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

Hart, Jonathan; McBride, Amanda Moore; Blunt, Dominic; Gishen, P.; Strickland, Nicola H.

doi:10.1259/bjr/58137761

Cited by 24 publications

(19 citation statements)

References 8 publications

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“…Of their 71 erroneous reports, irrespective of the dictation method used, 52 % had errors that affected understanding of the report, but with none considered to adversely affect patient care [8]. One group [2] noted importantly, that typists also perform unequally. Another [9], with post-SR statistical error detection, found an error reduction of 96 %.…”

Section: Discussionmentioning

confidence: 99%

“…Transportation of digital tapes, transcription, and the radiologists' correction of and signoff on transcripts are all stages of the process during which queues or staff absences can result in delays measured in days rather than hours. Delays in the radiologists' finalization of reports may be particularly detrimental for report turnaround times (RTT) [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…From the current literature, the benefits from computerized speech recognition (SR), its immediate finalization, and the resultant rapid reporting, are indisputable [1,2]. Accumulating evidence shows that SR significantly speeds RTT [3,4].…”

Section: Introductionmentioning

confidence: 99%

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Learning Curve of Speech Recognition

2013

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Speech recognition (SR) speeds patient care processes by reducing report turnaround times. However, concerns have emerged about prolonged training and an added secretarial burden for radiologists. We assessed how much proofing radiologists who have years of experience with SR and radiologists new to SR must perform, and estimated how quickly the new users become as skilled as the experienced users. We studied SR log entries for 0.25 million reports from 154 radiologists and after careful exclusions, defined a group of 11 experienced radiologists and 71 radiologists new to SR (24,833 and 122,093 reports, respectively). Data were analyzed for sound file and report lengths, character-based error rates, and words unknown to the SR's dictionary. Experienced radiologists corrected 6 characters for each report and for new users, 11. Some users presented a very unfavorable learning curve, with error rates not declining as expected. New users' reports were longer, and data for the experienced users indicates that their reports, initially equally lengthy, shortened over a period of several years. For most radiologists, only minor corrections of dictated reports were necessary. While new users adopted SR quickly, with a subset outperforming experienced users from the start, identification of users struggling with SR will help facilitate troubleshooting and support.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Learning Curve of Speech Recognition

2013

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“…SRR was evaluated in 11 (19 % of 57) studies [110][111][112][113][114][115][116][117][118][119][120][121].…”

Section: Speech Recognition Reporting (Srr)mentioning

confidence: 99%

“…Although all 11 studies used designs with a high inherent risk of bias. The results suggest that a 'total' (100 %) SRR implementation might be more effective than partial implementation [111] and even better when combined with QMMs [112]. However 100 % SRR adoption might be a difficult proposition for organisations with teaching commitments [113].…”

Section: Productivity-enhancing Technologiesmentioning

confidence: 99%

The Effectiveness of Service Delivery Initiatives at Improving Patients’ Waiting Times in Clinical Radiology Departments: A Systematic Review

et al. 2014

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We reviewed the literature for the impact of service delivery initiatives (SDIs) on patients' waiting times within radiology departments. We searched MEDLINE, EMBASE, CINAHL, INSPEC and The Cochrane Library for relevant articles published between 1995 and February, 2013. The Cochrane EPOC risk of bias tool was used to assess the risk of bias on studies that met specified design criteria. Fifty-seven studies met the inclusion criteria. The types of SDI implemented included extended scope practice (ESP, three studies), quality management (12 studies), productivity-enhancing technologies (PETs, 29 studies), multiple interventions (11 studies), outsourcing and pay-for-performance (one study each). The uncontrolled pre-and post-intervention and the postintervention designs were used in 54 (95 %) of the studies. The reporting quality was poor: many of the studies did not test and/or report the statistical significance of their results. The studies were highly heterogeneous, therefore metaanalysis was inappropriate. The following type of SDIs showed promising results: extended scope practice; quality management methodologies including Six Sigma, Lean methodology, and continuous quality improvement; productivityenhancing technologies including speech recognition reporting, teleradiology and computerised physician order entry systems. We have suggested improved study design and the mapping of the definitions of patient waiting times in radiology to generic timelines as a starting point for moving towards a situation where it becomes less restrictive to compare and/or pool the results of future studies in a meta-analysis.

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Imaging Systems in Radiology

Erickson

Greenes

2013

Biomedical Informatics

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

Cited by 24 publications

References 8 publications

Learning Curve of Speech Recognition

Learning Curve of Speech Recognition

The Effectiveness of Service Delivery Initiatives at Improving Patients’ Waiting Times in Clinical Radiology Departments: A Systematic Review

Imaging Systems in Radiology

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