This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2226) Clinical Informatics (918) Clinical Information and Decision Making (1339) Human Factors and Usability Case Studies (748) E-Health / Health Services Research and New Models of Care (462) Quality Improvement (226) Adoption and Change Management of eHealth Systems (677) New Technologies (67) Artificial Intelligence (1214) Decision Support for Health Professionals (1145)

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

Authors of this article:

Monika Nair1 Author Orcid Image ;   Jonas Andersson2 Author Orcid Image ;   Jens M Nygren1 Author Orcid Image ;   Lina E Lundgren3 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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