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Related Concept Videos

Virtual Work01:20

Virtual Work

The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...

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Virtual Reality Experiments with Physiological Measures
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Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

Virtual reality.

Catharine Sadler

    Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
    |February 16, 2008
    PubMed
    Summary

    A new computer scoring system identifies patients at high risk for unplanned hospital admissions. This allows for early intervention and essential care from community staff.

    Area of Science:

    • Health Informatics
    • Predictive Analytics
    • Public Health

    Background:

    • Unplanned hospital admissions pose a significant burden on healthcare systems.
    • Early identification of at-risk individuals is crucial for effective resource allocation.
    • Community-based interventions can mitigate the need for hospitalizations.

    Purpose of the Study:

    • To develop and validate a computer-generated scoring system for identifying individuals at high risk of unplanned hospital admission.
    • To enable timely and targeted interventions by community healthcare providers.

    Main Methods:

    • Development of a predictive scoring model using relevant patient data.
    • Implementation of the scoring system within a community healthcare setting.
    • Evaluation of the system's accuracy in identifying high-risk individuals.

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    Virtual Reality Experiments with Physiological Measures
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    10:38

    Human Fear Conditioning Conducted in Full Immersion 3-Dimensional Virtual Reality

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    Main Results:

    • The computer-generated scoring system successfully identified individuals at high risk of unplanned hospital admission.
    • Early detection facilitated proactive care planning and resource deployment.

    Conclusions:

    • A computer-generated scoring system is effective in predicting unplanned hospital admissions.
    • This tool empowers community staff to provide timely interventions, improving patient outcomes and potentially reducing healthcare costs.