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Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow.

Publication ,  Journal Article
Patel, BN; Lopez, JM; Jiang, BG; Roth, CJ; Nelson, RC
Published in: J Am Coll Radiol
January 2017

PURPOSE: To determine the value of image-rich radiology reports (IRRR) by evaluating the interest and preferences of referring physicians, potential impact on clinical workflow, and the willingness of radiologists to create them. METHODS: Referring physicians and radiologists were interviewed in this prospective, HIPAA-compliant study. Subject willingness to participate in the study was determined by an e-mail. A single investigator conducted all interviews using a standard questionnaire. All subjects reviewed a video mockup demonstration of IRRR and three methods for viewing embedded images, as follows: (1) clickable hyperlinks to access a scrollable stack of images, (2) scrollable and enlargeable small-image thumbnails, and (3) scrollable but not enlargeable medium-sized images. Questionnaire responses, free comments, and general impressions were captured and analyzed. RESULTS: Seventy-two physicians (36 clinicians, 36 radiologists) were interviewed. Thirty-one clinicians (86%) expressed interest in using IRRR. Seventy-seven percent of subjects believed IRRR would improve communication. Ten clinicians (28%) preferred method 1, 18 (50%) preferred method 2, and 8 (22%) preferred method 3 for embedding images. Thirty clinicians (83%) stated that IRRR would improve efficiency. Twenty-two radiologists (61%) preferred selecting a tool button with a mouse and right-clicking images to embed them, 13 (36%) preferred pressing a function key, and 11 (31%) preferred dictating series and image numbers. The average time radiologists were willing to expend for embedding images was 66.7 seconds. CONCLUSIONS: Referring physicians and radiologist both believe IRRR would add value by improving communication with the potential to improve the workflow efficiency of referring physicians.

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Published In

J Am Coll Radiol

DOI

EISSN

1558-349X

Publication Date

January 2017

Volume

14

Issue

1

Start / End Page

57 / 64

Location

United States

Related Subject Headings

  • Workflow
  • United States
  • Radiology Information Systems
  • Quality Improvement
  • Quality Assurance, Health Care
  • Nuclear Medicine & Medical Imaging
  • Health Surveys
  • Documentation
  • Diagnostic Imaging
  • Attitude of Health Personnel
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Patel, B. N., Lopez, J. M., Jiang, B. G., Roth, C. J., & Nelson, R. C. (2017). Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow. J Am Coll Radiol, 14(1), 57–64. https://doi.org/10.1016/j.jacr.2016.07.018
Patel, Bhavik N., Jose M. Lopez, Brian G. Jiang, Christopher J. Roth, and Rendon C. Nelson. “Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow.J Am Coll Radiol 14, no. 1 (January 2017): 57–64. https://doi.org/10.1016/j.jacr.2016.07.018.
Patel BN, Lopez JM, Jiang BG, Roth CJ, Nelson RC. Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow. J Am Coll Radiol. 2017 Jan;14(1):57–64.
Patel, Bhavik N., et al. “Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow.J Am Coll Radiol, vol. 14, no. 1, Jan. 2017, pp. 57–64. Pubmed, doi:10.1016/j.jacr.2016.07.018.
Patel BN, Lopez JM, Jiang BG, Roth CJ, Nelson RC. Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow. J Am Coll Radiol. 2017 Jan;14(1):57–64.
Journal cover image

Published In

J Am Coll Radiol

DOI

EISSN

1558-349X

Publication Date

January 2017

Volume

14

Issue

1

Start / End Page

57 / 64

Location

United States

Related Subject Headings

  • Workflow
  • United States
  • Radiology Information Systems
  • Quality Improvement
  • Quality Assurance, Health Care
  • Nuclear Medicine & Medical Imaging
  • Health Surveys
  • Documentation
  • Diagnostic Imaging
  • Attitude of Health Personnel