Related Experiment Video
Updated: Jul 11, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Improving medical diagnoses by understanding how they are made
1Nineways Specialist Clinic, Newcastle, New South Wales, Australia. ninewaysspecialist@yahoo.com.au
Abstract:
While a correct diagnosis is essential to appropriate patient management, scant attention is paid to the processes by which medical diagnoses are arrived at. While mismanagement may arise from a lack of relevant knowledge or the misuse of available data, this is probably uncommon. In many cases in which diagnistic errors occur, an initial faulty triggering of an inappropriate hypothesis is followed by a premature closure, excluding the search for further data that might be relevant to the diagnostic process. Often this is followed by anchoring, so that even when additional relevant data becomes available, the new information is ignored, and the original, faulty diagnosis is retained. Disturbingly, these errors may not be a reflection of lack of training or experience, and must be guarded against by even the most senior clinicians. Perhaps a systematic review of diagnostic accuracy should become a routine part of institutional quality assurance programmes.
Related Concept Videos
Patient-centered Care
Formulating and Validating Nursing Diagnosis I
There are thirteen domains for...
Formulating and Validating Nursing Diagnosis II
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Documentation of Nursing Diagnosis
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...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
Automated Microbial Diagnostics

