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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...

詳細記述

保存先:
書誌詳細
出版年:Biomed Res Int
主要な著者: Bellini, Irene, Barletta, Valentina, Profili, Francesco, Bussotti, Alessandro, Severi, Irene, Isoldi, Maddalena, Bimbi, Maria, Francesconi, Paolo
フォーマット: Artigo
言語:Inglês
出版事項: Hindawi 2017
主題:
オンライン・アクセス: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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