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Estimating disease burden using national linked electronic health records: a study using an English population-based cohort.

Robert W AldridgeHannah E R EvansAlexei YavlinskyAlireza MoayyeriKrishnan BhaskaranRohini MathurKelvin P JordanPeter CroftSpiros DenaxasAnoop D ShahRuth M BlackburnHenrik MollerEdmond S W NgAndrew HughesSebastian FoxJulian FlowersJurgen SchmidtAndrew HaywardRuth GilbertLiam SmeethHarry Hemingway
Published in: Wellcome open research (2024)
We use national EHRs to produce estimates of burden of disease to produce detailed estimates by deprivation, ethnicity and geographical region. National EHRs have the potential to improve disease burden estimates at a local and global level and may serve as more automated, timely and precise inputs for policy making and global burden of disease estimation.
Keyphrases
  • electronic health record
  • quality improvement
  • healthcare
  • public health
  • machine learning
  • mental health
  • deep learning
  • risk factors
  • clinical decision support
  • adverse drug
  • climate change