Visual analysis of shared medical appointments based on CiteSpace

Objective:Analyze the research hotspots and frontiers of shared outpatient service,and provide a reference for researchers in this field to carry out follow-up research.Methods:Search the Web of Science core collection database until 2022 and visually analyzekeywords in this field through CiteSpace5.8.R3 software,Results:A total of 261 iteratures were included.The research focuses mainly on advanced care planning,diabetes care,andgroup prenatal care,The research trend tends to be telemedicine and nursing provided by specialized nurses.Conclusion:Scholars can learn from the research hotspots of foreign shared medical appointments,pay attention to the research trend,expand its application scope in combination with China's national conditions,and further promote thedevelopment of shared medical appointments in China.

Appointment scheduling with customer impatience based on operating cost model

An appointment scheduling problem is studied with the consideration of customer impatience.On the assumption that both the time of leaving queue and the time of service are exponentially distributed,in order to minimize the joint cost,the optimal appointment schedule of the fixed number of customers is studied.The joint cost function is composed of customers expected delay time and service availability time.The expected delay time of each customer in the queue is recursively computed in terms of customer interarrival time.Furthermore,the effect of impatience on the optimal schedule as well as the total operating cost is studied.The results show that as the impatience rate increases,the optimal interarrival time becomes shorter and the interarrival time of the last few customers gradually approaches that of the customers in the middle.In addition,impatient behaviors can increase the joint cost.

Design and Implementation of Clinic Appointment Registration System

Clinic Appointment Registration System is an important way to see a doctor, and it’s also a preliminary tool for storage and management of clinic medical records. This new system was developed using Visual Studio 2008 and C#.NET as the development environment and tools and Microsoft Access 2003 as the database to store the medical data based on Browse/Server (B/S) model. The system consists of several data operation functions including appointment registration, data management (e.g. addition, deletion and searching), data backup and recovery, etc., thus, achieve key research ob-jectives.

Appointment of Dr. Xue-Long JIANG as the Associate Editor-in-Chief of Zoological Research

We are very pleased to announce that we have invited Dr. Xue-Long JIANG to serve as the Associate Editor-in-Chief for Zoological Research （ZR）, effective from 1 March, 2016. Dr. JIANG, Professor and principle investigator from the Laboratory of Mammal Ecology and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, has worked with ZR since 2006 as a member of the editorial board and has played an active and important role in maintaining ZR as a respected academic publishing platform. Currently, he also works as the Associate Editor-in-Chief of Acta Thefiologica Sinica, Mammal Research and as a senior editorial board member of Biodiversity Science.

Appointment of Dr. Wai-Yee Chan as the Associate Editor-in-Chief of Zoological Research

We are very pleased to announce that we have invited Dr. Wai-Yee Chan, Professor and Director of School of Biomedical Sciences, The Chinese University of Hong Kong, to serve as the Associate Editor- in-Chief for Zoological Research （ZR）, effective 1 September, 2016.

Quantum Algorithm for Appointment Scheduling

Suppose a practical scene that when two or more parties want to schedule anappointment, they need to share their calendars with each other in order to make itpossible. According to the present result the whole communication cost to solve thisproblem should be their calendars’ length by using a classical algorithm. In this work, weinvestigate the appointment schedule issue made by N users and try to accomplish it inquantum information case. Our study shows that the total communication cost will bequadratic times smaller than the conventional case if we apply a quantum algorithm in theappointment-scheduling problem.

The impact of out-of-pocket expenditures on missed appointments at HIV r care and treatment centers in Northern Tanzania

Background:Missed clinic appointments negatively impact clinic patient flow and health outcomes of people living with HIV(PLHIV).PLHIV likelihood of missing clinic appointments is associated with direct and indirect expenditures made while accessing HIV care.The objective of this study was to examine the relationship between out-of-pocket(OOP)health expenditures and the likelihood of missing appointments.Method:Totally 618 PLHIV older than 18 years attending two HIV care and treatment centres(CTC)in Northern Tanzania were enrolled in the study.Clinic attendance and clinical characteristics were abstracted from medical records.Information on OOP health expenditures,demographics,and socio-economic factors were self-reported by the participants.We used a hurdle model.The first part of the hurdle model assessed the marginal effect of a one Tanzanian Shillings(TZS)increase in OOP health expenditure on the probability of having a missed appointment and the second part assessed the probability of having missed appointments for those who had missed an appointment over the study period.Results:Among these 618 participants,242(39%)had at least one missed clinic appointment in the past year.OOP expenditure was not significantly associated with the number of missed clinic appointments.The median amount of OOP paid was 5100 TZS per visit,about 7%of the median monthly income.Participants who were separated from their partners(adjusted odds ratio[AOR]=1.83,95%confidence interval[CZ]:1.11-8.03)and those aged above 50 years(AOR=2.85,95%CI:1.01-8.03)were significantly associated with missing an appointment.For those who had at least one missed appointment over the study period,the probability of missing a clinic appointment was significantly associated with seeking care in a public CTC(P=0.49,95%CI:0.88-0.09)and aged between>25-35 years(P=0.90,95%CI:0.11-1.69).Conclusion:Interventions focused on improving compliance to clinic appointments should target public CTCs,PLHIV aged between>25-35 years,above 50 years of age and those who are separated from their partners.

