Incinur Zellhuber , Melanie Schade , Tim Adams , Manfred Blobner , Michael Weber , Catherina A.B. Bubb
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引用次数: 0
摘要
持续的移动病人监测在医疗保健中发挥着至关重要的作用,尤其是在手术后和诊所的中间护理中。生命体征监测技术的实施使医护人员能够实时了解病人的健康状况,并在必要时及时进行干预,从而有效地对病人进行分流。cosinuss° 技术在捕捉生命体征参数的准确性和可用性方面接受了多项研究评估,强调了它在加强中间护理和提高疗效方面的潜力。本报告概述了 cosinuss° 健康患者监测解决方案在中级术后诊所环境中的设计和实施。报告介绍了最近三次诊所内应用的结果和见解,讨论了技术和实践方面、临床流程以及患者和医疗护理人员的满意度报告。研究结果凸显了 cosinuss° Health 在改善患者监护和整体临床效果方面的巨大潜力。
Transforming in-clinic post-operative and intermediate care with cosinuss°
Continuous, mobile patient monitoring plays a critical role in healthcare, particularly for post-surgery, intermediate care in clinics. The implementation of vital signs monitoring technology enables healthcare professionals to triage patients effectively by maintaining real-time awareness of their health status and allowing for prompt intervention when necessary. This technology supports early mobilization and facilitates the detection of potential complications such as post-surgical sepsis. cosinuss° technology has been evaluated in various studies, in terms of its accuracy in capturing vital parameters and its usability, emphasizing its potential to enhance intermediate patient care and outcomes. This report outlines the design and implementation of cosinuss° Health patient monitoring solution for use in intermediate, postoperative clinic settings. It presents the results and insights from three recent, in-clinic applications, discussing both technical and practical aspects, clinical processes, and the reported satisfaction from both patients and medical caregivers. The findings highlight the promising potential of cosinuss° Health on improving patient monitoring and overall clinical outcomes.
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology