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International Journal of Healthcare Technology and Management最新文献

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The efficiency of healthcare spending in lower-middle-income countries: an empirical investigation using a two-stage data envelopment analysis approach 中低收入国家医疗保健支出的效率:使用两阶段数据包络分析方法的实证调查
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2021-01-01 DOI: 10.1504/IJHTM.2021.10040926
Israa A. El Husseiny
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引用次数: 2
Investigation of ECG signal suitability for key generation to secure body area sensor networks 心电信号对人体区域传感器网络密钥生成的适用性研究
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2021-01-01 DOI: 10.1504/ijhtm.2021.10039951
R. Rekha
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引用次数: 0
A qualitative analysis of Lean implementation in Brazilian surgical centres: a multiple-case study 巴西外科中心精益实施的定性分析:一项多案例研究
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2021-01-01 DOI: 10.1504/ijhtm.2021.10039452
M. M. Pereira, P. R. Sousa, Aloísio Rosado Filho, G. Tontini, M. Barbosa
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引用次数: 1
Vitality and well-being in nurses 护士的活力和幸福
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2021.10037608
Jonathan Muterera, J. Overall, Treva Reed, L. Peachey, Anahita Baregheh, Jessica Fuentes Plough, D. Hemsworth, Alireza Khorakian
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引用次数: 1
Application of variational mode decomposition in automated migraine disease diagnosis 变分模态分解在偏头痛自动诊断中的应用
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2020.10039893
A. Dube, J. Gupta, K. Jindal, A. Sharma, K. Gupta, M. Vijay, Rishi Upadhyay
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引用次数: 0
Application of variational mode decomposition in automated migraine disease diagnosis 变分模态分解在偏头痛自动诊断中的应用
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2020.116763
K. Jindal, R. Upadhyay, M. Vijay, A. Sharma, K. Gupta, J. Gupta, A. Dube
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引用次数: 0
Implementation of lean practices to reduce healthcare associated infections 实施精益实践以减少医疗保健相关感染
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2020.10039887
Anna Ferraro, Piera Centobelli, R. Cerchione, M. D. Cicco, E. Montella, E. Raiola, M. Triassi, G. Improta
In this paper, Lean and Six Sigma (LSS) methodologies have been used to define, measure, analyse, improve, and control the occurrence of healthcare-associated infections affecting patients' safety ...
在本文中,精益和六西格玛(LSS)的方法已经被用来定义,测量,分析,改善和控制医疗相关感染的发生,影响患者的安全。
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引用次数: 19
Advanced brain imaging based on game theory for an automated Alzheimer diagnosis 基于博弈论的老年痴呆症自动诊断的高级脑成像
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2020.116801
Hanane Allioui, Mohamed Sadgal, Aziz Elfazziki
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引用次数: 0
Avoidable deaths in Britain's National Health Service - a systems-thinking informed analysis using data garnered from government agencies, representative bodies, private canvassing and public inquiries 英国国家医疗服务体系中可避免的死亡——一种系统思考的知情分析,使用从政府机构、代表机构、私人拉票和公众询问中收集的数据
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2020.116787
S. Bennett
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引用次数: 0
Quest for dexterous prospects in AI regulated arena: opportunities and challenges in healthcare 在人工智能监管领域寻求灵巧的前景:医疗保健领域的机遇和挑战
IF 1 Q4 HEALTH CARE SCIENCES & SERVICES Pub Date : 2020-01-01 DOI: 10.1504/ijhtm.2020.10039888
R. Garg, Deepak Chhabra, Dinesh Yadav, Shagun Adlakha
Artificial intelligence (AI) in healthcare is a state of the art for clinical and non-clinical interventions. Its prospects have enhanced the concept of care with great emphasis on holistic health management, starting from clinical research, patient engagement to drug development and delivery. Indigenous smart techniques have been formulated using AI to understand the diseases in more dynamic and comprehensive ways. Therefore, in this work, the attributes of AI used in designing healthcare based computation tools are discussed. Micro and nano devices employed in point of care diagnosis and remote care using AI are reviewed. However, there are specific challenges of ethics and privacy which are listed comprehensively in the present work. The objective of this work is to examine and access the opportunities of AI in healthcare, including challenges and potential applications. Also, it is concluded that more research work will be needed for the prospective accomplishment of this approach.
医疗保健中的人工智能(AI)是临床和非临床干预的最新技术。它的前景增强了护理的概念,强调从临床研究、患者参与到药物开发和交付的整体健康管理。利用人工智能制定了本土智能技术,以更动态和全面的方式了解疾病。因此,在这项工作中,人工智能的属性用于设计基于医疗保健的计算工具进行了讨论。综述了人工智能在护理点诊断和远程护理中使用的微纳米设备。然而,在本工作中全面列出了道德和隐私方面的具体挑战。这项工作的目标是研究和利用人工智能在医疗保健领域的机会,包括挑战和潜在应用。此外,还需要进一步的研究工作来实现这一方法。
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引用次数: 0
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International Journal of Healthcare Technology and Management
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