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Related Concept Videos

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...
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...
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:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
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...
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...
Drug Dosing: Geriatric Patients01:15

Drug Dosing: Geriatric Patients

Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...

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Related Experiment Video

Updated: Jul 4, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Classifying and predicting errors of inpatient medication reconciliation.

Jennifer R Pippins1, Tejal K Gandhi, Claus Hamann

  • 1Division of General Medicine, Brigham and Women's Hospital, Boston, MA 02120-1613, USA.

Journal of General Internal Medicine
|June 20, 2008
PubMed
Summary

Unintentional medication discrepancies are common, often stemming from inaccurate pre-admission medication histories rather than reconciliation errors. Identifying high-risk patients can improve medication safety during care transitions.

Related Experiment Videos

Last Updated: Jul 4, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Pharmacovigilance
  • Patient Safety
  • Health Services Research

Background:

  • Medication reconciliation failures during care transitions cause patient harm.
  • Predictors and occurrence patterns of unintentional medication discrepancies are poorly understood.

Purpose of the Study:

  • Determine reasons for medication discrepancies.
  • Identify timing and predictors of potentially harmful medication discrepancies.

Main Methods:

  • Prospective observational study of general medical patients.
  • Comparison of pharmacist-led medication histories against medical team records and orders.
  • Adjudication of discrepancies by blinded physician teams to identify potential adverse drug events (PADEs).

Main Results:

  • 1.4 potentially harmful unintentional medication discrepancies per patient identified.
  • 72% of discrepancies resulted from errors in pre-admission medication history taking.
  • 75% of potential adverse drug events occurred at discharge.

Conclusions:

  • Inaccurate medication histories are a primary source of unintentional discrepancies.
  • Interventions should focus on improving medication history accuracy and discharge reconciliation.
  • Identifying high-risk patients is crucial for targeted medication safety interventions.