Literature DB >> 3602404

Speech-controlled generation of radiology reports.

A H Robbins, D M Horowitz, M K Srinivasan, M E Vincent, K Shaffer, N L Sadowsky, M Sonnenfeld.   

Abstract

Voice entry has been successfully employed to generate radiology reports with a word recognizer with a 1,000-word lexicon capacity. About 50% of reports were able to be dictated with a single 900-word lexicon. This was split into five sections by anatomic or subspecialty application. Each was augmented to 900 words. By switching from one lexicon to another, it was possible to dictate more than 70% of reports. With exclusive use of three lexicons in subspecialty areas (gastrointestinal radiology, neuroradiology, and mammography), and with further modification of the respective vocabulary, it has been possible to employ the system 88% of the time. Twelve percent of cases included wording that was beyond the scope of the lexicon. Computer subsets that allow different translations of some words when used in different contexts have been used. Some of these are used as triggers that will print whole lines, sentences, or even complete reports. Dictation times with voice entry take about 20% longer. Recognition reliability has been greater than 95%.

Entities:  

Mesh:

Year:  1987        PMID: 3602404     DOI: 10.1148/radiology.164.2.3602404

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

Review 1.  Literature review: picture archiving and communication system.

Authors:  U P Schmiedl; A H Rowberg
Journal:  J Digit Imaging       Date:  1990-11       Impact factor: 4.056

Review 2.  [Speech recognition: impact on workflow and report availability].

Authors:  C Glaser; C Trumm; S Nissen-Meyer; M Francke; B Küttner; M Reiser
Journal:  Radiologe       Date:  2005-08       Impact factor: 0.635

3.  Voice recognition dictation: radiologist as transcriptionist.

Authors:  John A Pezzullo; Glenn A Tung; Jeffrey M Rogg; Lawrence M Davis; Jeffrey M Brody; William W Mayo-Smith
Journal:  J Digit Imaging       Date:  2008-12       Impact factor: 4.056

4.  Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software.

Authors:  R E Motyer; S Liddy; W C Torreggiani; O Buckley
Journal:  Ir J Med Sci       Date:  2016-10-01       Impact factor: 1.568

Review 5.  Electronic Health Record Interactions through Voice: A Review.

Authors:  Yaa A Kumah-Crystal; Claude J Pirtle; Harrison M Whyte; Edward S Goode; Shilo H Anders; Christoph U Lehmann
Journal:  Appl Clin Inform       Date:  2018-07-18       Impact factor: 2.342

6.  Incidence of speech recognition errors in the emergency department.

Authors:  Foster R Goss; Li Zhou; Scott G Weiner
Journal:  Int J Med Inform       Date:  2016-05-26       Impact factor: 4.046

Review 7.  Speech Recognition for Medical Dictation: Overview in Quebec and Systematic Review.

Authors:  Thomas G Poder; Jean-François Fisette; Véronique Déry
Journal:  J Med Syst       Date:  2018-04-03       Impact factor: 4.460

8.  A human friendly reporting and database system for brain PET analysis.

Authors:  M Jamzad; K Ishii; H Toyama; M Senda
Journal:  Ann Nucl Med       Date:  1996-02       Impact factor: 2.668

9.  A case study in designing speech interaction with a patient monitor.

Authors:  A Jungk; B Thull; L Fehrle; A Hoeft; G Rau
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

10.  Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences.

Authors:  Yaron D Derman; Tamara Arenovich; John Strauss
Journal:  BMC Med Inform Decis Mak       Date:  2010-08-25       Impact factor: 2.796

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.