An Extended Bailey-welch Rule with No-show and Walk-in For Outpatient Appointment Scheduling

In clinic＇s appointment scheduling system no-shows have been a significant and confirmed issue with a bad influence on patient accessibility and clinic efficiency. The problem of walk-in has often been seen as the opposite of no-show problem. In this work we revisit a walk-in admitting based approach to mitigate the bad influence of no-show without overbooking. First we establish a model which utilizes marginal benefit objective function to balance the interests of the clinic, the patient and the doctor, we prove that no-show and walk-in cancels out each other straightly has a bad property. Then we propose a new rule which is an extension of the well-known Bailey - Welch rule, the simulation results show that our rule has an improvement comparing with the common rule that cancels them out straightly.

Machine learning-based prediction models for patients no-show in online outpatient appointments

With the development of information and communication technologies,all public tertiary hospitals in China began to use online outpatient appointment systems.However,the phenomenon of patient no-shows in online outpatient appointments is becoming more serious.The objective of this study is to design a prediction model for patient no-shows,thereby assisting hospitals in making relevant decisions,and reducing the probability of patient no-show behavior.We used 382,004 original online outpatient appointment records,and divided the data set into a training set(N_(1)=286,503),and a validation set(N_(2)=95,501).We used machine learning algorithms such as logistic regression,k-nearest neighbor(KNN),boosting,decision tree(DT),random forest(RF)and bagging to design prediction models for patient no-show in online outpatient appointments.The patient no-show rate of online outpatient appointment was 11.1%(N=42,224).From the validation set,bagging had the highest area under the ROC curve and AUC value,which was 0.990,followed by random forest and boosting models,which were 0.987 and 0.976,respectively.In contrast,compared with the previous prediction models,the area under ROC and AUC values of the logistic regression,decision tree,and k-nearest neighbors were lower at 0.597,0.499 and 0.843,respectively.This study demonstrates the possibility of using data from multiple sources to predict patient no-shows.The prediction model results can provide decision basis for hospitals to reduce medical resource waste,develop effective outpatient appointment policies,and optimize operations.

Reinforcement⁃Learning⁃Based Appointed⁃Time Prescribed Performance Attitude Control for Rigid Spacecraft

This paper addresses a geometric control algorithm for the attitude tracking problem of the rigid spacecraft modeled on SO(3).Considering the topological and geometric properties of SO(3),we introduced a smooth positive attitude error function to convert the attitude tracking issue on SO(3)into the stabilization counterpart on its Lie algebra.The error transformation technique was further utilized to ensure the assigned transient and steady state performance of the attitude tracking error with the aid of a well⁃designed assigned⁃time performance function.Then,using the actor⁃critic(AC)neural architecture,an adaptive reinforcement learning approximator was constructed,in which the actor neural network(NN)was utilized to approximate the unknown nonlinearity online.A critic function was introduced to tune the next phase of the actor neural network operation for performance improvement via supervising the system performance.A rigorous stability analysis was presented to show that the assigned system performance can be achieved.Finally,the effectiveness and feasibility of the constructed control strategy was verified by the numerical simulation.

Making an Appointment

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Keeping an Appointment With Death The Final Contribution of a Woman Doct

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高校“非升即走”制度下教师权益保障困境及破解路径

随着“非升即走”成为我国高等学校教师聘任的主流制度,高校教师的权益保障问题在人事制度改革和相关立法中的重要性和紧迫性日益凸显。结合理论研究和司法实践来看,我国高校教师面临的权益保障困境主要表现为“学术青椒”的尴尬:在“非升即走”聘用合同签订前,高校教师的法律身份模糊;在签订合同时,高校教师的主体性尤其是平等参与权缺失;在履行合同中,高校教师权利救济渠道不畅。这些问题的主要原因在于“学术锦标赛”的异化:高校人事管理的相关法律内容模糊、高校办学自主权边界不清和“非升即走”制度的价值偏离。破解“非升即走”制度下高校教师权益保障的现实困境的关键在于学术生态的优化:国家层面应明确“非升即走”聘用合同是“具有行政要素的劳动合同”的法律属性,重构高校教师“兼具公权与私权性质的特殊劳动者”的法律身份,完善高校教师聘任的相关法律体系;高校层面应重塑“非升即走”的制度价值,充分发挥制度的激励和促进作用,完善“非升即走”制度内容及配套措施,健全教师权益保障机制。

