Prediction of hospital no-show appointments through artificial intelligence algorithms

BACKGROUND: No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremendous impact, improving efficiency, reducing costs a...

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Detalles Bibliográficos
Autores principales: AlMuhaideb, Sarab, Alswailem, Osama, Alsubaie, Nayef, Ferwana, Ibtihal, Alnajem, Afnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: King Faisal Specialist Hospital and Research Centre 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894458/
https://www.ncbi.nlm.nih.gov/pubmed/31804138
http://dx.doi.org/10.5144/0256-4947.2019.373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894458/
https://www.ncbi.nlm.nih.gov/pubmed/31804138
http://dx.doi.org/10.5144/0256-4947.2019.373

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