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Related Concept Videos

Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random Sampling Method01:09

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
Guidelines for Nursing Documentation I01:30

Guidelines for Nursing Documentation I

Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
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Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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 assessment...
Contaminants and Errors01:16

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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Related Experiment Video

Updated: Jul 7, 2026

Through-the-Wall Blood Sampling Method to Minimize Sleep Disruption in Clinical Settings
06:39

Through-the-Wall Blood Sampling Method to Minimize Sleep Disruption in Clinical Settings

Published on: June 13, 2025

Using snowball sampling method with nurses to understand medication administration errors.

Shuh-Jen Sheu1, Ien-Lan Wei, Ching-Huey Chen

  • 1School of Nursing, National Yang-Ming University, Taipei, Taiwan.

Journal of Clinical Nursing
|February 27, 2008
PubMed
Summary

Nurses reported 328 drug administration errors, with wrong drugs and doses being most common. Identifying high-alert situations like KCl and insulin administration can improve patient safety and reduce medication errors.

Related Experiment Videos

Last Updated: Jul 7, 2026

Through-the-Wall Blood Sampling Method to Minimize Sleep Disruption in Clinical Settings
06:39

Through-the-Wall Blood Sampling Method to Minimize Sleep Disruption in Clinical Settings

Published on: June 13, 2025

Area of Science:

  • Nursing Practice
  • Patient Safety
  • Medication Errors

Background:

  • Drug administration errors are frequent but underreported.
  • There is a need for effective methods to encourage nurses to report medication errors.
  • Understanding error circumstances is crucial for improving patient safety.

Purpose of the Study:

  • To encourage nurses to report drug administration errors.
  • To understand the circumstances surrounding medication errors.
  • To identify high-alert situations in drug administration.

Main Methods:

  • Snowball sampling was used to recruit 85 nurses.
  • A semi-structured questionnaire collected data on error types, circumstances, and reporting.
  • Data included error discovery, patient consequences, and reporting rates.

Main Results:

  • 328 errors (259 actual, 69 near misses) were reported, most in medical-surgical wards.
  • Wrong drugs and doses were the leading errors; 16.2% of actual errors had adverse effects.
  • High-alert situations included administering KCl, insulin, Pitocin, using IV pumps, and CPR.

Conclusions:

  • Snowball sampling effectively encouraged nurses to report medication errors.
  • Empirical data identified specific high-alert situations requiring attention.
  • Strategies for reducing drug administration errors, including double-checking in high-alert situations, are suggested.