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 compared...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2017-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2017/9569348 |