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Titlebook: Optimizing Hospital-wide Patient Scheduling; Early Classification Daniel Gartner Book 2014 Springer International Publishing Switzerland 20

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发表于 2025-3-21 17:04:33 | 显示全部楼层 |阅读模式
书目名称Optimizing Hospital-wide Patient Scheduling
副标题Early Classification
编辑Daniel Gartner
视频video
概述Introduces and evaluates a thorough examination of attribute selection techniques and classification approaches for early diagnosis-related group (DRG) classification.Formulates two hospital-wide pati
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Optimizing Hospital-wide Patient Scheduling; Early Classification Daniel Gartner Book 2014 Springer International Publishing Switzerland 20
描述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.
出版日期Book 2014
关键词DRG Classification; Diagnosis-related groups; Hospital management; Machine learning; Patient scheduling
版次1
doihttps://doi.org/10.1007/978-3-319-04066-0
isbn_softcover978-3-319-04065-3
isbn_ebook978-3-319-04066-0Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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发表于 2025-3-22 00:01:21 | 显示全部楼层
Book 2014l 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.
发表于 2025-3-22 00:53:02 | 显示全部楼层
EWTON in seinen Untersuchungen zu gröβerer begrifflicher Klarheit durchdrang, so haben sich doch die LEiBNIZschen Bezeichnungen und Rechenmethoden in höherem Grade durchgesetzt als die NEWTONschen; noch heute bilden diese formalen Seiten der LEIBNIZschen Gedankenentwicklung ein unentbehrliches Eleme
发表于 2025-3-22 05:28:41 | 显示全部楼层
Daniel GartnerWeise, wobei die Verzweigungen stets dünner und dünner werden. Schließlich gehen die Arterien in zahlreiche Capillaren über: äußerst feine Röhrchen, die überall das Gewebe mit Blut versorgen. Nachdem sie die Gewebe durchströmt haben, vereinigen sich die Capillaren erst zu dünnen Venen, die mit ander
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发表于 2025-3-22 13:49:43 | 显示全部楼层
Daniel Gartner of terms associated with volcan­ logy or geophysics. To this end we have attempted ology, its processes and products. to create a book simple and general enough to be The atlas is, in a sense, an outgrowth of the useful even at the secondary school level, but with expanding interest in volcanology
发表于 2025-3-22 18:41:08 | 显示全部楼层
d glossary of terms associated with volcan­ logy or geophysics. To this end we have attempted ology, its processes and products. to create a book simple and general enough to be The atlas is, in a sense, an outgrowth of the useful even at the secondary school level, but with expanding interest in volcanology 978-3-642-65152-6978-3-642-65150-2
发表于 2025-3-23 00:39:16 | 显示全部楼层
Lecture Notes in Economics and Mathematical Systemshttp://image.papertrans.cn/o/image/703345.jpg
发表于 2025-3-23 03:00:19 | 显示全部楼层
https://doi.org/10.1007/978-3-319-04066-0DRG Classification; Diagnosis-related groups; Hospital management; Machine learning; Patient scheduling
发表于 2025-3-23 05:36:27 | 显示全部楼层
Experimental Analyses,The structure of this chapter is as follows: In the first section, a thorough analysis of the presented machine learning methods for early DRG classification and its comparison with a DRG grouper is provided. In the second section, a computational and economic analysis of scheduling the hospital-wide patient flow of elective patients is given.
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