Login / Signup

Attitudes of Patients and Health Professionals Regarding Screening Algorithms: Qualitative Study.

Christina OxholmAnne-Marie Soendergaard ChristensenRegina ChristiansenUffe Kock WiilAnette Søgaard Nielsen
Published in: JMIR formative research (2021)
When developing and implementing an algorithmic helping tool, the following aspects should be considered: (1) making the helping tool as transparent in its recommendations as possible, avoiding black boxing, and ensuring room for professional discretion in clinical decision making; and (2) including and taking into account the attitudes and opinions of patients and health professionals in the design and development process of such an algorithmic helping tool.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • machine learning
  • prognostic factors
  • peritoneal dialysis
  • deep learning
  • patient reported