Voice recognition for radiology reporting: Is it good enough?

Rana, D.S.; Hurst, G.; Shepstone, Lee; Pilling, John; Cockburn, John; Crawford, Michael

doi:10.1016/j.crad.2005.07.002

Cited by 49 publications

(50 citation statements)

References 4 publications

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“…The average RTT decreased in the course of time. Trumm et al 3 and Rana et al 14 also reported decreased turnaround times, but we also found a striking 83% reduction in the standard deviation of RTTs. These figures presenting a skewed distribution of RTTs may result, in practice, not only in faster reporting each time but also improved throughput and quality of patient care.…”

Section: Discussionsupporting

confidence: 67%

“…In this study, a RTT was defined as the time from completion of imaging and PACS archiving to the time when the report was stored in the RIS and available for the clinician online. The comparison of different RTT studies is difficult because observed processes are not necessarily equal among each other [12][13][14] . However, the latest studies are describing that the decrease in RTTs is prominent 3,14,15 .…”

Section: Methodsmentioning

confidence: 99%

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Improvement of Report Workflow and Productivity Using Speech Recognition—A Follow-up Study

2008

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Speech recognition (SR), available since the 1980s, has only recently become sufficiently reliable to allow utilization in medical environment. This study measured the effect of SR for the radiological dictation process and estimated differences in report turnaround times (RTTs). During the transition from cassette-based reporting to SR, the workflow of 14 radiologists was periodically followed up for 2 years in a university hospital. The sample size was more than 20,000 examinations, and the radiologists were the same throughout the study. A RTT was defined as the time from imaging at the modality to the time when the report was available for the clinician. SR cut down RTTs by 81% and the standard deviation by 83%. The proportion of reports available within 1 h escalated from 26% to 58%. The proportion of reports created by SR increased during a follow-up time of this study from 0% up to 88%. SR decreases turnaround times and may thus speed up the whole patient care process by facilitating online reporting. SR was easily adopted and well accepted by radiologists. Our findings encourage the utilization of SR, which improves the productivity and accelerates the workflow with excellent end-user satisfaction.

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Section: Discussionsupporting

confidence: 67%

Section: Methodsmentioning

confidence: 99%

Improvement of Report Workflow and Productivity Using Speech Recognition—A Follow-up Study

2008

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“…Manufacturers claim an accuracy in excess of 95% for the majority of users, but reported error rates for speech recognition systems in radiology vary from 4% to 28% [9][10][11]. The majority of these errors do not result in clinically relevant misinterpretation, but proofreading of dictated text is required (in the same way that proofreading of reports transcribed by secretaries is necessary).…”

Section: Benefits Of a ''Total'' Implementation Of Speech Recognitionmentioning

confidence: 99%

“…Despite evidence of benefit, in terms of reduced report turnaround times [1][2][3][4][5][6], much of the literature about SRR in radiology focuses on the issues of transcription error rates and the increased workload placed on the reporting radiologist [7][8][9][10][11]. We report our experience of a ''total'' (where SRR immediately became the sole means of reporting) implementation of SRR, emphasising the importance of a carefully managed transition for a successful outcome.…”

mentioning

confidence: 99%

Immediate and sustained benefits of a “total” implementation of speech recognition reporting

Hart

McBride²,

Blunt³

et al. 2010

BJR

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“…N Totally integrated digital direct reporting that is perfectly integrated into PACS: VR is a viable reporting method for experienced users [46], and has made as much of an impact on radiology reporting as has PACS. As the final report is made at the time of dictation, it is likely to be more accurate and succinct, and can use predetermined templates to increase reporting efficiency [47].…”

Section: Implementing and Improving Existing Processesmentioning

confidence: 99%

Facing the future: the effects of the impending financial drought on NHS finances and how UK radiology services can contribute to expected efficiency savings

Grant¹,

Appleby²,

Griffin³

et al. 2012

BJR

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ABSTRACT. The recent turmoil within the banking sector has led to the development of the most significant recession since the ''great depression'' of the 1930s. Although the coalition government has promised to ''guarantee that health spending increases in real terms in each year of Parliament'', this may still not be enough to meet future needs over the coming years due to increasing demand and cost pressures. The expected mismatch between actual National Health Service (NHS) funding post-2011 and that required to satisfy increasing demand has been estimated by the Department of Health to require efficiency savings representing up to one-fifth of the overall NHS budget. This paper explains the reasons behind the anticipated slowdown in the growth of real NHS funding, and how, as a discipline, radiology can increase the efficiency of the services it provides in anticipation of future financial austerity within the NHS.

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Voice recognition for radiology reporting: Is it good enough?

Cited by 49 publications

References 4 publications

Improvement of Report Workflow and Productivity Using Speech Recognition—A Follow-up Study

Improvement of Report Workflow and Productivity Using Speech Recognition—A Follow-up Study

Immediate and sustained benefits of a “total” implementation of speech recognition reporting

Facing the future: the effects of the impending financial drought on NHS finances and how UK radiology services can contribute to expected efficiency savings

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