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Related Experiment Video

Updated: Jul 9, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

Checking concordance between findings and diagnoses in sonographic reports by a knowledge-based documentation system.

M Huettig¹, G Buscher, F Puppe

¹Clinic for Internal Medicine 2, DRK-Kliniken Berlin Köpenick.

Ultraschall in Der Medizin (Stuttgart, Germany : 1980)

|December 22, 2007

Summary

Sonographic reports can be unreliable due to examiner dependence. A knowledge-based system (SonoConsult) improved consistency by checking documented findings against diagnostic conclusions, reducing discrepancies in ultrasound reports.

Related Experiment Videos

Last Updated: Jul 9, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

Area of Science:

Medical Informatics
Diagnostic Imaging
Quality Improvement

Background:

Sonographic reports are subjective and examiner-dependent, potentially impacting diagnostic reliability.
Ensuring concordance between documented ultrasound findings and diagnostic conclusions is crucial for quality control.

Purpose of the Study:

To investigate the concordance between documented sonographic findings and diagnostic conclusions using a knowledge-based documentation system.
To assess the reliability and consistency of ultrasound reports by comparing physician diagnoses with system-generated inferences.

Main Methods:

Utilized the SonoConsult (SC) knowledge-based system for routine documentation in a gastroenterological clinic's ultrasound unit.
Compared physician-documented diagnoses (free text) with SC-inferred diagnoses based on structured findings.
Manually reviewed discrepancies, classifying them by clinical relevance and inferential complexity.

Main Results:

In the first series (250 cases), 71.1% agreement was found; 24.4% of diagnoses were false negatives (physician missed) and 4.5% were false positives.
In the second series (161 cases), agreement dropped to 61.1%, with 36.1% false negatives and 2.8% false positives.
Higher clinical relevance and complexity of diagnoses correlated with increased rates of missed findings.

Conclusions:

Discrepancies between documented sonographic findings and diagnostic conclusions are common and require attention.
Detailed finding documentation is essential for quality control.
Automated consistency checks within electronic patient records can significantly enhance the quality of sonographic reports.