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Related Concept Videos

Nursing Diagnosis01:22

Nursing Diagnosis

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Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

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Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
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Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

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Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
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Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
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Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
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Acoustic Methods for Pulmonary Diagnosis.

Adam Rao, Emily Huynh, Thomas J Royston

    IEEE Reviews in Biomedical Engineering
    |October 30, 2018
    PubMed
    Summary

    New lung acoustic measurement tools offer accurate, portable ways to detect pulmonary diseases. Advanced signal processing enhances diagnosis from breathing sounds and other acoustic lung signals.

    Area of Science:

    • Pulmonary Medicine
    • Biomedical Engineering
    • Acoustics

    Background:

    • Lung acoustic signals (breathing, vocal sounds) offer diagnostic potential.
    • Traditional methods lack accuracy and portability.
    • Advancements in sensor technology and computational analysis are key.

    Purpose of the Study:

    • To review instrumentation for acoustic stimulation and lung signal measurement.
    • To explore recent research methods for pulmonary disease diagnosis using lung acoustics.
    • To highlight advancements in signal processing for improved feature extraction and classification.

    Main Methods:

    • Review of fundamental acoustic lung signal principles and relevant pathophysiology.
    • Focus on novel methods for acoustic signal measurement and generation in pulmonary diagnostics.

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  • Integration of signal processing and modeling techniques to reduce noise and enhance analysis.
  • Main Results:

    • Development of highly accurate and portable instrumentation for lung acoustics.
    • Improved signal processing leads to reduced noise and better feature extraction.
    • Human subject studies demonstrate accurate diagnosis of common lung diseases.

    Conclusions:

    • Modern lung acoustics, powered by new instrumentation and signal processing, enables accurate pulmonary disease diagnosis.
    • Portable devices facilitate measurements in diverse settings (hospital, clinic, home).
    • Standardization of future research in modern lung acoustics is encouraged.