Optimizing Hospital-wide Patient Scheduling Early Classification of
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
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Daniel Gartner
Optimizing Hospitalwide Patient Scheduling Early Classification of Diagnosisrelated Groups Through Machine Learning
Lecture Notes in Economics and Mathematical Systems Founding Editors: M. Beckmann H.P. Künzi Managing Editors: Prof. Dr. G. Fandel Fachbereich Wirtschaftswissenschaften Fernuniversität Hagen Hagen, Germany Prof. Dr. W. Trockel Murat Sertel Institute for Advanced Economic Research Istanbul Bilgi University Istanbul, Turkey and Institut für Mathematische Wirtschaftsforschung (IMW) Universität Bielefeld Bielefeld, Germany Editorial Board: H. Dawid, D. Dimitrov, A. Gerber, C-J. Haake, C. Hofmann, T. Pfeiffer, R. Slowi´nski, W.H.M. Zijm
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Daniel Gartner
Optimizing Hospital-wide Patient Scheduling Early Classification of Diagnosis-related Groups Through Machine Learning
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Daniel Gartner TUM School of Management Technische Universität München München Germany
Dissertation at the Technische Universität München, TUM School of Management, submitted on June 12th, 2013 and accepted on July 15th, 2013
ISSN 0075-8442 ISBN 978-3-319-04065-3 ISBN 978-3-319-04066-0 (eBook) DOI 10.1007/978-3-319-04066-0 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014931786 c Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material
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