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Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation.

Gavin JamieWilliam ElsonDebasish KarRashmi WimalaratnaUy HoangBernardo Meza-TorresAnna ForbesWilliam HintonSneha N AnandFilipa FerreiraRachel ByfordJose Ordonez-MenaUtkarsh AgrawalSimon de Lusignan
Published in: JAMIA open (2024)
Phenotypes for surveillance and research can be described fully and comprehensibly using CQL and intensional FHIR valuesets. Our use case phenotypes identified a greater number of cases, whilst anticipated from excessive alcohol this was not for our other variable. This may have been due to our use of SNOMED CT hierarchy. Our new process fulfilled a greater number of phenotype desiderata than the one that we had used previously, mostly in the modeling domain. More work is needed to implement that sharing and warehousing domains.
Keyphrases
  • public health
  • computed tomography
  • image quality
  • social media
  • health information
  • weight gain
  • magnetic resonance imaging
  • case control
  • alcohol consumption
  • weight loss