Identifying High-Cost, High-Risk Patients Using Administrative Databases in Tuscany, Italy

OBJECTIVE: (1) Assessing the performance of the algorithm in terms of sensitivity and positive predictive value, considering General Practitioners' (GPs) judgement as benchmark, and (2) describing adverse events (hospitalisation, death, and health services' consumption) of complex patients...

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Detalhes bibliográficos
Publicado no:Biomed Res Int
Main Authors: Bellini, Irene, Barletta, Valentina, Profili, Francesco, Bussotti, Alessandro, Severi, Irene, Isoldi, Maddalena, Bimbi, Maria, Francesconi, Paolo
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2017
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5523251/
https://ncbi.nlm.nih.gov/pubmed/28770229
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/9569348
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