Designing risk prediction models for ambulatory no-shows across different specialties and clinics

OBJECTIVE: As available data increases, so does the opportunity to develop risk scores on more refined patient populations. In this paper we assessed the ability to derive a risk score for a patient no-showing to a clinic visit. METHODS: Using data from 2 264 235 outpatient appointments we assessed...

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Detalles Bibliográficos
Autores principales: Ding, Xiruo, Gellad, Ziad F, Mather, Chad, Barth, Pamela, Poon, Eric G, Newman, Mark, Goldstein, Benjamin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077778/
https://www.ncbi.nlm.nih.gov/pubmed/29444283
http://dx.doi.org/10.1093/jamia/ocy002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077778/
https://www.ncbi.nlm.nih.gov/pubmed/29444283
http://dx.doi.org/10.1093/jamia/ocy002

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