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International Journal of Reliable and Quality E-Healthcare最新文献

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A Cloud Based Decision Support System Aimed to Contribute in Policy Making for Natural Disaster Related Incidents 基于云的决策支持系统旨在为自然灾害相关事件的决策做出贡献
Q2 Nursing Pub Date : 2019-07-01 DOI: 10.4018/IJRQEH.2019070103
Marilena Tarousi, Michail Sarafidis, P. Katrakazas, Ioannis N. Kouris, Stavros Pitoglou, O. Petropoulou, Athanasios Anastasiou, D. Koutsouris
The main objective of the article is to employ cloud computing technology in order to develop the decision support system of an integrated platform aimed to aid decision makers in natural disaster incidents. This specific platform refers to the most commonly occurred natural disasters in Europe. The decision support system included in the cloud-based platform, is an advanced collection of data processing tools that provides the possibility to export useful conclusions for decision making about the urgent needs of families and children.
本文的主要目的是利用云计算技术开发一个集成平台的决策支持系统,旨在帮助自然灾害事件中的决策者。这个特定的平台指的是欧洲最常见的自然灾害。基于云的平台中包含的决策支持系统是一个先进的数据处理工具集合,可以导出有用的结论,用于决策家庭和儿童的迫切需求。
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引用次数: 1
Application of Failure Modes and Effects Analysis (FMEA) During the Pre-analytical Phase in a Greek Biochemistry Laboratory 失效模式与影响分析(FMEA)在希腊生物化学实验室预分析阶段的应用
Q2 Nursing Pub Date : 2019-07-01 DOI: 10.4018/IJRQEH.2019070102
M. Stamouli, A. Mourtzikou, P. Karkalousos, Z. Athanasiadou, Evaggelia Marasidi, Anastasios Skliris
It is well known that the results from clinical laboratories support diagnosis, prognosis and patient treatment. Thus, test results must be relevant, accurate and reliable for patient care. Despite all the automation, errors that are classified as pre-analytical, analytical and post-analytical, are still present. International bibliographic data estimates that approximately 62.0% of the errors made in clinical laboratories are due to errors during the pre-analytical stage. The effect of the pre-analytical errors on the laboratory results has consequences that in many cases can lead to reduction of laboratory quality. In this study, the authors run a failure modes and effects analysis (FMEA) to analyze potential failure risks within the pre-analytical phase, in order to classify them according to severity and likelihood, based on the experience. In the present article, the authors performed an FMEA analysis of the pre-analytical phase of the testing process of a biochemistry laboratory.
众所周知,临床实验室的结果支持诊断、预后和患者治疗。因此,检测结果必须与患者护理相关、准确和可靠。尽管实现了所有自动化,但分为分析前、分析后和分析后的错误仍然存在。国际书目数据估计,临床实验室中大约62.0%的错误是由于分析前阶段的错误造成的。分析前误差对实验室结果的影响在许多情况下会导致实验室质量下降。在这项研究中,作者进行了故障模式和影响分析(FMEA),以分析预分析阶段的潜在故障风险,从而根据经验根据严重程度和可能性对其进行分类。在本文中,作者对生物化学实验室测试过程的预分析阶段进行了FMEA分析。
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引用次数: 2
ENDORSE Concept 背书概念
Q2 Nursing Pub Date : 2019-07-01 DOI: 10.4018/IJRQEH.2019070104
Panagiotis Vartholomaios, N. Ramdani, C. Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai, A. Panayides, C. Pattichis, Michail Sarafidis, Vassilia Costarides, E. Vellidou, D. Koutsouris
Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.
