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~isPartOf:"Health care management science"
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Hospital
202
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107
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75
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72
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72
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Schreyögg, Jonas
10
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9
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8
Utley, Martin
8
Brunner, Jens O.
7
Gallivan, Steve
7
Kuntz, Ludwig
7
Stefos, Theodore
7
Vasilakis, Christos
7
Xie, Xiaolan
6
Augusto, Vincent
5
Diana, Mark L.
5
Hurink, Johann L.
5
Ivy, Julie Simmons
5
Li, Jingshan
5
Pagel, Christina
5
Puterman, Martin L.
5
Albert, Laura A.
4
Anderson, David
4
Aylin, Paul
4
Bottle, Alex
4
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4
Carey, Kathleen
4
Carter, Michael W.
4
Denton, Brian T.
4
Fügener, Andreas
4
Golden, Bruce
4
Hans, Erwin W.
4
Ieva, Francesca
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Keskinocak, Pinar
4
Lehner, Laura
4
Menachemi, Nir
4
Moran, Eileen
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Ozcan, Yasar A.
4
Paganoni, Anna Maria
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Patrick, Jonathan
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IMA Conference on Quantitative Modelling in the Management of Health and Social Care <8., 2016, London>
1
International Conference on Quantitative Modelling in the Management of Health and Social Care <7., 2013, London>
1
Published in...
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Health care management science
Health Care Management Science
343
Health care management science : a new journal serving the international health care management community
165
Yin, X. and Büyüktahtakιn, I. E., 2021. A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations. Health Care Management Science, pp. 1-58
1
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ECONIS (ZBW)
423
OLC EcoSci
75
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1
Nurses' work with interruptions : an objective model for testing interventions
Myers, Robert A.
;
Parikh, Pratik J.
- In:
Health care management science
22
(
2019
)
1
,
pp. 1-15
Persistent link: https://www.econbiz.de/10011993954
Saved in:
2
Queueing theoretic analysis of labor and delivery
Gombolay, Matthew
;
Golen, Toni
;
Shah, Neel
;
Shah, Julie
- In:
Health care management science
22
(
2019
)
1
,
pp. 16-33
Persistent link: https://www.econbiz.de/10011993958
Saved in:
3
Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities : an application in evaluating treatment decisions for type 2 diabetes
Zhang, Yuanhui
;
Wu, Haipeng
;
Denton, Brian T.
;
Wilson, …
- In:
Health care management science
22
(
2019
)
1
,
pp. 34-52
Persistent link: https://www.econbiz.de/10011993984
Saved in:
4
Stochastic integer programming for multi-disciplinary outpatient clinic planning
Leeftink, A. G.
;
Vliegen, I. M. H.
;
Hans, E. W.
- In:
Health care management science
22
(
2019
)
1
,
pp. 53-67
Persistent link: https://www.econbiz.de/10011993985
Saved in:
5
An optimization model to determine appointment scheduling window for an outpatient clinic with patient no-shows
Luo, Li
;
Zhou, Ying
;
Han, Bernard T.
;
Li, Jialing
- In:
Health care management science
22
(
2019
)
1
,
pp. 68-84
Persistent link: https://www.econbiz.de/10011994049
Saved in:
6
Classification of hospital admissions into emergency and elective care : a machine learning approach
Krämer, Jonas
;
Schreyögg, Jonas
;
Busse, Reinhard
- In:
Health care management science
22
(
2019
)
1
,
pp. 85-105
Persistent link: https://www.econbiz.de/10011994052
Saved in:
7
Service quality benchmarking via a novel approach based on fuzzy ELECTRE III and IPA : an empirical case involving the Italian public healthcare context
La Fata, Concetta Manuela
;
Lupo, Toni
;
Piazza, Tommaso
- In:
Health care management science
22
(
2019
)
1
,
pp. 106-120
Persistent link: https://www.econbiz.de/10011994057
Saved in:
8
Reducing COPD readmissions through predictive modeling and incentive-based interventions
Zhong, Xiang
;
Lee, Sujee
;
Zhao, Cong
;
Lee, Hyo Kyung
; …
- In:
Health care management science
22
(
2019
)
1
,
pp. 121-139
Persistent link: https://www.econbiz.de/10011994065
Saved in:
9
Dynamically accepting and scheduling patients for home healthcare
Demirbilek, Mustafa
;
Branke, Juergen
;
Strauss, Arne
- In:
Health care management science
22
(
2019
)
1
,
pp. 140-155
Persistent link: https://www.econbiz.de/10011994069
Saved in:
10
Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity
Chen, Suiyao
;
Kong, Nan
;
Sun, Xuxue
;
Meng, Hongdao
;
Li, …
- In:
Health care management science
22
(
2019
)
1
,
pp. 156-179
Persistent link: https://www.econbiz.de/10011994082
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