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Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center.

Publication ,  Journal Article
Wildman-Tobriner, B; Thorpe, MP; Said, N; Ehieli, WL; Roth, CJ; Jaffe, TA
Published in: Acad Radiol
February 2020

RATIONALE AND OBJECTIVES: To objectively and subjectively evaluate a large, academic radiology department's transition to electronic health record (EHR) centered workflow. MATERIALS AND METHODS: Multiple metrics were compared from before and after the move to EHR-driven workflow. Examination ordering and reading priority data were obtained for 30 days both before and after the transition. Sixteen radiologists were observed opening a computed tomography (CT) examination, and time to open, mouse clicks, and keystrokes were recorded. Information available to the radiologist during interpretation was also compared. Additionally, a 12 question survey was sent out to the residents and faculty both before and after the transition. RESULTS: Implementation of an eight-level reading priority system increased worklist granularity and improved identification of more urgent studies to read. Radiologists opened CT studies in picture archiving and communications system-driven workflow in 52.4 ± 16.9 seconds using 9.5 ± 3.9 clicks and 6.3 ± 2.9 keystrokes, compared to 17.3 ± 9.5 seconds, 4.8 ± 1.5 clicks, and 0.1 ± 0.3 keystrokes in EHR-driven workflow (p < 0.001 for each measure). More information was available to the radiologist during examination interpretation, and 54.7% of radiologists rated the ease of use of the new system as good or very good (compared to 4.2% for the old system, p < 0.001). CONCLUSION: Transitioning to an EHR-driven workflow at a large academic medical center improved efficiency, was favorable to radiologists, and enhanced examination prioritization.

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Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

February 2020

Volume

27

Issue

2

Start / End Page

253 / 259

Location

United States

Related Subject Headings

  • Workflow
  • Radiology Information Systems
  • Radiology
  • Nuclear Medicine & Medical Imaging
  • Electronic Health Records
  • Academic Medical Centers
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wildman-Tobriner, B., Thorpe, M. P., Said, N., Ehieli, W. L., Roth, C. J., & Jaffe, T. A. (2020). Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center. Acad Radiol, 27(2), 253–259. https://doi.org/10.1016/j.acra.2019.02.006
Wildman-Tobriner, Benjamin, Matthew P. Thorpe, Nicholas Said, Wendy L. Ehieli, Christopher J. Roth, and Tracy A. Jaffe. “Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center.Acad Radiol 27, no. 2 (February 2020): 253–59. https://doi.org/10.1016/j.acra.2019.02.006.
Wildman-Tobriner B, Thorpe MP, Said N, Ehieli WL, Roth CJ, Jaffe TA. Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center. Acad Radiol. 2020 Feb;27(2):253–9.
Wildman-Tobriner, Benjamin, et al. “Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center.Acad Radiol, vol. 27, no. 2, Feb. 2020, pp. 253–59. Pubmed, doi:10.1016/j.acra.2019.02.006.
Wildman-Tobriner B, Thorpe MP, Said N, Ehieli WL, Roth CJ, Jaffe TA. Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center. Acad Radiol. 2020 Feb;27(2):253–259.
Journal cover image

Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

February 2020

Volume

27

Issue

2

Start / End Page

253 / 259

Location

United States

Related Subject Headings

  • Workflow
  • Radiology Information Systems
  • Radiology
  • Nuclear Medicine & Medical Imaging
  • Electronic Health Records
  • Academic Medical Centers
  • 3202 Clinical sciences
  • 1103 Clinical Sciences