Voice recognition versus transcriptionist: Error rates and productivity in MRI reporting

Journal of Medical Imaging and Radiation Oncology

Volumn 54, Issue 5, 2010, Pages 411-414

  Strahan, Rodney H ^a   Schneider Kolsky, Michal E ^b  

^a MONASH MEDICAL CENTRE   (Australia)

^b MONASH UNIVERSITY   (Australia)

Author keywords

computers in radiology; economics (medical); magnetic resonance imaging; transcriptionist; voice recognition

Indexed keywords

ARTICLE; AUTOMATIC SPEECH RECOGNITION; IMAGE ANALYSIS; MEDICAL ERROR; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RADIOLOGIST;

EFFICIENCY; HUMANS; MAGNETIC RESONANCE IMAGING; QUALITY CONTROL; RADIOLOGY DEPARTMENT, HOSPITAL; RADIOLOGY INFORMATION SYSTEMS; RETROSPECTIVE STUDIES; SPEECH RECOGNITION SOFTWARE; WORK SIMPLIFICATION;

EID: 78349297201     PISSN: 17549477     EISSN: 17549485     Source Type: Journal    
DOI: 10.1111/j.1754-9485.2010.02193.x     Document Type: Article

References (10)

1. Reinus WR,. Economics of radiology report editing using voice recognition technology. J Am Coll Radiol 2007; 4: 890 - 4.
2. Boland GWL, Giumaraes AS, Mueller PR,. Radiology report turnaround: expectations and solutions. Eur Radiol 2008; 18: 1326 - 8.
3. Rana DS, Hurst G, Shepstone L, Pilling J, Cockburn J, Crawford M,. Voice recognition for radiology reporting: is it good enough? Clin Radiol 2005; 60: 1205 - 12.
4. Pezzullo JA, Tung GA, Jefferey MR, Lawrence MD, Jefferey MB, William WM,. Voice recognition dictation: radiologist vs transcriptionist. J Digit Imaging 2008; 21: 384 - 9.
5. 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: 1196 - 9.
6. Voll K, Atkins S, Forster B,. Improving the utility of speech recognition through error detection. J Digit Imaging 2008; 21: 371 - 7.
7. McGurk S, Brauer K, Macfarlane TV, Duncan KA,. The effect of voice recognition software on comparative error rates in radiology reports. BJR 2008; 81: 767 - 70.
8. Ramaswamy MR, Chaljub G, Esch O, Fanning DD, VanSonnenberg E,. Continous speech recognition in MR imaging reporting: advantages, disadvantages, and impact. Am J Roentgenol 2000; 174: 617 - 22.
9. Thrall JH,. Reinventing radiology in the digital age: part 1. The all digital department. Radiology 2005; 236: 382 - 5.
10. Bhan SN, Boblentz CL, Norman GR, Ali SH,. Effect of voice recognition on radiologist reporting time. Can Assoc Radiol J 2008; 59: 203 - 9.