Cargando…
Data Analytics and Modeling for Appointment No-show in Community Health Centers
Objectives: Using predictive modeling techniques, we developed and compared appointment no-show prediction models to better understand appointment adherence in underserved populations. Methods and Materials: We collected electronic health record (EHR) data and appointment data including patient, pro...
Autores principales: | Mohammadi, Iman, Wu, Huanmei, Turkcan, Ayten, Toscos, Tammy, Doebbeling, Bradley N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243417/ https://www.ncbi.nlm.nih.gov/pubmed/30451063 http://dx.doi.org/10.1177/2150132718811692 |
Ejemplares similares
-
Identifying Successful Practices to Overcome Access to Care Challenges in Community Health Centers: A “Positive Deviance” Approach
por: Toscos, Tammy, et al.
Publicado: (2018) -
No-shows to primary care appointments: subsequent acute care utilization among diabetic patients
por: Nuti, Lynn A, et al.
Publicado: (2012) -
The impact of interventions on appointment and clinical outcomes for individuals with diabetes: a systematic review
por: Nuti, Lynn, et al.
Publicado: (2015) -
Data Integration and Interoperability for Patient-Centered Remote Monitoring of Cardiovascular Implantable Electronic Devices
por: Daley, Carly, et al.
Publicado: (2019) -
Predicting no-shows for dental appointments
por: Alabdulkarim, Yazeed, et al.
Publicado: (2022)