Patterns of Access to Radiology Reports and Images Through a Patient Portal.

Informatics Information health exchange Patient engagement Patient portal Radiology

Journal

Journal of imaging informatics in medicine
ISSN: 2948-2933
Titre abrégé: J Imaging Inform Med
Pays: Switzerland
ID NLM: 9918663679206676

Informations de publication

Date de publication:
05 Feb 2024
Historique:
received: 19 10 2023
accepted: 21 12 2023
revised: 17 12 2023
medline: 5 2 2024
pubmed: 5 2 2024
entrez: 5 2 2024
Statut: aheadofprint

Résumé

Access to radiology reports and images through a patient portal offers several advantages. The purpose of this study was to characterize patient's interactions with their radiology results. This was a retrospective study that evaluated radiography, ultrasound, computed tomography, magnetic resonance imaging, and positron emission tomography, exams performed between July 2020 and June 2021 for patients aged 12 and older. Exam information, access logs of radiology reports and images, and patient demographics were obtained from the electronic health record and image viewing software. Descriptive statistics were computed. The study included 1,685,239 exams. A total of 54.1% of reports were viewed. MRI and PET reports were viewed with the greatest frequency (70.2% and 67.6%, respectively); 25.5% of exam images were viewed, with the greatest frequency for MRI (40.1%). Exams were shared a total of 17,095 times and downloaded 8409 times; 64% of reports were viewed for patients aged 18-39 and 34% for patients aged 80 and greater. The rate of reports viewed was greater for patients with English as their preferred language (57.1%) compared to other languages (33.3%). Among those viewed, 56.5% of reports and 48.2% of images were viewed multiple times; 72.8% of images were viewed on smartphones, 25.8% on desktop computers, and 1.4% on tablets. Patients utilize a portal to view reports and view and share images. Continued efforts are warranted to promote the use of portals and create patient-friendly imaging results to help empower patients.

Identifiants

pubmed: 38315344
doi: 10.1007/s10278-024-00996-0
pii: 10.1007/s10278-024-00996-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.

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Auteurs

Jason Wang (J)

Department of Radiology, New York University Langone Health, New York, NY, USA. Jason.Wang@nyulangone.org.

Julia E Goldberg (JE)

Department of Radiology, New York University Langone Health, New York, NY, USA.

Tobias Block (T)

Department of Radiology, New York University Langone Health, New York, NY, USA.

Dana Ostrow (D)

Department of Radiology, New York University Langone Health, New York, NY, USA.

Dan Carbone (D)

Department of Radiology, New York University Langone Health, New York, NY, USA.

Michael Recht (M)

Department of Radiology, New York University Langone Health, New York, NY, USA.

Ankur Doshi (A)

Department of Radiology, New York University Langone Health, New York, NY, USA.

Classifications MeSH