Login / Signup

Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study.

Lorina BuhrPauline Lucie Martiana KaufmannKatharina Jörß
Published in: JMIR cardio (2022)
Our findings provide potentially valuable insights for introducing DMMD in cardiovascular research in the German context. They have several practical implications, such as a high divergence in attitudes among patients with cHF toward different data-receiving organizations as well as a large variance in preferences for the modes of receiving information included in the consenting procedure for data sharing for research. We suggest addressing patients' multiple views on consenting and data sharing in institutional normative governance frameworks for data-intensive medical research.
Keyphrases
  • electronic health record
  • big data
  • ejection fraction
  • healthcare
  • mental health
  • newly diagnosed
  • prognostic factors
  • data analysis
  • machine learning
  • chronic kidney disease
  • deep learning
  • artificial intelligence