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Combining population-based administrative health records and electronic medical records for disease surveillance.

Saeed Al-AzaziAlexander SingerRasheda RabbaniLisa M Lix
Published in: BMC medical informatics and decision making (2019)
The OR and AND methods are influenced by correlation amongst the data sources, while the RSSA method is dependent on the accuracy of prior sensitivity and specificity estimates. The PSSA method performed well when population prevalence was high and average correlations amongst disease markers was low. This study will guide researchers to select a data-combining method that best suits their data characteristics.
Keyphrases
  • electronic health record
  • public health
  • big data
  • healthcare
  • mental health
  • risk factors
  • artificial intelligence
  • health information
  • climate change
  • social media
  • health promotion