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Development and validation of a tool to predict high-need, high-cost patients hospitalised with ischaemic heart disease.

Arinze Nkemdirim OkereRichard K MoussaAskal AliVakaramoko K Diaby
Published in: BMJ open (2023)
The Excel-based HNHC risk predictive tool can accurately identify at-risk patients for HNHC based on three measures of healthcare expenditures.
Keyphrases
  • end stage renal disease
  • healthcare
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • patient reported outcomes