医院被认为是具有高度商业潜力的物流机器人领域,因此存在少数移动机器人解决方案。然而,它们未能引起市场的广泛接受。ENDORSE系统将追求4个创新支柱:无基础设施的多机器人导航,即在建筑物内最少安装传感器和通信总线,用于机器人、目标和扩展坞的定位;用于解决僵局和在拥挤环境中实现空间资源高效共享的先进HRI;将ENDORSE软件部署为基于云的服务,促进其与企业软件解决方案(如ERP和CRM)的集成,符合GDPR数据安全要求;并且允许可重新配置和模块化的硬件架构,使得可以容易地交换不同的模块。将通过集成用于生命体征监测的电子诊断支持模块来演示ENDORSE功能,促进与基于云的EHR的连接,并在运营医院环境中进行验证,以进行现实评估。
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引用次数: 2
The Veneto Region Experience on Evaluating Integrated Care Using MAST 威尼托地区使用MAST评估综合护理的经验
Q2 Nursing Pub Date : 2019-07-01 DOI: 10.4018/IJRQEH.2019070101
A. Forestiero, S. Mancin, C. Saccavini, Stefano Gris, E. Sampognaro, Francesco Marchet, F. Moretti
This article presents the application of a model for the Assessment of Telemedicine (MAST) for the evaluation of the effectiveness of integrated care services in the management of frail multimorbidity patients in the local health and social authority (LHSA) of Feltre, Italy. The assessment was carried out within the European project CareWell, whose aim was to improve and develop a better coordination among the social and healthcare professionals supporting patient centred delivery of care at home using ICT. The multidisciplinary assessment described in this article takes into account the description of the enrolled patients and the services implementation other than safety aspects, clinical effectiveness, patient perspectives, economic aspects, as well as organizational aspects and socio-cultural, legal and ethical aspects. In particular, the assessment results show that people belonging to the intervention group feel better looked after, professionals feel part of a team and the data sharing could lead to a better coordination and resources saving.
本文介绍了远程医疗评估(MAST)模型的应用,该模型用于评估意大利费尔特雷地方卫生和社会管理局(LHSA)综合护理服务在管理体弱多病患者方面的有效性。该评估是在欧洲CareWell项目中进行的,该项目旨在改善和发展社会和医疗保健专业人员之间的更好协调,支持使用ICT在家中以患者为中心提供护理。本文中描述的多学科评估考虑了对入选患者和服务实施的描述,而不是安全方面、临床有效性、患者观点、经济方面以及组织方面和社会文化、法律和伦理方面。特别是,评估结果表明,属于干预小组的人感觉得到了更好的照顾,专业人员感觉自己是团队的一部分,数据共享可以带来更好的协调和资源节约。
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引用次数: 0
An Artificial Intelligence Approach for the Detection of Cervical Abnormalities 一种检测宫颈异常的人工智能方法
Q2 Nursing Pub Date : 2019-04-01 DOI: 10.4018/IJRQEH.2019040102
Evangelos Salamalekis, A. Pouliakis, N. Margari, C. Kottaridi, A. Spathis, Effrosyni Karakitsou, Alina-Roxani Gouloumi, D. Leventakou, G. Chrelias, G. Valasoulis, M. Nasioutziki, M. Kyrgiou, K. Dinas, I. Panayiotides, E. Paraskevaidis, C. Chrelias
Numerous ancillary techniques detecting HPV DNA or mRNA are viewed as competitors or ancillary techniques to test Papanicolaou. However, no technique is perfect because sensitivity increases at the cost of specificity. Various methods have been applied to resolve this issue by using many examination results, such as classification and regression trees and supervised artificial neural networks. In this article, 1258 cases with results from test Pap, HPV DNA, HPV mRNA, and p16 were used to evaluate the performance of the self-organizing map (SOM). An artificial neural network has three advantages: it is unsupervised, can tolerate missing data, and produces topographical maps. The results of the SOM application were encouraging and produced maps depicting the important tests.
