Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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 and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Pharmaceutical Poisoning: Potential Scenarios01:26

Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pharmacist prioritization tools for paediatric patients: development, implementation, validation, and impact-a systematic review.

The International journal of pharmacy practice·2026
Same author

Arbuscular mycorrhiza provides postanthesis benefits to maximize wheat grain yield and nitrogen concentration.

The New phytologist·2026
Same author

Impact of patient-held medication records (PHMRs) on medication management across the continuum of health care: a systematic review and narrative synthesis.

BMJ open·2026
Same author

Current practices in the use and monitoring of intravenous unfractionated heparin infusions - A cross-sectional UK survey.

Thrombosis research·2026
Same author

Rethinking yield stability through phenotypic plasticity and its link to modern statistical methods.

Journal of experimental botany·2026
Same author

Rewiring diversity, physiology, and practice: integrating the next decade of wheat science.

Journal of experimental botany·2026

Related Experiment Video

Updated: May 8, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Measuring the severity of prescribing errors: a systematic review.

Sara Garfield1, Matthew Reynolds, Liesbeth Dermont

  • 1The Centre for Medication Safety and Service Quality, Imperial College Healthcare NHS Trust, Charing Cross Hospital, Fulham Palace Road, London, W6 8RF, UK, sara.garfield@imperial.nhs.uk.

Drug Safety
|August 20, 2013
PubMed
Summary

Assessing the severity of prescribing errors is crucial for evaluating interventions. This review found many tools, but few had proven reliability and validity, highlighting a need for better methods.

More Related Videos

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

Related Experiment Videos

Last Updated: May 8, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

Area of Science:

  • Medical Informatics
  • Patient Safety
  • Pharmacoeconomics

Background:

  • Prescribing errors are a significant concern in healthcare.
  • Assessing both frequency and severity of errors provides more clinically relevant data.
  • This is essential for evaluating the effectiveness of interventions aimed at reducing errors.

Purpose of the Study:

  • To systematically review tools used for assessing prescribing error severity.
  • To analyze tools reported in studies measuring hospital prescribing error rates.

Main Methods:

  • Searched MEDLINE, EMBASE, International Pharmaceutical Abstracts, and CINAHL (1985-2013).
  • Included studies reporting hospital prescribing errors or severity assessment tool properties.
  • Excluded non-English articles, single-disease/drug studies, and letters/abstracts.

Main Results:

  • 57% of 107 studies included severity assessment.
  • 40 severity assessment tools were identified.
  • Only two tools demonstrated acceptable reliability and validity; information on development and usability was often lacking.

Conclusions:

  • A wide variety of tools are used, hindering cross-study comparisons.
  • There is a need for a standardized, time-efficient method for measuring prescribing error severity.
  • Such a method should possess acceptable international reliability and validity.