Successful organizations have the ability to measure and act on key indicators and events in real time. By leveraging the power of virtual instrumentation and open architecture standards, multidimensional executive dashboards can empower health care organizations to make better and faster data-driven decisions. This article will highlight how user-defined virtual instruments and dashboards can connect to hospital information systems (e.g., admissions/discharge/transfer systems, patient monitoring networks) and use statistical process control to "visualize" information and make timely, data-driven decisions. The case studies described will illustrate enterprisewide solutions for: bed management and census control, operational management, data mining and business intelligence applications, and clinical applications (physiological data acquisition and wound measurement and analysis).
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http://dx.doi.org/10.1097/00006216-200301000-00010 | DOI Listing |
Sensors (Basel)
December 2024
School of Engineering, RMIT University, 124 La Trobe Street, Melbourne, VIC 3000, Australia.
Civil infrastructure assets' contribution to countries' economic growth is significantly increasing due to the rapid population growth and demands for public services. These civil infrastructures, including roads, bridges, railways, tunnels, dams, residential complexes, and commercial buildings, experience significant deterioration from the surrounding harsh environment. Traditional methods of visual inspection and non-destructive tests are generally undertaken to monitor and evaluate the structural health of the infrastructure.
View Article and Find Full Text PDFACS Omega
December 2024
China University of Petroleum-Beijing, Changping, Beijing 102249, China.
One of the key points in the construction of smart oil and gas fields is the effective utilization of data. Virtual Flow Metering (VFM), as one of the representative research directions for digital transformation, can obtain real-time production from oil and gas wells without the need for additional field instrumentation, utilizing pressure and temperature data obtained from sensors and employing multiphase flow mechanism models. The data-driven VFM demonstrates a commendable capacity in capturing the nonlinear relationship between sensor data and flow rates, while circumventing the necessity for rigorous analysis of the underlying mechanistic processes.
View Article and Find Full Text PDFBMC Musculoskelet Disord
December 2024
Department of Anatomy, Guangdong Provincial Key Laboratory of Digital Medicine and Biomechanics, Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, National Virtual & Reality Experimental Education Center for Medical Morphology, School of Basic Medical Sciences, Southern Medical University, No.1023, South Shatai Road, Baiyun District, Guangzhou, Guangdong, 510515, China.
Background: This study investigated the impact of higher interfragmentary compression force (IFCF) on the stability of locking plate fixation in lateral tibial plateau fractures.
Methods: Biomechanical experiments and finite element analysis (FEA) were employed to compare the performance of the AO cancellous lag screw (AOCLS) and a newly developed combined cancellous lag screw (CCLS).
Results: The results demonstrated that the CCLS provided a higher IFCF without the risk of over-screwing, significantly improving fixation stability.
BMC Geriatr
December 2024
Research Department, Reha Rheinfelden, Rheinfelden, Switzerland.
Background: Exergames are interactive technology-based exercise programs. By combining physical and cognitive training components, they aim to preserve independence in older adults and reduce their risk of falling. This study explored whether primary end users (PEU, healthy older adults and patients with neurological and geriatric diagnoses) and secondary end users (SEU, health professionals) evaluated the ExerG functional model to be usable, providing a positive experience and therefore acceptable.
View Article and Find Full Text PDFJ Neuroeng Rehabil
December 2024
Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Background: This research aims to improve the control of assistive devices for individuals with hemiparesis after stroke by providing intuitive and proportional motor control. Stroke is the leading cause of disability in the United States, with 80% of stroke-related disability coming in the form of hemiparesis, presented as weakness or paresis on half of the body. Current assistive exoskeletonscontrolled via electromyography do not allow for fine force regulation.
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