Application of Electronic Information Engineering in Hospital Management

To further enhance the overall service quality of China’s hospitals and improve the trust of the majority of patients in hospitals,this paper takes intelligent hospital management as the object of study,analyzes the importance of electronic information engineering technology applied in hospital management,and discusses the specific application methods of electronic information engineering in hospital management.This aims the existing problems in the current hospital management,such as insufficient degree of informatization,data sharing difficulties,lack of professionals,etc.Corresponding improvement measures are proposed,including strengthening the construction of informatization,promoting data sharing,and cultivating professionals.It is hoped that this study will enable the majority of hospital managers to make better use of electronic information engineering technology to effectively solve the current problems faced by hospitals and to continuously improve the comprehensive competitiveness of China’s hospitals.

Evaluation of International Standards of Management of Communication and Information Technology (MCIT) in Khorasan Razavi Hospitals from the Perspective of Managers

The general goal of the management of communication and information technology (MCIT) in the health sector, is to accelerate collecting, achieving and supporting the health system processes, and effective decision-making for managing this system;because preparing and providing health care services for society is very complex, and highly dependent on the information system. The aim of this investigation is to determine the mean scores of the possibility of implementing the MCIT standards in Khorasan Razavi hospitals, from the perspective of managers. This was a cross sectional descriptive-analytic study conducted in two steps in all hospitals. In the first step, the applicability of the standards in hospitals was studied. In the second step, the current status of hospitals was compared with international standards MCIT. In order to determine the validity of the questionnaires, opinions of professors and experts were acquired. Regarding the reliability, the SPSS V. 12 calculated the value of Cronbach’s to be 0.95 for the first questionnaire and 0.86 for the second questionnaire. Data were analyzed using statistic tests of one way ANOVA and t-test. The level of significance was fixed at 0.5. In the 16 hospitals studied, the mean and standard deviation of MCIT were (57.25 ± 13.74). The MCIT standards are applicable in hospitals of Khorasan Razavi according to half (49.4%) of managers;nonetheless, their application requires greater efforts by the hospitals.

The Influence of Spiritual Values on Work Motivation, Management Control, and Quality of Financial Information on IFIs in Indonesia

This study aims to investigate the influence of spiritual values on work motivation, management control, and the quality of financial information on Islamic financial institutions （IFIs） in Indonesia. Spiritual values are measured using four reflexive indicators, namely, Shiddiq, Fathanah, Amanah, and Tabligh. Work motivation is formed by four formative indicators, namely, compensation, recognition, work experience, and openness. Management control variable is formed by four formative indicators, namely, planning, implementing, evaluating, and monitoring, and finally, the quality of financial information is manifested in four reflexive variables, namely, relevant, comparable, understandable, and consistent. Data are collected through questionnaires with 125 respondents as samples from three types of IFIs, such as Islamic banking, Islamic pawnshop, and Islamic insurance in Indonesia. Methods of data analysis include the use of partial least squares （PLS） to analyze the influence of spiritual values on work motivation, management control, and quality of financial information. The results of this study showed that the manifestation of spiritual values in IFIs is able to influence the quality of financial information through the media as motivation and management control, but directly spiritual values are not able to influence the quality of financial information. While work motivation and management control significantly influence the quality of financial information.

Fuzzy logic applied to value of information assessment in oil and gas projects

The concept of value of information(VOI)has been widely used in the oil industry when making decisions on the acquisition of new data sets for the development and operation of oil fields.The classical approach to VOI assumes that the outcome of the data acquisition process produces crisp values,which are uniquely mapped onto one of the deterministic reservoir models representing the subsurface variability.However,subsurface reservoir data are not always crisp;it can also be fuzzy and may correspond to various reservoir models to different degrees.The classical approach to VOI may not,therefore,lead to the best decision with regard to the need to acquire new data.Fuzzy logic,introduced in the 1960 s as an alternative to the classical logic,is able to manage the uncertainty associated with the fuzziness of the data.In this paper,both classical and fuzzy theoretical formulations for VOI are developed and contrasted using inherently vague data.A case study,which is consistent with the future development of an oil reservoir,is used to compare the application of both approaches to the estimation of VOI.The results of the VOI process show that when the fuzzy nature of the data is included in the assessment,the value of the data decreases.In this case study,the results of the assessment using crisp data and fuzzy data change the decision from"acquire"the additional data(in the former)to"do not acquire"the additional data(in the latter).In general,different decisions are reached,depending on whether the fuzzy nature of the data is considered during the evaluation.The implications of these results are significant in a domain such as the oil and gas industry(where investments are huge).This work strongly suggests the need to define the data as crisp or fuzzy for use in VOI,prior to implementing the assessment to select and define the right approach.

