Voice recognition versus transcriptionist: Error rates and productivity in MRI reporting
Purpose: Despite the frequent introduction of voice recognition (VR) into radiology departments, little evidence still exists about its impact on workflow, error rates and costs. We designed a study to compare typographical errors, turnaround times (TAT) from reported to verified and productivity fo...
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Veröffentlicht in: | Journal of medical imaging and radiation oncology 2010-10, Vol.54 (5), p.411-414 |
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creator | Strahan, Rodney H Schneider-Kolsky, Michal E |
description | Purpose: Despite the frequent introduction of voice recognition (VR) into radiology departments, little evidence still exists about its impact on workflow, error rates and costs. We designed a study to compare typographical errors, turnaround times (TAT) from reported to verified and productivity for VR‐generated reports versus transcriptionist‐generated reports in MRI.
Methods: Fifty MRI reports generated by VR and 50 finalised MRI reports generated by the transcriptionist, of two radiologists, were sampled retrospectively. Two hundred reports were scrutinised for typographical errors and the average TAT from dictated to final approval. To assess productivity, the average MRI reports per hour for one of the radiologists was calculated using data from extra weekend reporting sessions.
Results: Forty‐two % and 30% of the finalised VR reports for each of the radiologists investigated contained errors. Only 6% and 8% of the transcriptionist‐generated reports contained errors.
The average TAT for VR was 0 h, and for the transcriptionist reports TAT was 89 and 38.9 h. Productivity was calculated at 8.6 MRI reports per hour using VR and 13.3 MRI reports using the transcriptionist, representing a 55% increase in productivity.
Conclusion: Our results demonstrate that VR is not an effective method of generating reports for MRI. Ideally, we would have the report error rate and productivity of a transcriptionist and the TAT of VR. |
doi_str_mv | 10.1111/j.1754-9485.2010.02193.x |
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Methods: Fifty MRI reports generated by VR and 50 finalised MRI reports generated by the transcriptionist, of two radiologists, were sampled retrospectively. Two hundred reports were scrutinised for typographical errors and the average TAT from dictated to final approval. To assess productivity, the average MRI reports per hour for one of the radiologists was calculated using data from extra weekend reporting sessions.
Results: Forty‐two % and 30% of the finalised VR reports for each of the radiologists investigated contained errors. