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

Grant Proposals (eHealth, funded) (80) Clinical Informatics (1067) Email Communication, Web-Based Communication, Secure Messaging (169) mHealth in a Clinical Setting (634) Text-messaging (SMS, WeChat etc)-Based Interventions (669) Home Care (182) E-Health / Health Services Research and New Models of Care (554) Aging in Place (306) Dementia and Cognitive Decline (518)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50231, first published .
Examining the Use of Text Messages Among Multidisciplinary Care Teams to Reduce Avoidable Hospitalization of Nursing Home Residents with Dementia: Protocol for a Secondary Analysis

Examining the Use of Text Messages Among Multidisciplinary Care Teams to Reduce Avoidable Hospitalization of Nursing Home Residents with Dementia: Protocol for a Secondary Analysis

Examining the Use of Text Messages Among Multidisciplinary Care Teams to Reduce Avoidable Hospitalization of Nursing Home Residents with Dementia: Protocol for a Secondary Analysis

Authors of this article:

Kimberly R Powell1 Author Orcid Image ;   Mihail Popescu2 Author Orcid Image ;   Suhwon Lee3 Author Orcid Image ;   David R Mehr2 Author Orcid Image ;   Gregory L Alexander4 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Farmer M, Popescu M, Powell K. Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model. Journal of the American Medical Informatics Association 2025 View