Optimizing Hospital-wide Patient Scheduling

优化全院病人调度:通过机器学习的诊断相关小组早期分类

数量经济学

原   价:
553.00
售   价:
442.00
优惠
平台大促 低至8折优惠
作      者
出版时间
2015年06月15日
装      帧
平装
ISBN
9783319040653
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页      码
119
语      种
英语
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图书简介
Diagnosis-related groups (DRGs) are used in hospitals for the reimbursement of inpatient services. The assignment of a patient to a DRG can be distinguished into billing- and operations-driven DRG classification. The topic of this monograph is operations-driven DRG classification, in which DRGs of inpatients are employed to improve contribution margin-based patient scheduling decisions. In the first part, attribute selection and classification techniques are evaluated in order to increase early DRG classification accuracy. Employing mathematical programming, the hospital-wide flow of elective patients is modelled taking into account DRGs, clinical pathways and scarce hospital resources. The results of the early DRG classification part reveal that a small set of attributes is sufficient in order to substantially improve DRG classification accuracy as compared to the current approach of many hospitals. Moreover, the results of the patient scheduling part reveal that the contribution margin can be increased as compared to current practice.
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