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  • Search: isPartOf:"Working Paper Series in Health Economics, Management and Policy"
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Year of publication
Subject
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Hospital 5 Switzerland 5 Causal Machine Learning 4 Hospital Operations 4 Intensive Care Unit Management 4 Policy Learning 4 Krankenhaus 3 Krankenhausfinanzierung 3 Schweiz 3 Artificial intelligence 2 Big Data 2 Causality analysis 2 Chronic Obstructive Pulmonary Disease (COPD) 2 Chronisch-obstruktive Lungenerkrankung (COPD) 2 DRG 2 Digital Maturity Model 2 Digital Technologies 2 Germany 2 Gesundheitsversorgung 2 Health care 2 Health literacy 2 Healthcare 2 Hospital Administrative Data 2 Hospital financing 2 Kausalanalyse 2 Knee Replacement 2 Koronare Herzkrankheit (KHK) 2 Krankenhausreform Deutschland 2 Krankenhaustransparenzgesetz 2 KĂĽnstliche Intelligenz 2 Learning organization 2 Learning process 2 Lernende Organisation 2 Lernprozess 2 Low Value Care 2 Patient Journey 2 Patienten 2 Patients 2 Positive and Unlabeled Data 2 Sepsis 2
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Online availability
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Free 23 CC license 11
Type of publication
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Book / Working Paper 23
Type of publication (narrower categories)
All
Working Paper 19 Arbeitspapier 14 Graue Literatur 14 Non-commercial literature 14 Research Report 4
Language
All
English 15 German 8
Author
All
Vogel, Justus 15 Cordier, Johannes 10 Geissler, Alexander 9 Kuklinski, David 7 Bischof, Anja 5 Filipovic, Miodrag 4 Salvi, Irene 3 Subelack, Jonas 3 Lorenz, Max 2 Reinhard, Patrick 2 Spring, Thomas 2
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Institution
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Konsortium DigitalRadar 2
Published in...
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Working paper series in health economics, management and policy 14 Working Paper Series in Health Economics, Management and Policy 9
Source
All
ECONIS (ZBW) 14 EconStor 9
Showing 1 - 10 of 23
Cover Image
Causal Effects and Optimal Policy Learning for Intensive Care Unit Discharge Decisions to Solve Hospital Process Bottlenecks: Approach, Methods, and First Results
Vogel, Justus; Cordier, Johannes; Filipovic, Miodrag - 2025
Intensive care units (ICUs) operate with fixed capacities and face uncertainty such as demand variability, leading to demand-driven, early discharges to free up beds. These discharges can increase readmission rates, negatively impacting patient outcomes and aggravating ICU bottleneck congestion....
Persistent link: https://www.econbiz.de/10015175573
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Cover Image
Causal Effects and Optimal Policy Learning for Intensive Care Unit Discharge Decisions to Solve Hospital Process Bottlenecks: Approach, Methods, and First Results
Vogel, Justus; Cordier, Johannes; Filipovic, Miodrag - 2025
Intensive care units (ICUs) operate with fixed capacities and face uncertainty such as demand variability, leading to demand-driven, early discharges to free up beds. These discharges can increase ICU readmission rates, negatively impacting patient outcomes and aggravating ICU bottleneck...
Persistent link: https://www.econbiz.de/10015337530
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Cover Image
Swiss hospital financing with DRGs: Are there treatments/- combinations that are associated with profitability?
Subelack, Jonas - 2025
Objective: This study aims to investigate whether specific treatments or combinations of treatments are significantly associated with the profitability of Swiss acute-care hospitals under the current diagnosis-related group (S-DRG) reimbursement system, while accounting for differences between...
Persistent link: https://www.econbiz.de/10015406117
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Cover Image
Swiss hospital financing with DRGs : are there treatments/-combinations that are associated with profitability?
Subelack, Jonas - 2025
Objective: This study aims to investigate whether specific treatments or combinations of treatments are significantly associated with the profitability of Swiss acute-care hospitals under the current diagnosis-related group (S-DRG) reimbursement system, while accounting for differences between...
Persistent link: https://www.econbiz.de/10015406346
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Cover Image
Causal effects and optimal policy learning for intensive care unit discharge decisions to solve hospital process bottlenecks : approach, methods, and first results
Vogel, Justus; Cordier, Johannes; Filipovic, Miodrag - 2025
Intensive care units (ICUs) operate with fixed capacities and face uncertainty such as demand variability, leading to demand-driven, early discharges to free up beds. These discharges can increase readmission rates, negatively impacting patient outcomes and aggravating ICU bottleneck congestion....
Persistent link: https://www.econbiz.de/10015183178
Saved in:
Cover Image
Causal effects and optimal policy learning for intensive care unit discharge decisions to solve hospital process bottlenecks : approach, methods, and first results
Vogel, Justus; Cordier, Johannes; Filipovic, Miodrag - 2025
Intensive care units (ICUs) operate with fixed capacities and face uncertainty such as demand variability, leading to demand-driven, early discharges to free up beds. These discharges can increase ICU readmission rates, negatively impacting patient outcomes and aggravating ICU bottleneck...
Persistent link: https://www.econbiz.de/10015386642
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Cover Image
Thesen und Empfehlungen zur Krankenhausreform in Deutschland
Vogel, Justus; Kuklinski, David; Geissler, Alexander - 2024
Die Diskussionen zur Krankenhausreform in Deutschland, die mit den Veröffentlichungen der Regierungskommission Ende 2022 starteten, sind nunmehr durch den eingeläuteten Gesetzgebungsprozess (Krankenhaustransparenzgesetz bzw. Krankenhausversorgungsverbesserungsgesetz) in formale Bahnen gelenkt...
Persistent link: https://www.econbiz.de/10014487356
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Cover Image
Application of positive and unlabeled learning: A novel approach for identifying sepsis cases from hospital administrative data
Vogel, Justus; Cordier, Johannes - 2024
Only positive instances of various events, e.g., secondary diagnoses, are actively labeled in hospital administrative data. In line with this, several studies indicate underreporting of adverse events such as sepsis. The gold standard for relabeling of uncoded sepsis cases, medical record...
Persistent link: https://www.econbiz.de/10014575503
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Cover Image
Thesen und Empfehlungen zur Krankenhausreform in Deutschland
Vogel, Justus; Kuklinski, David; Geissler, Alexander - 2024
Persistent link: https://www.econbiz.de/10014507685
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Cover Image
Application of positive and unlabeled learning : a novel approach for identifying sepsis cases from hospital administrative data
Vogel, Justus; Cordier, Johannes - 2024
Only positive instances of various events, e.g., secondary diagnoses, are actively labeled in hospital administrative data. In line with this, several studies indicate underreporting of adverse events such as sepsis. The gold standard for relabeling of uncoded sepsis cases, medical record...
Persistent link: https://www.econbiz.de/10014575869
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