Abstract
The radiology report is the radiologist’s primary work product. While radiology reports have traditionally been in prose format, there have been increasing efforts toward using structured reporting and lexicons to promote greater standardization with the overall goal of improving radiologists’ value through enhanced communications. Radiology was one of the early adopters of speech recognition technology in medicine. With technology advancements and AI, reporting solutions are becoming more intelligent to enhance the workflow of the radiologists and their work product.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alarifi M, Patrick T, Jabour A, Wu M, Luo J. Full radiology report through patient web portal: a literature review. Int J Environ Res Public Health. 2020;17(10):3673. https://doi.org/10.3390/ijerph17103673.
AMA. CPT®. American Medical Association. n.d. Retrieved September 5, 2020, from https://www.ama-assn.org/practice-management/cpt.
American College of Radiology. ACR practice parameter for communication of diagnostic imaging findings. n.d. p. 9. https://www.acr.org/-/media/ACR/Files/Practice-Parameters/CommunicationDiag.pdf.
American College of Radiology. Reporting and data systems. n.d. Retrieved September 5, 2020, from https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems.
Blackley SV, Huynh J, Wang L, Korach Z, Zhou L. Speech recognition for clinical documentation from 1990 to 2018: a systematic review. J Am Med Inform Assoc. 2019;26(4):324–38. https://doi.org/10.1093/jamia/ocy179.
Dunnick NR, Langlotz CP. The radiology report of the future: a summary of the 2007 intersociety conference. J Am Coll Radiol. 2008;5(5):626–9. https://doi.org/10.1016/j.jacr.2007.12.015.
Gunn AJ, Sahani DV, Bennett SE, Choy G. Recent measures to improve radiology reporting: perspectives from primary care physicians. J Am Coll Radiol. 2013;10(2):122–7. https://doi.org/10.1016/j.jacr.2012.08.013.
How to count phonemes in spoken words. n.d. http://wp.auburn.edu/rdggenie/home/lessons/phoncount/.
Kahn CE, Genereaux B, Langlotz CP. Conversion of radiology reporting templates to the MRRT standard. J Digit Imaging. 2015;28(5):528–36. https://doi.org/10.1007/s10278-015-9787-3.
Langlotz CP. The radiology report: a guide to thoughtful communication for radiologists and other medical professionals. 1st ed. San Bernardino: CreateSpace Independent Publishing Platform; 2015.
Larson PA, Berland LL, Griffith B, Kahn CE, Liebscher LA. Actionable findings and the role of IT support: report of the ACR Actionable Reporting Work Group. J Am Coll Radiol. 2014;11(6):552–8. https://doi.org/10.1016/j.jacr.2013.12.016.
LOINC. LOINC. n.d. Retrieved September 5, 2020, from https://loinc.org/.
Minn MJ, Zandieh AR, Filice RW. Improving radiology report quality by rapidly notifying radiologist of report errors. J Digit Imaging. 2015;28(4):492–8. https://doi.org/10.1007/s10278-015-9781-9.
Mityul MI, Gilcrease-Garcia B, Mangano MD, Demertzis JL, Gunn AJ. Radiology reporting: current practices and an introduction to patient-centered opportunities for improvement. Am J Roentgenol. 2018;210(2):376–85. https://doi.org/10.2214/AJR.17.18721.
Nassif AB, Shahin I, Attili I, Azzeh M, Shaalan K. Speech recognition using deep neural networks: a systematic review. IEEE Access. 2019;7:19143–65. https://doi.org/10.1109/ACCESS.2019.2896880.
Oh SC. PORTER: a prototype system for patient-oriented radiology reporting. J Digit Imaging. 2016;29(4):450–4.
Paulett JM, Langlotz CP. Improving language models for radiology speech recognition. J Biomed Inform. 2009;42(1):53–8. https://doi.org/10.1016/j.jbi.2008.08.001.
Quint LE, Quint DJ, Myles JD. Frequency and spectrum of errors in final radiology reports generated with automatic speech recognition technology. J Am Coll Radiol. 2008;5(12):1196–9. https://doi.org/10.1016/j.jacr.2008.07.005.
RadElement. n.d. Retrieved September 5, 2020, from https://www.radelement.org/.
RadLex Playbook. n.d. http://playbook.radlex.org/playbook/SearchRadlexAction.
RadLex Radiology Lexicon. n.d. Retrieved September 5, 2020, from https://www.rsna.org/en/practice-tools/data-tools-and-standards/radlex-radiology-lexicon.
RadLex Term Browser. n.d. Retrieved September 5, 2020, from http://radlex.org/.
Ringler MD, Goss BC, Bartholmai BJ. Syntactic and semantic errors in radiology reports associated with speech recognition software. Health Informatics J. 2017;23(1):3–13. https://doi.org/10.1177/1460458215613614.
Rubin DL. Creating and curating a terminology for radiology: ontology modeling and analysis. J Digit Imaging. 2008;21(4):355–62. https://doi.org/10.1007/s10278-007-9073-0.
Rubin DL, Kahn CE. Common data elements in radiology. Radiology. 2017;283(3):837–44.
SNOMED. 5-Step briefing. n.d. Retrieved September 5, 2020, from http://www.snomed.org/snomed-ct/five-step-briefing.
Structural Informatics Group. Foundational model of anatomy. n.d. Retrieved September 5, 2020, from http://www.si.washington.edu/projects/fma.
Unified Medical Language System (UMLS). [List of Links]. U.S. National Library of Medicine. n.d. Retrieved September 5, 2020, from https://www.nlm.nih.gov/research/umls/index.html.
Voll K, Atkins S, Forster B. Improving the utility of speech recognition through error detection. J Digit Imaging. 2008;21(4):371–7. https://doi.org/10.1007/s10278-007-9034-7.
Wikipedia. Critical test results management. 2019. https://en.wikipedia.org/w/index.php?title=Critical_Test_Results_Management&oldid=930955989.
Wikipedia. International classification of diseases. 2020. https://en.wikipedia.org/w/index.php?title=International_Classification_of_Diseases&oldid=973693987.
Zhou L, Blackley SV, Kowalski L, Doan R, Acker WW, Landman AB, Kontrient E, Mack D, Meteer M, Bates DW, Goss FR. Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists. JAMA Netw Open. 2018;1(3):e180530. https://doi.org/10.1001/jamanetworkopen.2018.0530.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Kim, W. (2021). Reporting and Dictation. In: Branstetter IV, B.F. (eds) Practical Imaging Informatics. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-1756-4_18
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1756-4_18
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-0716-1755-7
Online ISBN: 978-1-0716-1756-4
eBook Packages: MedicineMedicine (R0)