Reducing the Risk of Upcoding in DRG Grouping Through a Two-Stage DRG Grouper Based on Machine Learning
In the implementation of diagnosis-related groups (DRGs), hospitals respond to price changes by incorporating more patients into the more profitable DRGs, thereby providing evidence for upcoding. This study proposes a two-stage DRGs grouper (ML-DRG) to alleviate the risk of upcoding. The ML-DRG empl...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SAGE Publishing
2025-11-01
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| Серія: | Inquiry: The Journal of Health Care Organization, Provision, and Financing |
| Онлайн доступ: | https://doi.org/10.1177/00469580251389813 |
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