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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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Bibliographic Details
Published in:Biomed Res Int
Main Authors: Bellini, Irene, Barletta, Valentina, Profili, Francesco, Bussotti, Alessandro, Severi, Irene, Isoldi, Maddalena, Bimbi, Maria, Francesconi, Paolo
Format: Artigo
Language:Inglês
Published: Hindawi 2017
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Online Access: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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