Revolutionizing Patient Surveillance in Assisted Living Facilities: Insights from AUGi Technology Implementation.
AI
Assisted Living
Falls
Patient Surveillance
Technology
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
24 Jul 2024
24 Jul 2024
Historique:
medline:
26
7
2024
pubmed:
26
7
2024
entrez:
25
7
2024
Statut:
ppublish
Résumé
In the face of escalating non-fatal fall-related expenses and an aging population, innovative solutions in assisted living facilities (ALFs) are imperative. This study evaluates the implementation of a remote-surveillance technology (AUGi) across three diverse ALFs, emphasizing its impact on falls and falls with injury across sites. Utilizing comprehensive data collection, AUGi facilitated an average reduction of 64% in falls (p < 0.01) and falls with injury (p = 0.05), a statistically and clinically significant difference. The technology's success in enhancing nurse surveillance, providing prompt notifications, and reducing falls underscores its potential to transform ALF care dynamics. This pioneering approach not only fosters better staff-patient interactions but also provides a foundation for future advancements in clinical decision support systems, offering hope for mitigating falls in ALFs.
Identifiants
pubmed: 39049377
pii: SHTI240274
doi: 10.3233/SHTI240274
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM