Cohort study of structured reporting compared with conventional dictation
Abstract
Purpose To determine if radiology residents who used a structured reporting system (SRS) produced higher quality reports than residents who used conventional free-text dictation to report cranial magnetic resonance (MR) imaging in patients suspected of having a stroke. Materials and methods The study was approved by an institutional review board and was HIPAA compliant; informed consent was obtained. This study included residents, with 16 in the control group and 18 in the intervention group. For phase 1, each subject reviewed the same set of 25 brain MR imaging cases and dictated the cases by using free-text conventional dictation. For phase 2, 4 months later, the control group repeated the same process, whereas the intervention group reread the same MR imaging cases by using SRS to create reports. Resident-generated reports were graded for accuracy and completeness by a neuroradiologist on the basis of consensus interpretations and criterion standard diagnoses as established with at least 6 months of clinical follow-up, imaging follow-up, and/or histologic examination where appropriate. Accuracy and completeness scores were analyzed by using a Wilcoxon signed rank test for paired data and a Mann-Whitney U test for nonpaired data. Intervention group residents were surveyed regarding their opinions of SRS. Results For phase 1 reports, no significant difference in accuracy or completeness scores between control and intervention groups was found. Decreases in accuracy (91.5 to…
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Negative EHR user experiences in general may result in partial data capture.
“negative EHR user experiences in general may result in partial data capture [29,32,33].”
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Cognitive and System Factors Contributing to Diagnostic Errors in Radiology
Lee, C. S., Nagy, P. G., Weaver, S. J., & Newman-Toker, D. E. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.12.10375 · Cited by 415 · see citing works
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- Authors
- Johnson, A. J., Chen, M. Y. M., Swan, J. S., Applegate, K. E., & Littenberg, B.
- Affiliations
- Wake Forest University Health Sciences (US)
- Harvard University (US)
- Indiana University – Purdue University Indianapolis (US)
- University of Vermont (US)
- Venue
- Radiology
- Published
- 2009-10
- Volume
- 253
- Issue
- 1
- Pages
- 74-80
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2149463929
- Cited by
- 139
- References
- 0
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 6 · 2023: 7 · 2022: 5 · 2021: 6 · 2020: 6 · 2019: 14 · 2018: 20 · 2017: 12 · 2016: 10 · 2015: 8 · 2014: 11 · 2013: 8 · 2012: 6
- FWCI
- 3.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- structured reporting, radiology report quality, radiology residents, brain MRI, stroke, reporting accuracy, reporting completeness
- MeSH terms
- Humans, Internship and Residency, Magnetic Resonance Imaging, Medical Records, Quality Control, Radiology, Radiology Information Systems, Software, Cohort Studies, Statistics, Nonparametric, Stroke
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