Cargando…
Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting
BACKGROUND: Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored. OBJECTIVE: To test the hypothesis time to se...
Autores principales: | Harrison, Andrew M., Thongprayoon, Charat, Aakre, Christopher A., Jeng, Jack Y., Dziadzko, Mikhail A., Gajic, Ognjen, Pickering, Brian W., Herasevich, Vitaly |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354075/ https://www.ncbi.nlm.nih.gov/pubmed/28316887 http://dx.doi.org/10.7717/peerj.3083 |
Ejemplares similares
-
Testing modes of computerized sepsis alert notification delivery systems
por: Dziadzko, Mikhail A., et al.
Publicado: (2016) -
Towards automated calculation of evidence-based clinical scores
por: Aakre, Christopher A, et al.
Publicado: (2017) -
Artificial intelligence and computer simulation models in critical illness
por: Lal, Amos, et al.
Publicado: (2020) -
Automating Quality Metrics in the Era of Electronic Medical Records: Digital Signatures for Ventilator Bundle Compliance
por: Lan, Haitao, et al.
Publicado: (2015) -
Utility of AI models in critical care: union of man and the machine
por: Lal, Amos, et al.
Publicado: (2021)