Strategic Partnership Between Private Organizations and Universities： The Search for Regional Development Through Solutions for Hospital Management

The public power and the private enterprise, the main agents of national economic and social development, when cooperating strategically, promote increased functional efficiency of their activities. In order to highlight the relevance of such partnership, this article aims to analyze the potential of actions jointly developed by private organizations and Brazilian universities. The research problem is lined in the field of health, which hosted actions developed between the Federal University of Rio Grande do Norte （UFRN） and the Hospital Maternity Guiomar Fernandes （HMGF）, located in the city of Alexandria, in Rio Grande do Norte. The study emphasizes the shortcomings of this organization, the resolving power of the university in this scenario, and performs the analysis of the effects of this cooperation. The methodology used in this research was the case study in HMGF. With emphasis on fundraising and improving the informational management system, funding sources for projects of restructuring and expansion of the hospital were sought, as well as initiatives for developing hospital management softwares for small- and medium-sized organizations. As a result, the articulation between the university and the hospital provided the elaboration of a project for software development and the production of a project for physical restructuring and technological investment, aiming to expand the supply and quality of the hospital＇s services. The implementation of information systems, associated with investments in hospital infrastructure, providing increased efficiency in public assistance to the population, bringing both local and regional benefits, besides, providing the authorities with relevant data on the development of public policies.

An Analysis of the Value of Additional Information Provided by Water Quality Measurement Network

European Community policy concerning water is placing increasing demands on the acquisition of information about the quality of aquatic environments. The cost of this information has led to a reflection on the rationalization of monitoring networks and, therefore, on the economic value of information produced by these networks. The aim of this article is to contribute to this reflection. To do so, we used the Bayesian framework to define the value of additional information in relation to the following three parameters: initial assumptions (prior probabilities) on the states of nature, costs linked to a poor decision (error costs) and accuracy of additional information. We then analyzed the impact of these parameters on this value, particularly the combined role of prior probabilities and error costs that increased or decreased the value of information depending on the initial uncertainty level. We then illustrated the results using a case study of a stream in the Bas-Rhin department in France.

Franchise Value Change Information of State-owned Commercial Bank and Securities Investment Risk

The investment strategy choice of state-owned commercial bank is related to its franchise value change information. This paper analyzes the franchise value change information of state-owned commercial bank. The franchise value change information shows that the franchise value of state-owned Commercial Bank is descending. Along with the descending of the franchise value, state-owned commercial bank strengthens its high risk investment motive when it chooses its investment strategy. State-owned commercial bank tends to run the high risk of investing securities because its investment variety is very sparse. Based on the theoretical principle of how to control securities investment risk, this paper proposes some countermeasures and suggestions that state-owned commercial bank strengthen the control of its securities investment risk in order to perfect its investment strategy.

Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information

New sensing and wireless technologies generate massive data. This paper proposes an efficient Bayesian network to evaluate the slope safety using large-quantity field monitoring information with underlying physical mechanisms. A Bayesian network for a slope involving correlated material properties and dozens of observational points is constructed.

Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran

Natural soil-forming factors such as landforms, parent materials or biota lead to high variability in soil properties. However, there is not enough research quantifying which environmental factor(s) can be the most relevant to predicting soil properties at the catchment scale in semi-arid areas. Thus, this research aims to investigate the ability of multivariate statistical analyses to distinguish which soil properties follow a clear spatial pattern conditioned by specific environmental characteristics in a semi-arid region of Iran. To achieve this goal, we digitized parent materials and landforms by recent orthophotography. Also, we extracted ten topographical attributes and five remote sensing variables from a digital elevation model(DEM) and the Landsat Enhanced Thematic Mapper(ETM), respectively. These factors were contrasted for 334 soil samples(depth of 0–30 cm). Cluster analysis and soil maps reveal that Cluster 1 comprises of limestones, massive limestones and mixed deposits of conglomerates with low soil organic carbon(SOC) and clay contents, and Cluster 2 is composed of soils that originated from quaternary and early quaternary parent materials such as terraces, alluvial fans, lake deposits, and marls or conglomerates that register the highest SOC content and the lowest sand and silt contents. Further, it is confirmed that soils with the highest SOC and clay contents are located in wetlands, lagoons, alluvial fans and piedmonts, while soils with the lowest SOC and clay contents are located in dissected alluvial fans, eroded hills, rock outcrops and steep hills. The results of principal component analysis using the remote sensing data and topographical attributes identify five main components, which explain 73.3% of the total variability of soil properties. Environmental factors such as hillslope morphology and all of the remote sensing variables can largely explain SOC variability, but no significant correlation is found for soil texture and calcium carbonate equivalent contents. Therefore, we conclude that SOC can be considered as the best-predicted soil property in semi-arid regions.

