A5100642637- Healthcare Operations and Scheduling Optimization
- Hospital Admissions and Outcomes
- Healthcare Policy and Management
- Advanced Manufacturing and Logistics Optimization
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Global Health Care Issues
- COVID-19 epidemiological studies
- Optimization and Packing Problems
- Scheduling and Timetabling Solutions
- Facility Location and Emergency Management
- Multi-Criteria Decision Making
- Forecasting Techniques and Applications
- Supply Chain and Inventory Management
- Hemodynamic Monitoring and Therapy
- Optimization and Mathematical Programming
- Scheduling and Optimization Algorithms
- Optimization and Search Problems
- Virus-based gene therapy research
- Disaster Response and Management
- Advanced Queuing Theory Analysis
- COVID-19 and Mental Health
- Disaster Management and Resilience
- Insurance and Financial Risk Management
- Healthcare Systems and Reforms
Sichuan University
2016-2025
West China Second University Hospital of Sichuan University
2021-2025
Fudan University
2020-2024
Sun Yat-sen University
2023
West China Hospital of Sichuan University
2021
State Key Laboratory of Biotherapy
2016-2020
University of Massachusetts Chan Medical School
2019
Wenzhou Medical University
2019
Zhejiang Taizhou Hospital
2019
Gene Therapy Laboratory
2019
With the rapid development of “Internet plus”, medical care has entered era big data. However, there is little research on data (MBD) from perspectives bibliometrics and visualization. The substantive basic aspects MBD itself also rare. This study aims to explore current status through visualization analysis journal papers related MBD. We analyze a total 988 references which were downloaded Science Citation Index Expanded Social databases Web time span was defined as “all years”. GraphPad...
Accurate forecasting of hospital outpatient visits is beneficial for the reasonable planning and allocation healthcare resource to meet medical demands. In terms multiple attributes daily visits, such as randomness, cyclicity trend, time series methods, ARIMA, can be a good choice forecasting. On other hand, are also affected by doctors' scheduling effects not pure random. Thinking about impure specialty, this paper presents new model that takes day week effect into consideration. We...
For hospitals where decisions regarding acceptable rates of elective admissions are made in advance based on expected available bed capacity and emergency requests, accurate predictions inpatient especially useful for reservation purposes. As given, the remaining unoccupied beds at end each day, next day can be obtained by examining forecasts number discharged patients during day. The features fluctuations daily discharges like trend, seasonal cycles, special-day effects, autocorrelation...
At present, the recycling rate of End-of-life vehicles (ELVs) in China is far lower than heavily motorized countries, resulting severe environmental pollution, waste resource and hidden traffic troubles, which has a negative impact on China’s economic social sustainable development. With arrival peak season generating ELVs China, it urgent important to improve ELVs. The influenced by multiple factors together. existing research about identification influence ELV fewer considers interaction...
The q-rung orthopair fuzzy set, whose membership function and nonmembership belong to the interval [0,1], is more powerful than both intuitionistic set Pythagorean in expressing imprecise information of decision-makers. aim this paper investigate a method determine priority weights from individual or group preference relations (q-ROFPRs). To do so, firstly, new definition additively consistent q-ROFPR presented based on relation alternatives given by Afterward, according q-ROFPRs, two kinds...
Case cancellation (CC) has significant impact on the efficiency of operating room (OR) management, which can be mitigated by taking preventive measures. In this study, using data West China Hospital (WCH), we identified effect contributing factors and recommended hospital interventions to facilitate CC prevention.We conducted a retrospective review 11,331 elective surgical cases from January 1 December 31, 2014. reasons were grouped into six categories. The methods descriptive statistics...
Recombinant adeno-associated virus (rAAV)-mediated gene delivery can efficiently target muscle tissues to serve as "biofactories" for secreted proteins in prophylactic and therapeutic scenarios. Nevertheless, efficient rAAV-mediated is often limited by host immune responses against the transgene product. The development of strategies prevent anti-transgene immunity therefore crucial. employment endogenous microRNA (miRNA)-mediated regulation detarget expression from antigen presenting cells...
Abstract Background Family doctor contract policy is now run by the State Council as an important move to promote hierarchical medical system. Whether family achieves initial government’s goal should be measured further from perspective of patient visits between hospitals and community health centers, which are regarded grass agencies. Methods The spatial feature measurement method applied with ArcGIS 10.2 software analyze aggregation effect or centers among 20 districts one large city in...
Classified diagnose and treatment (CDT) is a hot research topic in hospital management China. As an essential way to implement CDT, the inpatient admission assessment involves different kinds of vague uncertain information. The hesitant fuzzy linguistic term set provides new technology depict subjective evaluation information experts hospital. In this paper, we apply VIKOR (HFL-VIKOR) method process which all over patients are expressed as sets or expressions. Firstly, index CDT (ICDT)...
Objective The purpose of this study is to develop and validate the scale health education demand patients with HPV infection based on KANO model, so as provide a tool for further exploring types influencing factors infection. Methods This development validation using three-stage cross-sectional design. In stage 1, preliminary item pool formed literature review, semi-structured interviews Delphi method. 2, six experts were invited assess content validity. A survey was conducted 1169...
Background: Over the past decade, demand for accompanying services, which can be provided by both professional nurses and unskilled workers in major general hospitals, escalates significantly. Although provide higher value services to outpatients, their service capacity is limited time-varied, calls optimization of dynamic nurse staffing, an issue rarely addressed literature. Objective: To fill gap, this study proposes a multi-period planning model dynamically managing staffing better...
Many hospitals in China experience large volumes of emergency department (ED) radiology patients, thereby lengthening the wait times for non-emergency patients. We examine whether an reservation policy which deals with stochastic arrivals ED patients can shorten times, and what effect it has on patient hospital related metrics.In this study, operations research models are used to develop policy. First, we construct a discrete event simulation (DES) model based process served by one computed...
The accurate forecast of radiology emergency patient flow is great importance to optimize appointment scheduling decisions. This study used a multi-model approach daily with consideration different sources. We constructed six linear and nonlinear models by considering the lag effects corresponding time factors. autoregressive integrated moving average least absolute shrinkage selection operator (Lasso) were selected from category models, whereas linear-and-radial support vector regression...
Abstract: Cancer chemotherapy can benefit from the combination of different anticancer drugs. Here, we prepared doxorubicin (Dox)- and thioridazine (Thio)-coloaded methoxy poly(ethylene glycol)-poly(L-lactic acid) (MPEG-PLA) nanoparticles (NPs) for breast cancer therapy. These NPs have an average particle size 27 nm. The drug loading efficiencies Thio Dox are 4.71% 1.98%, respectively. Compared to treatment or alone, exhibited a synergistic effect in inhibiting growth 4T1 cells vitro. In...
The tension brought about by sickbeds is a common and intractable issue in public hospitals China due to the large population. Assigning order of hospitalization patients difficult because complex patient information such as disease type, emergency degree, severity. It critical rank taking full account various factors. However, most evaluation criteria for are qualitative, classical ranking method cannot derive detailed relations between based on these criteria. Motivated this, comprehensive...
Large tertiary hospitals usually face long waiting lines; patients who want to receive hospitalization need be screened in advance. The patient admission screening process involves a health-care professional ranking by analyzing registration information.The purpose of this study was develop machine-learning approach screening, using historical data and the experience professionals set rules help prioritize needs automatically.We used five methods sequence predict elective patients: logistic...