ArticleJournal of imaging informatics in medicine2025
DEXA Result Automation into Radiology Reports: An Implementation Guide for Radiologists, PACS Administrators, and Technicians.
Article in Journal of imaging informatics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoporosis is prevalent among older adults, significantly increasing fracture risk, with hip fractures often leading to reduced survival. Dual-energy X-ray absorptiometry (DEXA) is the gold standard for diagnosing osteoporosis. However, manual transcription of DEXA results into radiology reports is error-prone and time-consuming. This study explores the implementation of a vendor-neutral structured report (SR) system to automate data import from DEXA scans, aiming to improve efficiency and accuracy. The study involved the use of Nuance PowerScribe 360 and Hyland's PACSgear ModLink for automating DEXA data entry into radiology reports. ModLink translates DEXA results into structured data, which is mapped to customized report templates. Radiologists compared the templates with and without the SR data being sent, analyzing time differences between the two templates using pre- and post-implementation measurements. The implementation of the SR system led to a significant reduction in report generation time, with radiologists achieving up to a fivefold decrease in dictation time. The slowest reader saw a 2.5-fold improvement, and the fastest reader showed a fivefold improvement (p < 0.01). No errors in data mapping were observed, indicating reliable integration of the SR system. In light of the current radiologist shortage, the SR system demonstrated notable improvements in workflow efficiency without adding to technologist workload. The time savings and reduced transcription errors offer radiology practices a valuable tool to enhance productivity and patient care. Automating the DEXA data transcription process using a structured report system substantially improves efficiency, minimizes errors, and has minimal implementation burden, representing a promising intervention for radiology practices facing increasing demand.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.