Study on blockchain technology from an information system perspective

Blockchain,as a decentralized platform and distributed ledger technology,will complement and promote the existing centralized system to form a relatively comprehensive ecosystem.A systematic review of blockchain research on information system(IS)disciplines during the five years from 2016 to 2020 selected dozens of papers from 16 leading IS journals.The technological characteristics and implementation models of blockchain are introduced,highlighting and discussing its research status and development in context.Moreover,the future research directions for blockchain in IS are illustrated.It aims to discuss the decentralized and emerging technology of blockchain in its early development stage and to depict the relevant IS issues that are worthy of further investigation.

Best Practices and Innovative Scenarios of Integrated Patient Data Management to Improve Continuity of Care and Scientific Research

Clinical data have strong features of complexity and multi-disciplinarity. Clinical data are generated both from the documentation of physicians＇ interactions with the patient and by diagnostic systems. During the care process, a number of different actors and roles （physicians, specialists, nurses, etc.） have the need to access patient data and document clinical activities in different moments and settings. Thus, data sharing and flexible aggregation based on different users＇ needs have become more and more important for supporting continuity of care at home, at hospitals, at outpatient clinics. In this paper, the authors identify and describe needs and challenges for patient data management at provider level and regional- （or inter-organizational-） level, because nowadays sharing patient data is needed to improve continuity and quality of care. For each level, the authors describe state-of-the-art Information and Communication Technology solutions to collect, manage, aggregate and share patient data. For each level some examples of best practices and solution scenarios being implemented in the Italian Healthcare setting are described as well.

Analysis and Visualization of Marketing, Statistical and Macroeconomic Data With GIS

The most common way to analyze economics data is to use statistics software and spreadsheets.The paper presents opportunities of modern Geographical Information System （GIS） for analysis of marketing, statistical, and macroeconomic data. It considers existing tools and models and their applications in various sectors. The advantage is that the statistical data could be combined with geographic views, maps and also additional data derived from the GIS. As a result, a programming system is developed, using GIS for analysis of marketing, statistical, macroeconomic data, and risk assessment in real time and prevention. The system has been successfully implemented as web-based software application designed for use with a variety of hardware platforms （mobile devices, laptops, and desktop computers）. The software is mainly written in the programming language Python, which offers a better structure and supports for the development of large applications. Optimization of the analysis, visualization of macroeconomic, and statistical data by region for different business research are achieved. The system is designed with Geographical Information System for settlements in their respective countries and regions. Information system integration with external software packages for statistical calculations and analysis is implemented in order to share data analyzing, processing, and forecasting. Technologies and processes for loading data from different sources and tools for data analysis are developed. The successfully developed system allows implementation of qualitative data analysis.

Does International Financial Reporting Standards （IFRS） Adoption Matter？ The Effects on Financial Transparency and Earnings Management

This paper aims to examine whether or not the adoption of fair value accounting （FVA） has an effect on the level of information transparency and the degree of earnings management, to identify whether the legal institutions have powers to explain those effects of the adoption of FVA, and to explore the relationship between the effects of the adoption of FVA and several specific characteristics of the banking industry. By investigating the banking sectors of four Asian countries/regions including China, Hong Kong, the Philippines, and Singapore which have adopted International Financial Reporting Standards （IFRS）, this paper finds that after the application of FVA, the estimated cost of equity of the sampled banks significantly decreases and the relationship between banks＇ loan loss provisions （LLP） and earnings before provisions and tax （EBPT） becomes irrelevant. The evidence supports the effects of FVA adoption on the enhancement of accounting quality. In addition, sound legal/extra-legal systems are closely linked to the degree of accounting quality and still have a strong influence on FVA.

How Do Investors Evaluate Business Continuity Management （BCM） Disclosures in Emergency Situations？ Evidence From the Great East Japan Earthquake

This study examines economic effects of business continuity management （BCM） disclosures through analyzing changes in shareholder returns in the wake of the Great East Japan Earthquake. The author examined differences in the recovery of share price between disclosing and non-disclosing corporations. The results show that the cumulative average abnormal returns （CAARs） of disclosing corporations recovered faster than non-disclosing corporations. Then, the author examined differences in the recovery of share price between developing and non-developing corporations. The results show that there is no statistically significant difference in the recovery of share price between developing and non-developing corporations. Finally, the author examined the differences of BCM between disclosing and non-disclosing corporations. The results suggest that BCM or business continuity plan （BCP） disclosing corporations have a broader coverage of the BCP, more appropriate procedures for responding to emergency situations, more effective training of the BCM, and more mature BCM systems than non-disclosing ones.

