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

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...
Therapeutic Drug Monitoring: Overview and Classification01:16

Therapeutic Drug Monitoring: Overview and Classification

Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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:
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...
Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...

You might also read

Related Articles

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

Sort by
Same author

Physical and mental health professionals perspectives of providing mental health care for young people: A qualitative interview study.

PLOS mental health·2026
Same author

Experiences of barriers and facilitators in mental health care transitions: A qualitative exploration of perspectives from transitional-aged youth, family, and service providers (part 1).

Health care transitions·2024
Same author

The role of navigation services in supporting mental health and addictions care transitions: A qualitative exploration of perspectives from transitional-aged youth, family, and service providers (part 2).

Health care transitions·2024
Same author

Transitions in mental health and addiction care for youth and their families: a scoping review of needs, barriers, and facilitators.

BMC health services research·2023
Same author

Navigation for youth mental health and addictions: protocol for a realist review and synthesis of approaches and practices (The NavMAP standards project).

BMJ open·2022
Same author

The Use of Bacteriophages and Immunological Monitoring for the Treatment of a Case of Chronic Septicemic Cutaneous Ulcerative Disease in a Loggerhead Sea Turtle Caretta caretta.

Journal of aquatic animal health·2021

Related Experiment Video

Updated: Jul 9, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Tutorial on monitoring time to next medication error.

Cynthia Hovor1, Cathy Walsh

  • 1Department of Health Administration and Policy, George Mason University, Fairfax, Virginia 22030, USA. chovor@gmu.edu

Quality Management in Health Care
|December 1, 2007
PubMed
Summary

Monitoring rare medical events, like medication omissions, can be improved by tracking time to the event instead of frequency. This method, using control charts, effectively detects process changes in healthcare settings.

More Related Videos

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Related Experiment Videos

Last Updated: Jul 9, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Area of Science:

  • Healthcare Quality Improvement
  • Patient Safety Research
  • Statistical Process Control

Background:

  • Rare events in healthcare, such as medication errors, pose challenges for traditional monitoring methods focused on event frequency.
  • Existing quality improvement initiatives often struggle to detect subtle changes in processes when dealing with infrequent occurrences.

Purpose of the Study:

  • To evaluate the effectiveness of shifting from monitoring the frequency of rare events to analyzing the time to the event for detecting process changes.
  • To assess the utility of control charts in identifying variations in medication omission errors within an acute care hospital.

Main Methods:

  • Utilized data from an acute care hospital in the United States, focusing on medication omissions.
  • Applied two types of control charts, XmR and Tukey charts, to analyze the time to medication omission events.
  • Selected the control chart with the tightest control limits for detailed interpretation.

Main Results:

  • The XmR control chart demonstrated sufficient statistical power to identify days with unusually long times to medication omission errors compared to the historical average.
  • Analysis confirmed that changes in the underlying care process could be detected using this time-to-event approach.
  • The study successfully identified specific days where the time to omission was significantly higher than the norm.

Conclusions:

  • Monitoring rare events, even those as infrequent as medication omissions, is viable by analyzing the time to the event.
  • Control charts, specifically the XmR chart, are effective tools for safety teams to monitor progress in reducing the frequency of sentinel events.
  • The time-to-event methodology offers a sensitive approach for healthcare quality and safety teams to track improvements.