Related Experiment Video
Updated: Jan 13, 2026
04:19
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
4.3K
Trends in diagnostic error research across Asia: a quantitative content analysis
1Department of Diagnostic and Generalist Medicine, 20365086 Dokkyo Medical University Hospital , Shimotsuga, Tochigi, Japan.
Diagnosis (Berlin, Germany)
|January 6, 2026
Summary
Diagnostic error research in the Asia-Pacific is concentrated in high-GDP nations, with Japan focusing on internal medicine and AI trends emerging globally. Collaboration is key to improving diagnostic safety and equity across the region.
Area of Science:
- Medical Research
- Health Services Research
- Bibliometrics
Background:
- Diagnostic error is a significant patient safety concern.
- Research on diagnostic error in the Asia-Pacific region is growing but unevenly distributed.
- Understanding research trends is crucial for targeted interventions.
Purpose of the Study:
- To analyze recent trends in diagnostic error research in the Asia-Pacific region.
- To specifically examine research patterns in Japan.
- To identify key themes and temporal shifts in diagnostic error research.
Main Methods:
- Quantitative content analysis of PubMed-indexed publications (2016-2025).
- Analysis of titles using KH Coder for co-occurrence networks and themes.
- Correspondence analysis to assess temporal trends, including the impact of publication year.
Main Results:
- 815 articles were analyzed, with over 90% from five high-GDP countries.
- Common themes included diagnostic error, clinical characteristics, AI/machine learning, and study types.
- Japan's research focused on internal medicine and malpractice, while other regions emphasized cancer diagnostics and AI development. AI-related terms increased significantly from 2023.
Conclusions:
- Diagnostic error research in Asia-Pacific is concentrated, reflecting healthcare disparities.
- Strengthening regional networks and collaborative funding is essential.
- Enhanced collaboration can improve diagnostic safety and equity across the region.
Related Concept Videos
01:15Systematic Error: Methodological and Sampling Errors
8.6K
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...
8.6K
01:29Bias in Epidemiological Studies
1.3K
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:
1.3K
01:10Documentation of Nursing Diagnosis
1.6K
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...
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...
1.6K
01:12Types of Errors: Detection and Minimization
9.5K
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...
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...
9.5K
01:22Bias
7.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.2K
01:00Detection of Gross Error: The Q Test
6.9K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.9K