Accessibility settings

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

Non-randomized Protocols and Methods (ehealth) (737) Decision Support for Health Professionals (1668) Safety and Error Prevention in Health (265) Design of Processes and Workflows (219) Participatory Design and Participatory Research (457) Falls Prevention in the Elderly (112) Responsible Health AI (100)

Published on in Vol 15 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84294, first published .
Investigating the Implementation and Impact of AI-Assisted Fall Prevention in Hospitals: Protocol for a Multicenter, Multimethod Observational Study in Sweden (SAFE)

Investigating the Implementation and Impact of AI-Assisted Fall Prevention in Hospitals: Protocol for a Multicenter, Multimethod Observational Study in Sweden (SAFE)

Investigating the Implementation and Impact of AI-Assisted Fall Prevention in Hospitals: Protocol for a Multicenter, Multimethod Observational Study in Sweden (SAFE)

Authors of this article:

Elin Siira1 Author Orcid Image ;   Anna Gyberg1, 2 Author Orcid Image ;   Ingrid Larsson1 Author Orcid Image ;   Marcus Rosenburg1 Author Orcid Image ;   Petra Svedberg1 Author Orcid Image ;   Kerstin Ulin2, 3 Author Orcid Image ;   Helle Wijk3, 4, 5 Author Orcid Image ;   Thomas Brezicka5 Author Orcid Image ;   Malin Hansson3, 6 Author Orcid Image ;   Jenny Hallgren7 Author Orcid Image ;   Jens Nygren1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .