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  • Search: subject:"Intensive care unit"
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Year of publication
Subject
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Hospital 7 Krankenhaus 7 Intensive care unit 6 Theorie 5 Theory 5 Causal Machine Learning 4 Hospital Operations 4 Intensive Care Unit Management 4 Policy Learning 4 Artificial intelligence 3 Admission and discharge decisions 2 COVID-19 2 Causality analysis 2 Dynamic programming 2 Gesundheitsversorgung 2 Health care 2 Health care cost 2 Inpatient 2 Kausalanalyse 2 Künstliche Intelligenz 2 Learning organization 2 Learning process 2 Length of stay 2 Lernende Organisation 2 Lernprozess 2 Markov decision process 2 Operations research 2 Patienten 2 Patients 2 SARS-COV-2 2 Severity of the disease 2 intensive care unit 2 AI 1 Analysis of cost-effectiveness 1 Capacity planning 1 Challenges 1 Clinical decision-making 1 Coronavirus 1 Crew scheduling 1 Dauer 1
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Online availability
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Free 15 CC license 6
Type of publication
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Article 8 Book / Working Paper 7
Type of publication (narrower categories)
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Working Paper 5 Article in journal 4 Aufsatz in Zeitschrift 4 Arbeitspapier 3 Article 3 Graue Literatur 3 Non-commercial literature 3 research-article 1
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Language
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English 13 Undetermined 2
Author
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Cordier, Johannes 4 Filipovic, Miodrag 4 Vogel, Justus 4 Brunner, Jens O. 3 Bai, Jie 2 Blobner, Manfred 2 Fügener, Andreas 2 Gonen, Mustafa Sait 2 Gönsch, Jochen 2 Keskindemirci, Yilmaz 2 Kutlubay, Zekayi 2 Malhan, Simten 2 Oksuz, Ergun 2 Tabak, Fehmi 2 Alban, Andres 1 Becker, Bas 1 Chick, Stephen E. 1 Cuthbertson, Brian H. 1 Falavigna, Greta 1 Flin, Rhona 1 Fourati, Zeineb 1 Goudarzi, Reza 1 Heidarzadeh, Mohammad 1 Hoyer, Patrizia 1 Ippoliti, Roberto 1 Kamoun, Hichem 1 Koperna, Thomas 1 Lomolino, Grazia 1 Lvova, Oleksandra 1 Nekoei-Moghadam, Mahmood 1 Nkangu, Miriam 1 Ostad-Ahmadi, Zakieh 1 Reader, Tom W. 1 Schiele, Julian 1 Sent, Danielle 1 Smaoui, Soulef 1 Yazdi-Feyzabadi, Vahid 1
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Institution
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Istituto di Ricerca sulla Crescita Economica Sostenibile (IRCrES), Consiglio Nazionale delle Ricerche 1 London School of Economics (LSE) 1
Published in...
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Working Paper Series in Health Economics, Management and Policy 2 Working paper series in health economics, management and policy 2 CERIS Working Paper 1 Decision analytics journal 1 Faculty & research / Insead : working paper series 1 Health Care Management Science 1 Health Economics Review 1 Health care management science : a new journal serving the international health care management community 1 Health economics review 1 Journal of Organizational Ethnography 1 LSE Research Online Documents on Economics 1 Naval Research Logistics (NRL) 1
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Source
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ECONIS (ZBW) 7 EconStor 5 RePEc 2 Other ZBW resources 1
Showing 1 - 10 of 15
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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
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 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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The anatomy of clinical decision-making: aligning AI design with ICU routines
Becker, Bas; Hoyer, Patrizia - In: Journal of Organizational Ethnography 13 (2024) 3, pp. 427-451
by studying the implementation of a DSS in the intensive care unit (ICU) of a large academic hospital. Design …
Persistent link: https://www.econbiz.de/10015351974
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Fragmentation of payment systems : an in-depth qualitative study of stakeholders' experiences with the neonatal intensive care payment system in Iran
Ostad-Ahmadi, Zakieh; Nkangu, Miriam; Nekoei-Moghadam, … - 2024
Background Iran's fee-for-service (FFS) payment model in neonatal intensive care units (NICUs) is contentious due to the involvement of multiple stakeholders with differing interests, leading to increased costs, fragmentation, and reduced quality of care. This study explores the experiences and...
Persistent link: https://www.econbiz.de/10015371731
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An integrated Lexicographic goal programming and dynamic satisfaction function model for effective nurse scheduling
Fourati, Zeineb; Smaoui, Soulef; Kamoun, Hichem - In: Decision analytics journal 9 (2023), pp. 1-11
intensive care unit to demonstrate the effectiveness of our approach compared to the conventional goal programming method. …
Persistent link: https://www.econbiz.de/10014533153
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COVID-19 healthcare cost and length of hospital stay in Turkey: Retrospective analysis from the first peak of the pandemic
Oksuz, Ergun; Malhan, Simten; Gonen, Mustafa Sait; … - In: Health Economics Review 11 (2021) 1, pp. 1-12
Background: During the COVID-19 pandemic, health care systems are under extreme pressure. This study analyzed health care resource use (HCRU) and costs in patients admitted to the hospital for COVID-19 and aimed to estimate the one-year direct medical cost of the disease in Turkey. Methods: This...
Persistent link: https://www.econbiz.de/10014489896
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Managing admission and discharge processes in intensive care units
Bai, Jie; Fügener, Andreas; Gönsch, Jochen; Brunner, … - In: Health Care Management Science 24 (2021) 4, pp. 666-685
The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high …
Persistent link: https://www.econbiz.de/10014502033
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Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks
Schiele, Julian; Koperna, Thomas; Brunner, Jens O. - In: Naval Research Logistics (NRL) 68 (2021) 1, pp. 65-88
based on machine learning. Our three-step approach focuses on the intensive care unit (ICU) and reflects elective and urgent …
Persistent link: https://www.econbiz.de/10012428783
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