许多检测HPV DNA或mRNA的辅助技术被视为检测巴氏杆菌的竞争对手或辅助技术。然而,没有一种技术是完美的,因为灵敏度的增加是以特异性为代价的。通过使用许多检查结果,已经应用了各种方法来解决这个问题,例如分类和回归树以及监督人工神经网络。在这篇文章中,1258例病例的检测结果来自Pap、HPV DNA、HPV mRNA和p16,用于评估自组织映射(SOM)的性能。人工神经网络有三个优点:它是无监督的,可以容忍丢失的数据,并生成地形图。SOM应用程序的结果令人鼓舞,并生成了描述重要测试的地图。
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引用次数: 6
Digital Health Innovation Ecosystems 数字健康创新生态系统
Q2 Nursing Pub Date : 2019-04-01 DOI: 10.4018/IJRQEH.2019040101
G. Iyawa, M. Herselman, A. Botha
The purpose of this paper was to identify key participants, benefits, and challenges of a digital health innovation ecosystem in Namibia. The paper also aimed to identify strategies for implementing digital health innovation ecosystems in Namibia. This is a qualitative study that adopted semi-structured interviews in meeting the objectives of the study. The findings suggest that implementing digital health innovation ecosystems within the Namibian context will result in better processes of delivering healthcare services to patients. However, implementing such an ecosystem would require resources from both academic and governmental organizations. The need for skilled experts for managing the ecosystem would also be required. Hence, adopting the guidelines for implementing a digital health innovation ecosystem in developing countries, the study proposed guidelines which would make a digital health innovation ecosystem work for the Namibian context. The findings of this study can be used by healthcare managers within the Namibian context.
本文的目的是确定纳米比亚数字健康创新生态系统的主要参与者、好处和挑战。该文件还旨在确定在纳米比亚实施数字健康创新生态系统的战略。这是一项定性研究,采用半结构化访谈来实现研究目标。研究结果表明,在纳米比亚背景下实施数字健康创新生态系统将有助于更好地为患者提供医疗服务。然而,实施这样一个生态系统需要学术组织和政府组织提供资源。还需要管理生态系统的熟练专家。因此,该研究通过了在发展中国家实施数字健康创新生态系统的指导方针,提出了将使数字卫生创新生态系统在纳米比亚背景下发挥作用的指导方针。这项研究的结果可供纳米比亚医疗管理人员使用。
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引用次数: 4
Implementation of the Blue Ocean Strategy in Healthcare 蓝海战略在医疗保健领域的实施
Q2 Nursing Pub Date : 2019-04-01 DOI: 10.4018/IJRQEH.2019040103
A. Mourtzikou, M. Stamouli, D. Emmanouil
The business strategy of “blue ocean” is focused on creating demand through an impressive improvement in value for buyers at an affordable price. There are already many international references regarding the “blue oceans” in the field of health. What technological advances have also offered to the modern healthcare environment is a great variety of management and operational tools from electronic health records to telecare systems. While these technologies have different implementation backgrounds, what they all present as a competitive advantage is a promising era of efficiency and an opportunity to contain medical costs better. These technologies could obviously present a great opportunity in Greece's main organizational problem, the vast fragmentation of healthcare system. So far, many of these technologies have entered as part of the restructuring efforts, including electronic prescription systems and electronic auditing concerning drug reimbursement. What is needed, in order to fully incorporate these tools, is that systems are fully integrated.
“蓝海”的商业战略侧重于通过以可承受的价格大幅提高买家的价值来创造需求。国际上已经有许多关于卫生领域“蓝海”的提法。技术进步也为现代医疗环境提供了从电子健康记录到远程医疗系统的各种管理和操作工具。虽然这些技术有不同的实施背景,但它们都具有竞争优势,这是一个充满希望的高效时代,也是一个更好地控制医疗成本的机会。这些技术显然可以为希腊的主要组织问题——医疗系统的巨大碎片化——提供一个巨大的机会。到目前为止,作为重组工作的一部分,其中许多技术已经进入,包括电子处方系统和药品报销的电子审计。为了充分纳入这些工具,需要的是系统的充分集成。
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引用次数: 0
Patient Involvement in Health Care. Different Terms Same Concept? 患者参与医疗保健。不同的术语相同的概念?
Q2 Nursing Pub Date : 2019-01-01 DOI: 10.4018/IJRQEH.2019010101
A. Xochelli, K. Stamatopoulos, C. Karamanidou
Patient participation in health care is widely considered as crucial for the development of improved health systems and the refined management of chronic conditions. Against this background, however, there are divergent views and contradictions regarding its definition and actual content and scope. Moreover, there is no consensus as to the appropriate interventions, hence assessing their impact remains a challenge. The authors herein comment on the terms that are most commonly used for defining patient involvement in health care and underline the barriers identified in everyday clinical practice that may be responsible for failing to fully materialize its potential impact and/or endorsing it in real life.
