Related Experiment Video
Updated: Jun 25, 2026

04:19
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Information-gathering patterns associated with higher rates of diagnostic error
John E Delzell1, Heidi Chumley, Russell Webb
1University of Kansas School of Medicine, 3901 Rainbow Blvd, Mailstop 4010, Kansas City, KS 66160, USA. jdelzell@kumc.edu
Advances in Health Sciences Education : Theory and Practice
|February 17, 2009
Summary
Medical students
Area of Science:
- Medical Education
- Diagnostic Error Research
- Health Professions Education
Background:
- Diagnostic errors represent a significant category of medical errors.
- Ineffective information gathering is a primary contributor to diagnostic errors among healthcare professionals and students.
- Understanding student information-gathering patterns is crucial for improving diagnostic accuracy.
Purpose of the Study:
- To identify distinct clusters of information-gathering strategies used by medical students.
- To quantify the diagnostic error rates associated with each identified cluster.
- To analyze the relationship between information-gathering patterns and diagnostic accuracy.
Main Methods:
- Utilized a computer-based case simulation involving 141 second-year medical students.
- Analyzed information-gathering sequences (history, physical examination, ancillary tests) using a self-organizing artificial neural network.
- Identified seven distinct clusters of information-gathering patterns and compared diagnostic error percentages across clusters.
Main Results:
- Seven distinct clusters of medical student information-gathering patterns were identified.
- Significant differences in incorrect diagnosis percentages (0-42%) were observed among these clusters (P = .034).
- A strong positive correlation (Spearman r = .893, P = .007) was found between cluster proximity to the worst-performing group and diagnostic error rates.
Conclusions:
- Medical student information-gathering patterns are demonstrably distinct.
- Specific information-gathering strategies are associated with varying levels of diagnostic error.
- Targeted interventions addressing inefficient information-gathering patterns may reduce diagnostic errors in medical training.
Related Concept Videos
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...
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...
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...
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...
Data Collection I
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
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...
Several factors...
Methods of Documentation III: PIE
Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:

