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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...
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...
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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Identifying and Categorizing Diagnostic Errors in Abdominal Imaging Using a Diagnostic Imaging-Specific Annotation

Ronilda Lacson1, Kristine S Burk2, Jeffrey P Guenette3

  • 1Associate Director of Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachussetts; Associate Professor of Radiology, Harvard Medical School, Boston, Massachussetts.

Journal of the American College of Radiology : JACR
|June 9, 2026
PubMed
Summary
This summary is machine-generated.

Diagnostic errors impact nearly 1 in 7 patients undergoing abdominal imaging with radiologist-recommended additional imaging (RAI). Delays in testing were the primary cause, highlighting a critical area for quality improvement in diagnostic accuracy.

Keywords:
Diagnostic errorsannotation processdiagnostic workflow

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Area of Science:

  • Radiology and Medical Imaging
  • Healthcare Quality Improvement
  • Diagnostic Error Analysis

Background:

  • Diagnostic errors are a significant concern in healthcare, impacting patient safety and outcomes.
  • Abdominal imaging, frequently involving recommendations for additional imaging (RAI), is susceptible to process-related diagnostic errors.
  • Quantifying and categorizing these errors is crucial for targeted interventions.

Purpose of the Study:

  • To identify and classify factors contributing to diagnostic errors in abdominal imaging.
  • To develop and validate an annotation process for detecting and categorizing process-related diagnostic errors.
  • To assess the reliability of this annotation process.

Main Methods:

  • Retrospective Quality Improvement study of 185 adult patients undergoing abdominal diagnostic imaging with RAI.
  • Development of a taxonomy for process-related errors by an expert panel.
  • Iterative training of annotators to apply the taxonomy and assess medical records.
  • Assessment of inter-rater reliability and agreement with a gold standard established by abdominal radiologists.

Main Results:

  • 14.6% of patients undergoing abdominal imaging with RAI experienced at least one diagnostic error.
  • Inter-annotator agreement with the gold standard improved from 61.1% to 80% after iterative training.
  • "Delay in performing ordered test(s)" was identified as the major contributory factor to diagnostic errors.

Conclusions:

  • Process-related diagnostic errors are prevalent, affecting nearly 1 in 7 patients in this abdominal imaging cohort.
  • An iterative annotation process, after training, can reliably identify diagnostic errors in medical records.
  • Targeting delays in diagnostic testing is essential for improving accuracy in abdominal imaging.