These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

443 related articles for article (PubMed ID: 24859725)

  • 1. Creation and implementation of department-wide structured reports: an analysis of the impact on error rate in radiology reports.
    Hawkins CM; Hall S; Zhang B; Towbin AJ
    J Digit Imaging; 2014 Oct; 27(5):581-7. PubMed ID: 24859725
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.
    Hawkins CM; Hall S; Hardin J; Salisbury S; Towbin AJ
    J Digit Imaging; 2012 Aug; 25(4):504-11. PubMed ID: 22270786
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The effect of voice recognition software on comparative error rates in radiology reports.
    McGurk S; Brauer K; Macfarlane TV; Duncan KA
    Br J Radiol; 2008 Oct; 81(970):767-70. PubMed ID: 18628322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software.
    Motyer RE; Liddy S; Torreggiani WC; Buckley O
    Ir J Med Sci; 2016 Nov; 185(4):921-927. PubMed ID: 27696148
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Non-clinical errors using voice recognition dictation software for radiology reports: a retrospective audit.
    Chang CA; Strahan R; Jolley D
    J Digit Imaging; 2011 Aug; 24(4):724-8. PubMed ID: 20976612
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving Radiology Report Quality by Rapidly Notifying Radiologist of Report Errors.
    Minn MJ; Zandieh AR; Filice RW
    J Digit Imaging; 2015 Aug; 28(4):492-8. PubMed ID: 25694167
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving the utility of speech recognition through error detection.
    Voll K; Atkins S; Forster B
    J Digit Imaging; 2008 Dec; 21(4):371-7. PubMed ID: 17387554
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Frequency and spectrum of errors in final radiology reports generated with automatic speech recognition technology.
    Quint LE; Quint DJ; Myles JD
    J Am Coll Radiol; 2008 Dec; 5(12):1196-9. PubMed ID: 19027683
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Syntactic and semantic errors in radiology reports associated with speech recognition software.
    Ringler MD; Goss BC; Bartholmai BJ
    Health Informatics J; 2017 Mar; 23(1):3-13. PubMed ID: 26635322
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Speech recognition in the radiology department: a systematic review.
    Hammana I; Lepanto L; Poder T; Bellemare C; Ly MS
    Health Inf Manag; 2015; 44(2):4-10. PubMed ID: 26157081
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Structured report compliance: effect on audio dictation time, report length, and total radiologist study time.
    Hanna TN; Shekhani H; Maddu K; Zhang C; Chen Z; Johnson JO
    Emerg Radiol; 2016 Oct; 23(5):449-53. PubMed ID: 27344141
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving consistency in radiology reporting through the use of department-wide standardized structured reporting.
    Larson DB; Towbin AJ; Pryor RM; Donnelly LF
    Radiology; 2013 Apr; 267(1):240-50. PubMed ID: 23329657
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Voice recognition for radiology reporting: is it good enough?
    Rana DS; Hurst G; Shepstone L; Pilling J; Cockburn J; Crawford M
    Clin Radiol; 2005 Nov; 60(11):1205-12. PubMed ID: 16223617
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Error rates in breast imaging reports: comparison of automatic speech recognition and dictation transcription.
    Basma S; Lord B; Jacks LM; Rizk M; Scaranelo AM
    AJR Am J Roentgenol; 2011 Oct; 197(4):923-7. PubMed ID: 21940580
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Effect of an Electronic Peer-Review Auditing System on Faculty-Dictated Radiology Report Error Rates.
    Chung JH; MacMahon H; Montner SM; Liu L; Paushter DM; Chang PJ; Katzman GL
    J Am Coll Radiol; 2016 Oct; 13(10):1215-1218. PubMed ID: 27245996
    [No Abstract]   [Full Text] [Related]  

  • 16. The accuracy of radiology speech recognition reports in a multilingual South African teaching hospital.
    du Toit J; Hattingh R; Pitcher R
    BMC Med Imaging; 2015 Mar; 15():8. PubMed ID: 25879906
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Syntactic and Semantic Errors in Radiology Reports Associated With Speech Recognition Software.
    Ringler MD; Goss BC; Bartholmai BJ
    Stud Health Technol Inform; 2015; 216():922. PubMed ID: 26262224
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Laterality errors in radiology reports generated with and without voice recognition software: frequency and clinical significance.
    Luetmer MT; Hunt CH; McDonald RJ; Bartholmai BJ; Kallmes DF
    J Am Coll Radiol; 2013 Jul; 10(7):538-43. PubMed ID: 23827005
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Voice recognition versus transcriptionist: error rates and productivity in MRI reporting.
    Strahan RH; Schneider-Kolsky ME
    J Med Imaging Radiat Oncol; 2010 Oct; 54(5):411-4. PubMed ID: 20958938
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Voice recognition software: effect on radiology report turnaround time at an academic medical center.
    Krishnaraj A; Lee JK; Laws SA; Crawford TJ
    AJR Am J Roentgenol; 2010 Jul; 195(1):194-7. PubMed ID: 20566816
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.