城市大气颗粒物中锑污染研究进展

随着工业化和城市化发展,高强度人类活动及锑化合物的广泛使用使城市大气环境中锑污染日趋严重。进入大气中的锑能长时间驻留并随大气环流进行长距离迁移造成跨区域污染。鉴于锑对人体的潜在毒性及致癌性,城市大气环境锑污染引起学术界和国家相关部门的高度重视,然而目前国内关于大气环境中锑的研究仍处于初期阶段。对城市大气颗粒物中锑的来源、污染特征、源解析等方面进行综述,在此基础上对大气环境中锑污染来源、迁移转化过程研究中的锑同位素应用前景进行展望,为进一步开展城市大气颗粒物锑污染研究、防治和环境管理提供参考。

某三甲肿瘤专科医院年轻干部选拔任用工作实践及探索

为了探索适合高校附属医院年轻干部选拔、培养、考核机制与路径,为年轻干部选拔任用工作提出建议,本研究以某高校附属三级甲等肿瘤专科医院年轻干部选拔任用工作为例,通过文献研究、定性研究和定量研究,分析该专科医院年轻干部选拔任用工作的现状,探索医院选拔任用年轻干部的机制。研究结果显示该医院对年轻干部的选拔、任用和培养工作十分重视,已经建立了系统完备、科学规范、有效管用的年轻干部选拔培养考核制度和机制,以保障医院高质量发展需要,为医院的长远发展提供有力的干部人才支撑。

“监督机制”还是“掏空行为”:超额聘任独立董事与企业环保投资

以2007—2021年沪深A股上市公司为研究对象,深入探究超额聘任独立董事对企业环保投资的影响效应及作用机制。研究发现:超额聘任独立董事对企业环保投资具有显著的促进作用,验证了超额聘任独立董事属于一种“监督机制”;超额聘任独立董事通过抑制管理层短视和大股东掏空行为来促进企业进行环保投资;在重污染行业、两职合一以及独立董事薪酬较低的企业中,超额聘任独立董事对企业环保投资的促进作用更显著。

董事高管责任保险与会计信息质量——基于党组织参与治理的替代或互补效应

以国务院在2020年10月出台的《关于进一步提高上市公司质量的意见》政策为研究契机,选取我国2010—2021年A股上市公司为样本,采用双向固定效应模型,在研究董事高管责任保险对会计信息质量治理作用的基础上,研究党组织参与公司治理是替代还是互补董事高管责任保险发挥这一治理效应,以及剖析其传导效应和企业异质性效应。研究结果表明:董事高管责任保险对企业会计信息质量有治理效应,且“双向进入”式党组织参与治理会提升董事高管责任保险对会计信息质量的治理效应,即存在互补效应;而“交叉任职”式党组织参与治理抑制董事高管责任保险对会计信息质量的治理效应,即替代效应。进一步分析研究表明:董事高管责任保险会通过促进企业创新和提高内部控制质量对会计信息质量发挥治理效应,并在媒体关注度或盈利能力越高的企业中这种治理效应更好。上述研究结果不仅从新视角拓展会计信息质量影响因素的研究,而且丰富董事高管责任保险和党组织参与公司治理的单独及联合治理效果,并为政府、企业等相关利益者在实践中发掘董事高管责任保险的积极作用和提高会计信息质量提供了有益的实践启示。

北京市某大型三甲医院综合治理号贩子实践研究

医疗资源分布不均、优质医疗资源稀缺一直是医疗体系的一大痛点。号贩子问题作为社会治理顽疾,其活动的主战场已悄然从线下转移至隐蔽性更强的线上。北京市某大型三甲医院对打击号贩子进行了积极探索,深入了解患者违规挂号途径后,配合执法部门对号贩子进行了强有力打击。本文通过查阅资料和结合实际工作经验,深入剖析了号贩子屡禁不绝的原因及其违规操作手段。结合实际情况提出综合治理的措施,以期加强院内外多部门合作,共同维护医疗秩序,维护患者权益。

分时段预约胸外科门诊迟到患者特征的回顾性分析

目的分析在分时段预约中四川大学华西医院胸外科门诊患者迟到的特征。方法从四川大学华西医院HIS中提取2019年胸外科患者人口信息及预约就诊信息,共获得有效数据9378例。以正常患者为对照组,采用SPSS 24.0软件对迟到患者进行分析。结果年龄、性别、来源地、就诊类型、就诊时间、预约方式、专家级别、就诊时段是患者迟到的影响因素,差异均有统计学意义(P<0.05)。患者在周一迟到率最高,达到34.6%。每天上午时段的>08:30—09:00迟到率最高,达到78.1%;下午时段的>13:00—13:30迟到率最高,达到65.7%。结论在预约就诊时段内迟到的患者具有一定的特征,需根据相关特征提出解决方案,以提高患者在预约时间段内就诊的依从性。