Literature DB >> 19069605

Effect of voice recognition on radiologist reporting time.

Sasha N Bhan1, Craig L Coblentz, Geoffrey R Norman, Sammy H Ali.   

Abstract

OBJECTIVE: To study the effect that voice recognition (VR) has on radiologist reporting efficiency in a clinical setting and to identify variables associated with faster reporting time.
METHODS: Five radiologists were observed during the routine reporting of 402 plain radiograph studies using either VR (n = 217)or conventional dictation (CD) (n = 185). Two radiologists were observed reporting 66 computed tomography (CT) studies using either VR (n = 39) or CD (n = 27). The time spent per reporting cycle, defined as the radiologist's time spent on a study from report finalization to the subsequent report finalization, was compared. As well, characteristics about the radiologist and their reporting style were collected and correlated against reporting time.
RESULTS: For plain radiographs, radiologists took 13.4% (P= 0.048) more time to produce reports using VR, but there was significant variability between radiologists. Significant association with faster reporting times using VR included: English as a first language (r = -0.24), use of a template (r = -0.34), use of a headset microphone (r = -0.46), and increased experience with VR (r= -0.43). Experience as a staff radiologist and having a previous study for comparison did not correlate with reporting time. For CT, there was no significant difference in reporting time identified between VR and CD (P = 0.61).
CONCLUSIONS: Overall, VR slightly decreases the reporting efficiency of radiologists. However, efficiency may be improved if English is a first language, a headset microphone, and macros and templates are used.

Entities:  

Mesh:

Year:  2008        PMID: 19069605

Source DB:  PubMed          Journal:  Can Assoc Radiol J        ISSN: 0846-5371            Impact factor:   2.248


  7 in total

1.  Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.

Authors:  C M Hawkins; S Hall; J Hardin; S Salisbury; A J Towbin
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

2.  Immediate and sustained benefits of a "total" implementation of speech recognition reporting.

Authors:  J L Hart; A McBride; D Blunt; P Gishen; N Strickland
Journal:  Br J Radiol       Date:  2010-03-11       Impact factor: 3.039

Review 3.  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

4.  Digital dictation and voice transcription software enhances outpatient clinic letter production: a crossover study.

Authors:  Kinesh Patel; Marcus Harbord
Journal:  Frontline Gastroenterol       Date:  2012-04-24

Review 5.  Risks and benefits of speech recognition for clinical documentation: a systematic review.

Authors:  Tobias Hodgson; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2015-11-17       Impact factor: 4.497

Review 6.  The challenges, opportunities, and imperative of structured reporting in medical imaging.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2009-12       Impact factor: 4.056

Review 7.  The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review.

Authors:  B Olisemeke; Y F Chen; K Hemming; A Girling
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

  7 in total

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