- Advanced Queuing Theory Analysis
- Healthcare Operations and Scheduling Optimization
- Healthcare Policy and Management
- COVID-19 epidemiological studies
- Supply Chain and Inventory Management
- COVID-19 impact on air quality
- Emergency and Acute Care Studies
- Scheduling and Optimization Algorithms
- Climate Change and Health Impacts
- Traditional Chinese Medicine Studies
- Rheumatoid Arthritis Research and Therapies
- Global Health Care Issues
- Probability and Risk Models
- COVID-19 Pandemic Impacts
- Advanced Wireless Network Optimization
- Hospital Admissions and Outcomes
- Risk and Portfolio Optimization
- Transportation and Mobility Innovations
- Air Quality and Health Impacts
- Network Traffic and Congestion Control
- Healthcare Systems and Reforms
- Petri Nets in System Modeling
- COVID-19 and Mental Health
- Health Systems, Economic Evaluations, Quality of Life
- Thermoregulation and physiological responses
Technical University of Munich
2020-2024
Heilbronn University
2020-2024
Nanjing University of Posts and Telecommunications
2024
University of Science and Technology of China
2005-2020
Brunel University of London
2020
Chongqing Medical University
2019
The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine
2014
Guangxi University of Chinese Medicine
2014
Tianjin Medical University
2013
Analysis Group (United States)
2012
Despite blockchain's potential to transform corporations by providing new ways of organizing business processes and handling information, extant research pays inadequate attention how under what conditions blockchain technology provides additional financial value for shareholders. Drawing on the efficient market hypothesis signaling theory, we examined relationship between firms' use, development announcements, stock reactions. We used event study methodology analyze a sample projects...
Many real-world optimization problems have input parameters estimated from data whose inherent imprecision can lead to fragile solutions that may impede desired objectives and/or render constraints infeasible. We propose a joint estimation and robustness (JERO) framework mitigate uncertainty in by seamlessly incorporating both the parameter procedure problem. Toward end, we construct an set incorporates all of data, size is based on how well are when using particular procedure: regressions,...
To determine the prevalence of Type 2 diabetes and pre-diabetes their risk factors among overweight or obese school children aged 7-18 years in Tianjin, China.A cross-sectional survey a representative sample overweight/obese adolescents Tianjin was conducted from May to August 2010 using stratified cluster sampling method. A two-step screening, which identify these children, consisted fasting capillary glucose test standard 2-h oral tolerance test. Subjects who had ≥ 5.6 mmol/l were invited...
We study the effects of rescheduling on no-show behavior in an outpatient appointment system for both new and follow-up patients. Previous literature has primarily focused patients investigated role waiting time probability. offer a more nuanced understanding this costly phenomenon. Using comprehensive clinical data, we demonstrate that patients, their probability decreases by 10.9 percentage points if appointments were rescheduled at own request, but increases 6.2 they clinic. New contrast,...
Abstract This article is concerned with a general multi‐class multi‐server priority queueing system customer upgrades. The has various applications in inventory control, call centers operations, and health care management. Through novel design of Lyapunov functions, using matrix‐analytic methods, sufficient conditions for the to be stable or instable are obtained. Bounds on queue length process obtained by sample path method, help an auxiliary system. © 2012 Wiley Periodicals, Inc. Naval...
This paper studies the priority pricing problem for a single‐server queueing system with two classes in which customers have different sensitivities to delay. The makes fixed–delay announcement inform arriving of expected delay each class, whereupon customer must decide class join. Any who joins is charged fixed price. Our examination customers’ joining behavior under any given prices reveals that there can be multiple equilibrium delays and number those depends on structure cost...
Using real data and process flows from two large hospitals (in Singapore in Chengdu, China) as cases, we illustrate how to apply certain modeling optimization techniques, along with simulation a validation tool, hospital resource planning problems. We demonstrate these simple analytical tools can help achieve significant improvements both patient service utilization, without the need increase overall level of existing capacities. Two problems are studied detail, one concerns rebalancing bed...
Abstract Background The outbreak and rapid spread of coronavirus disease 2019 (COVID-19) not only caused an adverse impact on physical health, but also brought about mental health problems among the public. Methods To assess causal COVID-19 psychological changes in China, we constructed a city-level panel data set based expressed sentiment contents 13 million geotagged tweets Sina Weibo, Chinese largest microblog platform. Results Applying difference-in-differences approach, found...
This study proposes a risk-adjusted version of bed occupancy rates (BORs) that can be used for patient admission control and capacity planning in hospitals. Simulations indicate potential increase 11% elective admissions by using the proposed shortage index (BSI) as opposed to traditional BOR. The BSI is also illustrated purposes allocation between departments across acute nonacute
Patient care in many healthcare systems consists of two phases service: assessment (or triage) and treatment. It is sometimes the case that these are carried out by same medical providers. We consider question how to prioritize work providers balance initial delays for with need discharge patients a timely fashion. To address this question, we present multi-server two-stage tandem queueing model hospital emergency department (ED) triage treatment process. assume all first receive service...
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In the emergency department (ED), low-acuity patients divert resources from more critical patients. To facilitate flow, EDs are experimenting with new care models, such as Triage-Treat-and-Release program at Lutheran Medical Center (LMC) ED in New York, where physicians handle both phases of service for Our goal is to determine how should prioritize triage versus treatment balance initial delays timely discharges. Triage and modeled a two-phase stochastic system, may leave without receiving...