Riemann Hypothesis, Catholic Information and Potential of Events with New Techniques for Financial and Other Applications

In this research we are going to define two new concepts: a) “The Potential of Events” (EP) and b) “The Catholic Information” (CI). The term CI derives from the ancient Greek language and declares all the Catholic (general) Logical Propositions () which will true for every element of a set A. We will study the Riemann Hypothesis in two stages: a) By using the EP we will prove that the distribution of events e (even) and o (odd) of Square Free Numbers (SFN) on the axis Ax(N) of naturals is Heads-Tails (H-T) type. b) By using the CI we will explain the way that the distribution of prime numbers can be correlated with the non-trivial zeros of the function ζ(s) of Riemann. The Introduction and the Chapter 2 are necessary for understanding the solution. In the Chapter 3 we will present a simple method of forecasting in many very useful applications (e.g. financial, technological, medical, social, etc) developing a generalization of this new, proven here, theory which we finally apply to the solution of RH. The following Introduction as well the Results with the Discussion at the end shed light about the possibility of the proof of all the above. The article consists of 9 chapters that are numbered by 1, 2, …, 9.

医院信息管理面临的问题和应对策略

医院信息管理工作通过对信息系统及其应用的合理化控制和协调,提高信息利用效率。随着科学技术的发展、社会环境的变迁、人们思想观念的进步,不同发展时期的医院信息管理模式和特点不同。医院信息管理工作需要从整体规划、项目实施管理、团队建设等方面着手,及时优化调整相关制度、管理模式和管理岗位,使其与医院业务发展、管理模式保持一致。

医院统计工作信息化建设研究

目的:分析医院统计工作信息化建设情况。方法:分析医院统计工作概念、问题,提出问题解决措施,明确解决措施应用效果。结果:医院统计工作信息化建设中存在系统平台实用性不强、未能统筹信息资源开发等问题。针对上述问题通过加强医院统计工作信息化系统平台建设、改进医院管理模式进行处理。措施实施后发现医院管理规范化程度、标准化程度、医院管理效率均得到提高,实现了病案资料的科学管理。结论:医院统计工作信息化建设中还存在一些问题,需采取针对性处理措施,积极应用云计算等信息技术,提高医院整体管理水平,推动医院长远发展。

档案信息化建设在医院档案管理中的价值及地位

医院档案管理是医院开展各项工作的信息支撑,面对新时代下的信息技术发展和医疗卫生事业的现代化和科学化推进,针对医院档案管理进行信息化建设成为向着现代化和智能化迈进的重要一步。文章的目的在于深入探讨医院档案信息化建设的实际应用情况,分析其在提升医疗管理效率和医疗服务质量方面的价值,讨论信息化建设在当前医疗体系中的地位及其未来发展方向。文章从医院档案信息化建设的现状入手进行分析探讨,并以此分析其在医院档案管理中的价值及其地位,并以其在信息化建设所面临的主要挑战为基础,预测医院档案信息化的发展前景,指出未来医院信息化的主要发展方向和策略,以推动医院信息化建设的进一步深化和优化,从而更好地服务于提升全球医疗服务的效率和质量。

信息化平台医院检验科危急值管理制度的建立及应用

目的统计分析利用信息化平台构建医院检验科室危机值管理机制以及运用效果。方法利用文献分析方法、问卷调查方法等,选取2022年1—12月荔浦市人民医院收治的危重症患者1053例作为研究主体,明确医学检验科室危急值项目以及运用范围,通过检验科室信息系统与医院信息系统收集医学检验科室危急值相关数据,实现危急值信息化管控,对信息化平台医院检验科室实施危急值管理机制前后的应用效果进行对比观察。结果实施后,危急值报告及时率(100%)与危急值处理时效性(86.46%)相较于实施前(79.96%、51.12%)明显偏高,差异有统计学意义(P<0.05)。实施后,危急重症抢救成功率为97.05%(1022/1053),相较于实施前90.88%(957/1053),差异有统计学意义(P<0.05)。实施后总满意度为99.71%,高于实施前的91.46%,差异有统计学意义(P<0.05)。结论利用信息平台在医院检验科室创建危急值管理机制,使危急值管理工作积极展开,有助于强化临床医师对危急重症患者的抢救成功率。

医院信息管理系统对改善医患关系的影响

医院信息管理系统在改善医患关系方面发挥着重要作用。本文分析了该系统对医患关系的影响,主要包括:优化就医流程,提高患者满意度;加强医患沟通,增进相互理解;降低医疗风险,提升医疗质量;提高服务透明度,减少误解纠纷。研究发现,医院信息管理系统通过整合医疗资源,实现患者信息数字化管理,简化就医流程,提供便捷沟通渠道,有效改善了医患关系,提高了医疗服务质量和患者满意度。