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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...

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Related Experiment Video

Updated: May 29, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Automatically inserted technical details improve radiology report accuracy.

Hani H Abujudeh¹, Siddharth Govindan, Ozden Narin

¹Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. habujudeh@partners.org

Journal of the American College of Radiology : JACR

|September 6, 2011

Summary

Automatically inserted technical details significantly improved radiology report accuracy compared to manual entry. This enhances the concordance between report headers and actual procedures performed.

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Area of Science:

Radiology Informatics
Medical Auditing

Background:

Accurate radiology reports are crucial for patient care and billing.
Manual entry of technical details is prone to errors and discrepancies.
Automated systems offer potential for improved accuracy and efficiency.

Purpose of the Study:

To evaluate the impact of automatically inserted technical details (AITD) versus manually inserted technical details (MITD) on radiology report header concordance.
To quantify the difference in discordance percentages between AITD and MITD.

Main Methods:

Retrospective analysis of radiology report audit data from 2005-2009.
Defined "discordance percentage" as the rate of procedure code changes during auditing.
Compared discordance percentages between MITD and AITD groups using Chi-square analysis.

Main Results:

Analyzed 8,546 studies (3,948 MITD, 4,598 AITD).
MITD discordance percentage was 3.95%; AITD discordance percentage was 1.37%.
A statistically significant difference (P < 0.001) was found, favoring AITD.

Conclusions:

Automatically inserted technical details significantly improve the concordance of radiology report headers with performed procedures.
AITD reduces errors and enhances the reliability of radiology reporting.
Implementation of AITD is recommended for improved accuracy in radiology.