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Interactive patient education via an audience response system in cardiac rehabilitation.

Dietrich StoevesandtAndreas WeberAndreas WienkeSteffi BethgeViktoria HeinzeSimone KowollAxel Schlitt
Published in: SAGE open medicine (2020)
This study provides interesting and new data on the use of an interactive learning method for patients to gain knowledge about their primary disease and eventually improve their physical and mental health status in a long-term perspective. By implementing different and new ways of teaching and interaction during the hospitalization, not only patients, but also medical staff and caregivers could benefit.
Keyphrases
  • end stage renal disease
  • healthcare
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • machine learning
  • electronic health record
  • deep learning
  • artificial intelligence