ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2023
Patient Understanding of Oncologic Radiology Reports: Is Access to Electronic Medical Records Helpful?
Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- The impact of different radiology report formats on patient information processing: a systematic review.European radiology · 2025Pooled it
- Perceived communication quality of a standardized neuroradiology report following AI-based simplification: a randomized, blinded study.Insights into imaging · 2026Article
- Cancer Education in the Era of Immediate Results Access.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- Exploring Radiologists' Use of AI Chatbots for Assistance in Image Interpretation: Patterns of Use and Trust Evaluation.Journal of imaging informatics in medicine · 2026Article
- Psychological Impact of AI-Simplified Brain MRI Reports: A Randomized Trial of Patient Understanding, Anxiety, and Health Literacy.Journal of clinical medicine · 2026Article
- Self-reported comprehension of large language model-generated summaries of lung cancer screening reports: a vignette survey.Radiology advances · 2026Article
- Development and expert radiologist validation of a custom pipeline for simplification of oncology radiology reports using large language model.Frontiers in oncology · 2026Article
- Advancing cancer care through digital access in the USA: a state-of-the-art review of patient portals in oncology.BMJ oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Access to electronic medical record (EMR) patient portals made it easier for patients to quickly acquire the results of their radiology studies. However, there is little research on how well oncology patients understand the findings of radiology reports presented in the online portal without patient-physician discussion. This study assessed oncology patients' confidence and accuracy in interpreting radiology reports either with or without layman translations. A survey based on a radiology report was administered to oncology patients and caregivers. Two versions of the radiological report were randomly distributed, either a standard report or one with layman translations to evaluate participant understanding and accuracy of interpreting radiological results. Among 85 participants, a majority (67.8%) reported wanting patient portal access to radiological reports, yet less than a quarter (21.2%) felt confident in reading and interpreting radiological reports. Univariate binary logistic regression models showed that participants who read the lay report were 8 times more likely to find the radiology report easy to read. This research demonstrated that the inclusion of layman translation of standard radiology reports improves oncology patients' and caregivers' understanding of such reports with statistically significant and clinically meaningful increases in readability.
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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 OpenQuestion graph.