We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Patient’s Photo on X-Ray Images Leads to Drastic Reduction in Wrong Patient Mistakes

By MedImaging International staff writers
Posted on 06 May 2013
New research has revealed that by adding a facial photos to X-ray images can slash “wrong-patient” errors five-fold.

“X-rays can look alike, and if one patient’s images are confused with another before the radiologist sees them, it can be difficult for the radiologist to determine there is a mismatch,” said Dr. Srini Tridandapani, from Emory University (Atlanta, GA, USA), and an author of the study.

As part of the study, 10 radiologists interpreted 20 pairs of radiographic images with and without photographs. Two to four mismatched pairs were included in each set of 20 pairs of images. When photographs were added, radiologists accurately identified the mismatch 64% of the time. The error detection rate was approximately 13% when photographs were not included, according to Dr. Tridandapani.

In the study, the radiologists did not know they could use the photographs as a way to identify mismatched X-ray images, and some reported that they intentionally ignored the photographs because they thought the study was designed to determine if a photograph would distract them. “We did a second study of five radiologists, and we told them to use the photographs. The error detection rate went up to 94% in the second study,” said Dr. Tridandapani.

Unexpectedly, the interpretation time decreased in the first study when the photographs were added to the images, according to Dr. Tridandapani. “We’re not sure why this happened, but it could be because the photograph provided clinical clues that assisted the radiologist in making the diagnosis,” he said. “I estimate that about one out of 10,000 examinations have wrong-patient errors. It occurred to me that we should be adding a photograph to every medical imaging study as a means to correct this problem after I received a phone call, and a picture of the caller appeared on my phone. The picture immediately identified for me who the caller was.”

The study required additional personnel to take the pictures of the patients immediately after the patients’ X-ray scan. However, Dr. Tridandapani and his colleagues have developed a prototype system where the camera can be attached to a portable X-ray machine; the picture is taken without additional personnel.

The study findings, jointly conducted at Emory University and Georgia Institute of Technology (Atlanta, GA, USA), were presented in April 2013 at the American Roentgen Ray Society (ARRS) annual meeting, held in Washington DC (USA).

Related Links:
Emory University
Georgia Institute of Technology


Ultrasound Table
Women’s Ultrasound EA Table
Computed Tomography System
Aquilion ONE / INSIGHT Edition
Mammo DR Retrofit Solution
DR Retrofit Mammography
Ultrasound Needle Guidance System
SonoSite L25

Channels

Nuclear Medicine

view channel
Image: The new tracer, 64Cu-NOTA-EV-F(ab′)2​, targets nectin-4, a protein strongly linked to tumor growth in both TNBC and UBC cancer types. (Wenpeng Huang et al., DOI: 10.2967/jnumed.125.270132)

PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers

Triple-negative breast cancer (TNBC) and urothelial bladder carcinoma (UBC) are aggressive cancers often diagnosed at advanced stages, leaving limited time for effective treatment decisions.... Read more

General/Advanced Imaging

view channel
Image: Concept of the photo-thermoresponsive SCNPs (J F Thümmler et al., Commun Chem (2025). DOI: 10.1038/s42004-025-01518-x)

New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents

Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.