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Optimizing Hospital-Wide Patient Scheduling
Daniel Gartner
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Description for Optimizing Hospital-Wide Patient Scheduling
Paperback. Optimizing Hospital-wide Patient Scheduling Series: Lecture Notes in Economics and Mathematical Systems. Num Pages: 119 pages, 22 black & white illustrations, biography. BIC Classification: KJT; MBP; UYQM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 221.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
119
Condition
New
Series
Lecture Notes in Economics and Mathematical Systems
Number of Pages
119
Place of Publication
Cham, Switzerland
ISBN
9783319040653
SKU
V9783319040653
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Daniel Gartner
Daniel Gartner earned his doctoral degree in Operations Management at the TUM School of Management, Technische Universität München, Germany. His research examines optimization problems in health care and machine learning techniques to improve hospital-wide scheduling decisions. Prior to joining TUM he received his university diploma (Master's equivalent) in medical informatics from the University of Heidelberg, Germany, and a M.Sc. in ... Read more
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