人们普遍认为,患者参与卫生保健对于发展改进的卫生系统和改善慢性病的管理至关重要。但在此背景下,对其定义和实际内容、范围存在着分歧和矛盾。此外,对于适当的干预措施没有达成共识,因此评估其影响仍然是一项挑战。作者在此评论了定义患者参与医疗保健的最常用术语,并强调了日常临床实践中确定的障碍,这些障碍可能导致其在现实生活中无法充分实现其潜在影响和/或认可其。
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引用次数: 2
Approaching Empowerment Holistically: are Physicians Willing And Able? 从整体上接近授权:医生愿意并且能够吗?
Q2 Nursing Pub Date : 2019-01-01 DOI: 10.4018/IJRQEH.2019010102
C. Karamanidou, K. Stamatopoulos, A. Xochelli
Patient empowerment is evident nowadays through the increased role undertaken by patients in the evaluation of healthcare, shaping health policy and involvement in clinical research. But are physicians willing and able to empower their patients? The biopsychosocial model offers a holistic approach to care by including the subjective experience of illness into clinical processes. Within this context, effective communication is key as it can contribute towards better clinical outcomes for patients as well as protect physicians from burnout due to emotional exhaustion. Hematological malignancies are the focus of this contribution as their nature and management pose serious challenges for patients to understand and physicians to explain. Physicians can play a pivotal role in encouraging patients' empowerment by educating them about their illness, supporting them in self-management and involving them in their care. Communication skills training, availability of consultation tools and e-health applications can support physicians in their new role.
如今,患者在评估医疗保健、制定卫生政策和参与临床研究方面发挥的作用越来越大,患者赋权显而易见。但是,医生是否愿意并且能够为患者赋权?生物心理社会模型通过将疾病的主观体验纳入临床过程,提供了一种整体的护理方法。在这种情况下,有效的沟通是关键,因为它可以为患者带来更好的临床结果,并保护医生免受因情绪衰竭而产生的倦怠。血液系统恶性肿瘤是这一贡献的焦点,因为它们的性质和管理对患者的理解和医生的解释提出了严峻的挑战。医生可以通过教育患者了解自己的疾病、支持他们自我管理并让他们参与护理,在鼓励患者赋权方面发挥关键作用。沟通技能培训、咨询工具和电子健康应用程序的可用性可以支持医生发挥新的作用。
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引用次数: 1
Personalized Mobile eHealth Services for Secure User Access Through a Multi Feature Biometric Framework 通过多特征生物识别框架为安全用户访问提供个性化移动电子健康服务
Q2 Nursing Pub Date : 2019-01-01 DOI: 10.4018/IJRQEH.2019010104
Georgios C. Manikis, M. Spanakis, Emmanouil G Spanakis
Humans have various features that differentiates one person from another which can be used to identify an individual for security purposes. These biometrics can authenticate or verify a person's identity and can be sorted in two classes, physiological and behavioural. In this article, the authors present their results of experimentation on publicly available facial images and the efficiency of a prototype version of SpeechXRays, a multi-modal biometric system that uses audio-visual characteristics for user authentication in eHealth platforms. Using the privacy and security mechanism provided, based on audio and video biometrics, medical personnel are able to be verified and subsequently identified for two different eHealth applications. These verified persons are then able to access control, identification, workforce management or patient record storage. In this work, the authors argue how a biometric identification system can greatly benefit healthcare, due to the increased accuracy of identification procedures.
人类有各种各样的特征来区分一个人与另一个人,这些特征可以用于识别个人的安全目的。这些生物识别技术可以验证或验证一个人的身份,可以分为两类,生理和行为。在这篇文章中,作者介绍了他们在公开可用的面部图像上的实验结果和语音x射线原型版本的效率,语音x射线是一种多模态生物识别系统,在电子健康平台中使用视听特征进行用户身份验证。利用所提供的基于音频和视频生物识别技术的隐私和安全机制,能够对医务人员进行验证,并随后为两种不同的电子保健应用程序确定身份。然后,这些经过验证的人员能够访问控制、识别、劳动力管理或患者记录存储。在这项工作中,作者认为,由于识别程序的准确性提高,生物识别系统如何极大地有利于医疗保健。
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引用次数: 8
期刊
International Journal of Reliable and Quality E-Healthcare
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