Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47335, first published .
Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews

Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews

Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews

Monika Nair   1 , PhD ;   Jonas Andersson   2 , MSc, MD ;   Jens M Nygren   1 , PhD ;   Lina E Lundgren   3 , PhD

1 School of Health and Welfare, Halmstad University, Halmstad, Sweden

2 Cambio Healthcare Systems AB, Stockholm, Sweden

3 School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden

Corresponding Author:

  • Lina E Lundgren, PhD
  • School of Business, Innovation and Sustainability
  • Halmstad University
  • Kristian IV:s väg 3
  • Halmstad, 30118
  • Sweden
  • Phone: 46 707227544
  • Email: lina.lundgren@hh.se