Quality-of-service improvements from coupling a digital chest unit with integrated speech recognition, information, and Picture Archiving and Communications Systems

Pavlicek, William; Muhm, John R.; Collins, Joe M.; Zavalkovskiy, Boris; Peter, Bradley S.; Hindal, Mark D.

doi:10.1007/bf03168855

Cited by 13 publications

(3 citation statements)

References 10 publications

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“…Full text for 3 articles could not be obtained from the British Library and were therefore excluded. Seventy-eight articles were excluded with reasons: did not report the outcome measures of interest ; did not report objective measure of patients' waiting times, is an opinion piece, an editorial or theoretical paper [69][70][71][72][73][74][75][76][77][78][79][80][81][82][83]; did not report any intervention [84][85][86][87][88][89] and was withdrawn from publication [90]. Sixty-three articles (57 studies) met the inclusion criteria.…”

Section: Resultsmentioning

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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Section: Resultsmentioning

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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“…11,12 To have realistic expectations of performance gains possible with speech recognition, it is useful to have a global understanding of the workflow in radiology and the possible points at which automation may be applied. The base case represents a film-based department with human transcription.…”

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confidence: 99%

Impact of Speech Recognition on Radiologist Productivity

Langer

2002

Journal of Digital Imaging

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A survey was conducted of radiology practices with productivity data from at least 3 of the following 4 workflows: film with manual transcription, filmless with manual transcription, film with speech recognition, and filmless with speech recognition. Two surveys were submitted to candidate sites. The first was used to ascertain suitable available data for follow-up. The second survey requested data for report turn around times, full-time equivalent (FTE) staffing levels, and report volume. Data were collected and stored in a Microsoft Access database and statistical analysis performed in Excel. Whereas several metrics were used, the normalized figure of reports-per-day/ FTE was found to have improved an average of 1.9 (for filmless with speech recognition) and 2.3 (for film with speech recognition) over the film with manual transcription case. Filmless with manual transcription was only 1.4 times the value of the all manual case. At the 10% confidence level, both filmless with manual transcription and film with speech recognition workflows were found to have statistically significant enhanced productivity. Insufficient data exist to show if the fully automated workflow (filmless with speech recognition) offers benefits over 2 previous semiautomated workflows.

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“…El tiempo que necesitan los radiólogos que realizan el dictado o los transcriptores para las correcciones está directamente relacionado con el porcentaje de reconocimiento del SRH (17,26,(29)(30)(31) . Este depende de factores intrínsecos del SRH (es decir, calidad de grabación, volumen del glosario, potencia del PC) y de factores condicionados por el proceso (forma de hablar del usuario, forma de sostener el micrófono, ruidos ambientales, etc.)…”

Section: Porcentaje De Reconocimientounclassified

Repercusión De Un Sistema De Reconocimiento Del Habla Integrado en Un Pacs/Ris Con Respecto Al Tiempo Invertido en Elaborar Y Poner a Disposición Los Informes Radiológicos

Trumm¹,

Gläser²,

Paasche³

et al. 2008

Rev. chil. radiol.

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Purpose: Quantification of the impact of a PACS/RIS-integrated speech recognition system (SRS) on the time expenditure for radiology reporting and on hospital-wide report availability (RA) in a university institution. Material and methods: In a prospective pilot study, the following parameters were assessed for 669 radiographic examinations (CR): 1. time requirement per report dictation (TED: dictation time (s)/number of images (examination) x number of words (report)) with either a combination of PACS/ tape-based dictation (TD: analog dictation device/ minicassette/transcription) or PACS/RIS/speech recognition system(RR: remote recognition/transcription and OR: online recognition/self-correction by radiologist), respectively, and 2. the ReportTurnaround Time (RTT) as the time interval from the entryof the first image into the PACS to the available RIS/HIS report. Two equal time periods were chosen retrospectively from the RIS database: 11/2002-2/2003 (only TD) and 11/2003-2/2004 (only RR or OR with speech recognition system (SRS)). The midterm (≥ 24 h, 24 h intervals) and short-term (< 24 h, 1 h intervals) RA after examination completion were calculated for all modalities and for CR, CT, MR and XA/DS separately. The relative increase in the mid-term RA (RIMRA: related to total number of examinations in each time period) and increase in the short-term RA (ISRA: ratio of available reports during the 1st to 24th hour) were calculated. Results: Prospectively, there was a significant difference between TD/RR/OR (n = 151/257/261) regarding mean TED (0.44/0.54/0.62 s (per word and image)) and mean RTT.

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Quality-of-service improvements from coupling a digital chest unit with integrated speech recognition, information, and Picture Archiving and Communications Systems

Cited by 13 publications

References 10 publications

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

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

Impact of Speech Recognition on Radiologist Productivity

Repercusión De Un Sistema De Reconocimiento Del Habla Integrado en Un Pacs/Ris Con Respecto Al Tiempo Invertido en Elaborar Y Poner a Disposición Los Informes Radiológicos

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