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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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Published in: | Biomed Res Int |
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Main Authors: | , , , , , , , |
Format: | Artigo |
Language: | Inglês |
Published: |
Hindawi
2017
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Subjects: | |
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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