Téléchargez le livre : Optimizing Hospital-wide Patient Scheduling

Optimizing Hospital-wide Patient Scheduling

Early Classification of Diagnosis-related Groups Through Machine Learning de

Éditeur :

Springer


Collection :

Lecture Notes in Economics and Mathematical Systems

Paru le : 2015-05-23

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Description
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.
Pages
119 pages
Collection
Lecture Notes in Economics and Mathematical Systems
Parution
2015-05-23
Marque
Springer
EAN papier
9783319040653
EAN PDF
9783319040660
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
2355 Ko
Prix
52,99 €
EAN EPUB
9783319040660
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
1229 Ko
Prix
52,99 €

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