Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in Singapore

OBJECTIVE: We aim to characterise persistent high utilisers (PHUs) of healthcare services, and correspondingly, transient high utilisers (THUs) and non-high utilisers (non-HUs) for comparison, to facilitate stratifying HUs for targeted intervention. Subsequently we apply machine learning algorithms...

Descripción completa

Detalles Bibliográficos
Autores principales: Ng, Sheryl Hui Xian, Rahman, Nabilah, Ang, Ian Yi Han, Sridharan, Srinath, Ramachandran, Sravan, Wang, Debby Dan, Khoo, Astrid, Tan, Chuen Seng, Feng, Mengling, Toh, Sue-Anne Ee Shiow, Tan, Xin Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Health Services Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955475/
https://www.ncbi.nlm.nih.gov/pubmed/31911514
http://dx.doi.org/10.1136/bmjopen-2019-031622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955475/
https://www.ncbi.nlm.nih.gov/pubmed/31911514
http://dx.doi.org/10.1136/bmjopen-2019-031622

Ejemplares similares