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Related Concept Videos

Hand hygiene01:23

Hand hygiene

5.2K
Asepsis is the practice of preventing or breaking the chain of infection. The nurse employs aseptic techniques to prevent the spread of microorganisms and reduce the risk of diseases. Hand hygiene is the cornerstone of aseptic techniques and is classified into medical and surgical asepsis. Medical asepsis includes hand hygiene and the use of gloves. Surgical asepsis, or the sterile technique, refers to practices that render and keep objects and areas free of microorganisms.
Hand washing...
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Handwashing I: Introduction and Types of Equipment01:18

Handwashing I: Introduction and Types of Equipment

4.8K
Handwashing is hand hygiene with plain or antimicrobial soap and water to physically remove dirt, organic material, and microorganisms. However, it may not kill all microorganisms. The handwashing procedure requires a hand wash basin, liquid soap, paper towels, a domestic waste bin, and disposable nail cleaner as optional equipment.
Hand wash basins in clinical areas should have faucets that can be turned on and off without using the hands; that is, they should be non-touch or lever-operated....
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Handwashing III: During the Procedure and Post-Procedure Steps01:15

Handwashing III: During the Procedure and Post-Procedure Steps

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To wash hands properly, follow these steps:
2.0K
Handwashing II: Pre-procedure and Initial Procedure Steps01:19

Handwashing II: Pre-procedure and Initial Procedure Steps

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The pre-procedure steps of handwashing include removing jewelry and rolling up sleeves. However, many organizations allow staff to wear wedding rings.
The hand washing procedure itself includes the following steps. First, cover cuts, if any, on hands with a waterproof dressing. Cuts and abrasions can become contaminated with bacteria hindering the ability to clean the area thoroughly. In addition, repeated hand washing can worsen an injury.  The nails must be short and clean, without nail...
1.4K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

903
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
903
Assessing Body Temperature - Oral01:14

Assessing Body Temperature - Oral

1.2K
Here are the steps to accurately measure oral temperature using an electronic thermometer:
Step 1:
Start by practicing proper hand hygiene to prevent the spread of microorganisms.
Step 2:
Take the thermometer out of the charging unit, switch it on, and wait for the ready sign.
Step 3:
Gently slide the probe cover until a click is heard. This simple action prevents cross-contamination and ensures the correct placement of the probe cover.
Step 4:
Instruct the patient to open their mouth and place...
1.2K

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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

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Automatic detection of hand hygiene using computer vision technology.

Amit Singh1, Albert Haque2, Alexandre Alahi3

  • 1Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.

Journal of the American Medical Informatics Association : JAMIA
|July 27, 2020
PubMed
Summary
This summary is machine-generated.

Computer vision accurately monitors hand hygiene dispenser use, matching human observation. This technology offers continuous hospital-wide surveillance, improving infection prevention beyond traditional methods.

Keywords:
artificial intelligencecomputer visiondepth sensinghand hygienehealthcare acquired infectionsmachine learningpatient safety

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Area of Science:

  • Medical technology
  • Infection control
  • Computer vision

Background:

  • Hand hygiene is critical for preventing hospital-acquired infections.
  • Current methods for tracking hand hygiene compliance, like human auditors, are insufficient for comprehensive assessment.
  • Computer vision offers a potential solution for more accurate and continuous monitoring.

Purpose of the Study:

  • To evaluate the accuracy of a computer vision algorithm in observing hand hygiene dispenser use.
  • To compare the performance of computer vision with traditional in-person observations.

Main Methods:

  • Sixteen depth sensors were deployed in a hospital unit.
  • A convolutional neural network machine learning algorithm was trained to detect dispenser use from sensor images.
  • Algorithm accuracy was compared against simultaneous in-person observations and blinded annotations.

Main Results:

  • The computer vision algorithm achieved a 96.8% concordance rate with human observation (kappa = 0.85).
  • Algorithm sensitivity was 92.1% and specificity was 98.3%.
  • Human observations had 85.2% sensitivity and 99.4% specificity.

Conclusions:

  • Computer vision is equivalent to human observation for detecting hand hygiene dispenser use.
  • This technology can provide more complete appraisals of hospital hand hygiene activity.
  • Continuous computer vision monitoring enhances infection prevention strategies.