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

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
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...
1.3K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

2.7K
A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
2.7K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

2.8K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
2.8K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

764
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...
764
Role of Communication in the Nursing Process I: Assessment and Diagnosis01:25

Role of Communication in the Nursing Process I: Assessment and Diagnosis

4.4K
The nursing process uses scientific reasoning, problem-solving, and critical thinking to guide nurses in providing patients with appropriate care. This process is a systematic approach to recognize, avoid, and treat current or potential health issues while promoting the patient's well-being.
The nursing process considers the patient's emotional and physical well-being. The process can be repeated or stopped at any point if judged essential. Assessment is the first step in the nursing...
4.4K
Nursing Diagnosis01:22

Nursing Diagnosis

2.8K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Demographic, clinicopathological, and treatment of oral squamous cell carcinoma patients at a Johannesburg Academic Hospital, South Africa: a 5-year retrospective observational study.

BMC cancer·2025
Same author

Situational Awareness in the Context of Clinical Practice.

Healthcare (Basel, Switzerland)·2023
Same author

Tumour Genetic Heterogeneity in Relation to Oral Squamous Cell Carcinoma and Anti-Cancer Treatment.

International journal of environmental research and public health·2023
Same author

Burnout phenomenon: neurophysiological factors, clinical features, and aspects of management.

The Journal of international medical research·2022
Same author

Noma staging: a review.

Tropical medicine and health·2022
Same author

The burnout construct with reference to healthcare providers: A narrative review.

SAGE open medicine·2022

Related Experiment Video

Updated: Jul 18, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

Errors in clinical diagnosis: a narrative review.

Zunaid Ismail Vally1, Razia A G Khammissa1, Gal Feller2

  • 1School of Dentistry, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

The Journal of International Medical Research
|August 21, 2023
PubMed
Summary

Cognitive biases and system factors contribute to diagnostic errors in healthcare. Minimizing these errors requires clinicians to use multiple information sources and reflective practices to improve diagnostic skills.

Keywords:
Judgmentanalytic reasoningcognitive biasdecision-makingdiagnostic errormedical uncertaintynon-analytic reasoning

More Related Videos

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.9K
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.7K

Related Experiment Videos

Last Updated: Jul 18, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.9K
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.7K

Area of Science:

  • Medical error analysis
  • Cognitive psychology in medicine
  • Healthcare system improvement

Background:

  • Diagnostic errors stem from cognitive biases and other cognitive failures.
  • Factors influencing diagnostic errors include clinician, patient, disease, and healthcare system elements.
  • While experienced clinicians use intuitive and analytical reasoning, errors remain unavoidable.

Purpose of the Study:

  • To review factors contributing to the development of diagnostic errors.
  • To enhance understanding of the complex interactions influencing clinical diagnostic errors.
  • To inform strategies for reducing diagnostic errors in healthcare.

Main Methods:

  • This narrative review synthesizes information on cognitive biases and other factors in diagnostic errors.
  • It examines the interplay between clinician, patient, disease, and system-level influences.
  • The review emphasizes the importance of reflective and metacognitive practices.

Main Results:

  • Cognitive biases and system-specific factors are primary drivers of diagnostic errors.
  • Both intuitive (non-analytic) and deliberate (analytic) reasoning are employed in diagnosis, with potential for error in both.
  • Minimizing errors involves integrating multiple information sources (experience, expert opinion, data, guidelines) and metacognitive strategies.

Conclusions:

  • Understanding the multifaceted nature of diagnostic errors is crucial for mitigation.
  • Strategies for reducing diagnostic errors should address cognitive, systemic, and individual clinician factors.
  • Reducing clinical diagnostic error is essential for public health and patient safety.