Expected length of stay (ELOS) of patients in hospital is an important measure in hospital resource utilization management. Previous work has shown that estimation of ELOS is improved using complexity and age adjustment. These improved estimates have the potential to improve the accuracy of estimate
ASIS in an Age of Complexity
โ Scribed by Debora Shaw
- Publisher
- American Society for Information Science and Technology
- Year
- 2005
- Tongue
- English
- Weight
- 381 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0095-4403
- DOI
- 10.1002/bult.41
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