Evidence map›Paper›PMID 23739614›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Imaging informatics for consumer health: towards a radiology patient portal.

Corey W Arnold, Mary McNamara, Suzie El-Saden, Shawn Chen, Ricky K Taira, Alex A T Bui

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Creating patient-centered radiology reports to empower patients undergoing prostate magnetic resonance imaging.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2021
    Article
  9. Article
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  11. Durable usage of patient-reported outcome measures in clinical practice to monitor health-related quality of life in head and neck cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    Article
  12. Supporting Families in Reviewing and Communicating about Radiology Imaging Studies.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2017
    Article
  13. Review
  14. Article
  15. Trends in biomedical informatics: automated topic analysis of JAMIA articles.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  16. Review
  17. Review
  18. Patient Portal Preferences: Perspectives on Imaging Information.Journal of the Association for Information Science and Technology · 2015
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Corey W ArnoldMedical Imaging Informatics, Department of Radiological Sciences, University of California-Los Angeles, Los Angeles, California, USA.
Mary McNamara
Suzie El-Saden
Shawn Chen
Ricky K Taira
Alex A T Bui

Funding

A Predictive Prognostic Model for Glioblastoma MultiformeR01CA157553 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX · 2012 to 2016
$2.2M
RUMI: A patient portal for retrieving understandable medical informationR01LM011333 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX · 2012 to 2015
$1.3M
NCI NIH HHS R01 CA157553NCI NIH HHS R01 CA1575533NLM NIH HHS R01 LM011333
6 · The paper itself

Abstract

objectiveWith the increased routine use of advanced imaging in clinical diagnosis and treatment, it has become imperative to provide patients with a means to view and understand their imaging studies. We illustrate the feasibility of a patient portal that automatically structures and integrates radiology reports with corresponding imaging studies according to several information orientations tailored for the layperson.

methodsThe imaging patient portal is composed of an image processing module for the creation of a timeline that illustrates the progression of disease, a natural language processing module to extract salient concepts from radiology reports (73% accuracy, F1 score of 0.67), and an interactive user interface navigable by an imaging findings list. The portal was developed as a Java-based web application and is demonstrated for patients with brain cancer. RESULTS AND DISCUSSION: The system was exhibited at an international radiology conference to solicit feedback from a diverse group of healthcare professionals. There was wide support for educating patients about their imaging studies, and an appreciation for the informatics tools used to simplify images and reports for consumer interpretation. Primary concerns included the possibility of patients misunderstanding their results, as well as worries regarding accidental improper disclosure of medical information.

conclusionsRadiologic imaging composes a significant amount of the evidence used to make diagnostic and treatment decisions, yet there are few tools for explaining this information to patients. The proposed radiology patient portal provides a framework for organizing radiologic results into several information orientations to support patient education.

Indexed as

Patient Access to RecordsRadiology Information SystemsBrain NeoplasmsHumansInternetNatural Language ProcessingPatient Education as TopicRadiographyUnited Statescomputer assisted image processingnatural language processingpatient educationradiology

Identifiers

PMID23739614
PMCPMC3822110

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.