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Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study.

Sifat SharminJohannes J MeijJeffrey D ZajacAlan Rob MoodieAndrea Britta Maier
Published in: International journal of clinical practice (2021)
We propose a 10-item predictive model to flag high-risk patients in a diverse population before discharge using readily available hospital administrative data which can easily be integrated into the hospital information system.
Keyphrases
  • end stage renal disease
  • electronic health record
  • healthcare
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • big data
  • prognostic factors
  • adverse drug
  • acute care
  • social media
  • deep learning