Login / Signup

A methodology for identifying high-need, high-cost patient personas for international comparisons.

Jose F FigueroaKathryn E HornefferKristen RileyOlukorede AbionaMina ArvinFemke AtsmaEnrique Bernal-DelgadoCarl Rudolf BlankartNicholas BowdenSarah DeenyFrancisco Estupiñán-RomeroRobin GauldTonya Moen HansenPhilip HaywoodNils JanlovHannah KnightLuca LorenzoniAlberto MarinoZeynep OrLeila PelletDuncan OrlanderAnne PenneauAndrew J SchoenfeldKosta ShatrovKjersti Eeg SkudalMai StaffordOnno van de GalienKees van GoolWalter P WodchisMarit TankeAshish K JhaIrene Papanicolas
Published in: Health services research (2021)
Although there are cross-country differences in the availability and structure of data sources, countries had the ability to effectively identify comparable HNHC personas for international study. This work serves as the methodological paper for six accompanying papers examining differences in spending, utilization, and outcomes for these personas across countries.
Keyphrases
  • electronic health record
  • type diabetes
  • big data
  • machine learning
  • metabolic syndrome
  • deep learning