
  • physical activity
  • climate change
  • hiv infected
  • men who have sex with men
  • weight gain
  • pregnancy outcomes