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Medical resource scarcity and inequality in COVID-19 fatality rates : evidence from hospitalized patients in Wuhan, China

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On expert-machine partnership to predict mortality of congestive heart failure patients

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Cognitive workload reduction in hospital information systems

Gartner, Daniel; Zhang, Yiye; Padman, Rema - In: Health care management science 21 (2018) 2, pp. 224-243

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Flexible hospital-wide elective patient scheduling

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Machine learning for healthcare behavioural OR : addressing waiting time perceptions in emergency care

Gartner, Daniel; Padman, Rema - In: Journal of the Operational Research Society 71 (2020) 7, pp. 1087-1101

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A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity

Shehadeh, Karmel S.; Padman, Rema - In: European journal of operational research : EJOR 290 (2021) 3, pp. 901-913

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Reducing clinical workload in the care prescription process : optimization of order sets

Gartner, Daniel; Zhang, Yiye; Padman, Rema - In: IMA journal of management mathematics 30 (2019) 3, pp. 305-321

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Multi-resource allocation and care sequence assignment in patient management : a stochastic programming approach

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Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints : models, challenges, and opportunities

Shehadeh, Karmel S.; Padman, Rema - In: Computers & operations research : and their … 137 (2022), pp. 1-19

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Stochastic Optimization Approaches for Elective Surgery Scheduling with Downstream Capacity Constraints : Models, Challenges, and Opportunities

Shehadeh, Karmel; Padman, Rema - 2022

Elective surgery patients have surgery in the operating room (OR), and then recover in one or more downstream recovery units for several consecutive hours or days after surgery. Upstream scheduling that focuses on OR alone or a resource-constrained scheduling approach that fails to account for...

Persistent link: https://www.econbiz.de/10014094770