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Measuring adverse events following hip arthroplasty surgery using administrative data without relying on ICD-codes
INTRODUCTION: Measure and monitor adverse events (AEs) following hip arthroplasty is challenging. The aim of this study was to create a model for measuring AEs after hip arthroplasty using administrative data, such as length of stay and readmissions, with equal or better precision than an ICD-code b...
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| Publicado no: | PLoS One |
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| Principais autores: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7644076/ https://ncbi.nlm.nih.gov/pubmed/33152055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0242008 |
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