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Related Concept Videos

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...
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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 for...
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

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...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Critical Thinking II01:25

Critical Thinking II

Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:

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Related Experiment Video

Updated: May 19, 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

Factors influencing diagnostic decision-making.

Kathleen S N Callaghan1

  • 1Human Factors Group, Department of Surgery, The University of Auckland, PB 92019, Auckland, New Zealand. k.callaghan@auckland.ac.nz

Journal of Primary Health Care
|September 5, 2012
PubMed
Summary
This summary is machine-generated.

General practitioners identified 39 factors influencing diagnostic decisions. While not fully supporting a prescriptive model, clinical information and disease probability were highly valued, impacting patient care and outcomes.

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Area of Science:

  • Medical Decision Making
  • Qualitative Research Methods
  • Health Services Research

Background:

  • Diagnostic errors significantly impact patient workforce and compensation eligibility.
  • Previous research predominantly used quantitative methods, limiting qualitative insights into decision-making influences.

Purpose of the Study:

  • To identify factors influencing general practitioners' (GPs) diagnostic decision-making.
  • To develop a valid questionnaire assessing the desirability and importance of identified factors.

Main Methods:

  • Combined focus groups and Delphi method to identify influencing factors.
  • Employed Rasch analysis to evaluate the strength and stability of factor ratings.
  • Developed and validated a questionnaire for assessing factor desirability and importance.

Main Results:

  • Identified 39 distinct factors influencing diagnostic decisions.
  • High stability but no consensus on factors like evidence-based medicine and medicolegal issues.
  • Consensus achieved on patient advocacy and examination findings after the second Delphi round.
  • Rasch analysis confirmed questionnaire validity, explaining significant variance in factor ratings.

Conclusions:

  • GPs readily identified numerous factors influencing their diagnostic processes.
  • Findings suggest a nuanced approach to diagnostic decision-making, not strictly adhering to a prescriptive model.
  • Despite varied influences, clinical information and probability of disease remain highly desirable and important factors.