Literature DB >> 16270236

Six characteristics of effective structured reporting and the inevitable integration with speech recognition.

David Liu1, Mark Zucherman, William B Tulloss.   

Abstract

The reporting of radiological images is undergoing dramatic changes due to the introduction of two new technologies: structured reporting and speech recognition. Each technology has its own unique advantages. The highly organized content of structured reporting facilitates data mining and billing, whereas speech recognition offers a natural succession from the traditional dictation-transcription process. This article clarifies the distinction between the process and outcome of structured reporting, describes fundamental requirements for any effective structured reporting system, and describes the potential development of a novel, easy-to-use, customizable structured reporting system that incorporates speech recognition. This system should have all the advantages derived from structured reporting, accommodate a wide variety of user needs, and incorporate speech recognition as a natural component and extension of the overall reporting process.

Mesh:

Year:  2006        PMID: 16270236      PMCID: PMC3043943          DOI: 10.1007/s10278-005-8734-0

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  5 in total

1.  Enhancing the expressiveness and usability of structured image reporting systems.

Authors:  C P Langlotz; L Meininger
Journal:  Proc AMIA Symp       Date:  2000

2.  Expanding the reach of speech recognition. Extending speech technology benefits to transcription workflow can boost productivity.

Authors:  Sanjay Bajaj
Journal:  Health Manag Technol       Date:  2004-03

3.  Information content and clarity of radiologists' reports for chest radiography.

Authors:  J L Sobel; M L Pearson; K Gross; K A Desmond; E R Harrison; L V Rubenstein; W H Rogers; K L Kahn
Journal:  Acad Radiol       Date:  1996-09       Impact factor: 3.173

4.  Expediting the turnaround of radiology reports: use of total quality management to facilitate radiologists' report signing.

Authors:  S E Seltzer; P Kelly; D F Adams; B F Chiango; M A Viera; E Fener; R Rondeau; N Kazanjian; G Laffel; K Shaffer
Journal:  AJR Am J Roentgenol       Date:  1994-04       Impact factor: 3.959

5.  Medical impact of unedited preliminary radiology reports.

Authors:  B L Holman; P Aliabadi; S G Silverman; B N Weissman; L E Rudolph; E F Fener
Journal:  Radiology       Date:  1994-05       Impact factor: 11.105

  5 in total
  9 in total

1.  Improvement of report workflow and productivity using speech recognition--a follow-up study.

Authors:  Tomi Kauppinen; Mika P Koivikko; Juhani Ahovuo
Journal:  J Digit Imaging       Date:  2008-04-24       Impact factor: 4.056

2.  The need for standardization of nuclear cardiology reporting and data system (NCAD-RADS): Learning from coronary artery disease (CAD), breast imaging (BI), liver imaging (LI), and prostate imaging (PI) RADS.

Authors:  Majid Assadi; Erik Velez; Mohammad Hosein Najafi; Ali Gholamrezanezhad
Journal:  J Nucl Cardiol       Date:  2018-10-29       Impact factor: 5.952

3.  Development of an IHE MRRT-compliant open-source web-based reporting platform.

Authors:  Daniel Pinto Dos Santos; G Klos; R Kloeckner; R Oberle; C Dueber; P Mildenberger
Journal:  Eur Radiol       Date:  2016-04-30       Impact factor: 5.315

4.  Using Natural Language Processing to Extract Abnormal Results From Cancer Screening Reports.

Authors:  Carlton R Moore; Ashraf Farrag; Evan Ashkin
Journal:  J Patient Saf       Date:  2017-09       Impact factor: 2.844

5.  Redefining the structure of structured reporting in radiology.

Authors:  J Martijn Nobel; Ellen M Kok; Simon G F Robben
Journal:  Insights Imaging       Date:  2020-02-04

Review 6.  Structured reporting in radiology: a systematic review to explore its potential.

Authors:  J Martijn Nobel; Koos van Geel; Simon G F Robben
Journal:  Eur Radiol       Date:  2021-10-15       Impact factor: 7.034

7.  Voice recognition is here comma like it or not period.

Authors:  Matthew A Fox; Carl J Aschkenasi; Arjun Kalyanpur
Journal:  Indian J Radiol Imaging       Date:  2013-07

8.  Structured reporting in neuro-oncological imaging: achieving reliable prediction of molecular subtypes in glioma based on pre-treatment multi-sequence MRI.

Authors:  Nico Sollmann
Journal:  Eur Radiol       Date:  2021-08-07       Impact factor: 5.315

9.  Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database.

Authors:  Yasmina Al Khalil; Edoardo A Becherucci; Jan S Kirschke; Dimitrios C Karampinos; Marcel Breeuwer; Thomas Baum; Nico Sollmann
Journal:  Sci Data       Date:  2022-03-23       Impact factor: 6.444

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.