Cargando…
Assessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death
OBJECTIVES: Early hospital readmissions or deaths are key healthcare quality measures in pay-for-performance programs. Predictive models could identify patients at higher risk of readmission or death and target interventions. However, existing models usually do not incorporate social determinants of...
Autores principales: | Zhang, Yongkang, Zhang, Yiye, Sholle, Evan, Abedian, Sajjad, Sharko, Marianne, Turchioe, Meghan Reading, Wu, Yiyuan, Ancker, Jessica S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316307/ https://www.ncbi.nlm.nih.gov/pubmed/32584879 http://dx.doi.org/10.1371/journal.pone.0235064 |
Ejemplares similares
-
Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure
por: Beecy, Ashley N., et al.
Publicado: (2020) -
Avoidable 30‐day readmissions in patients undergoing vascular surgery
por: Knighton, A., et al.
Publicado: (2019) -
Incidence of Avoidable 30-Day Readmissions Following Hospitalization for Community-Acquired Pneumonia in France
por: Boussat, Bastien, et al.
Publicado: (2022) -
Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
por: Reading Turchioe, Meghan, et al.
Publicado: (2023) -
Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment
por: Zhang, Yiye, et al.
Publicado: (2020)