News | April 16, 2013

New study finds interpretation time also decreases

Adding Patient Picture to X-Rays Dramatically Drops Wrong Patient Errors

April 16, 2013 — A new study finds adding a photo of a face to X-ray images can reduce "wrong-patient" errors five-fold.

As part of the study, ten 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 correctly identified the mismatch 64 percent of the time. The error detection rate was about 13 percent when photographs were not included, according to Srini Tridandapani, M.D, of Emory University and an author of the study.

The radiologists in the study did not know they could use the photographs as a means to identify mismatched X-ray images, and some said they purposely 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 percent in the second study," said Tridandapani.

Surprisingly, the interpretation time went down in the first study when the photographs were added to the images. "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," said Tridandapani.

"I estimate that about 1 out of 10,000 examinations have wrong-patient errors," he Tridandapani.

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

For more information: www.arrs.org


Related Content

News | Radiology Business

July 25, 2024 — Immunis, Inc., a clinical-stage biotech developing groundbreaking secretome therapeutics for age and ...

Time July 25, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 23, 2024 — Researchers at the National Institutes of Health (NIH) found that an artificial intelligence (AI) model ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
News | Radiology Business

July 19, 2024 — GE HealthCare announced it has entered into an agreement to acquire Intelligent Ultrasound Group PLC’s ...

Time July 19, 2024
arrow
News | Radiology Education

July 19, 2024 — Core tactics to address the current medical imaging and radiation therapy workforce shortage and build ...

Time July 19, 2024
arrow
News | Computed Tomography (CT)

July 18, 2024 — NeuroLogica Corp, a subsidiary of Samsung Electronics Co. Ltd., announced its latest configuration of ...

Time July 18, 2024
arrow
News | Digital Radiography (DR)

July 18, 2024 — At the Annual Meeting of AHRA (the Association for Medical Imaging Management), Agfa Radiology Solutions ...

Time July 18, 2024
arrow
News | Artificial Intelligence

July 17, 2024 — Hyperfine, a groundbreaking medical device company that has redefined brain imaging with the world’s ...

Time July 17, 2024
arrow
News | Magnetic Resonance Imaging (MRI)

July 16, 2024 — Fujifilm Healthcare Americas Corporation, a leading provider of diagnostic and enterprise imaging ...

Time July 16, 2024
arrow
Subscribe Now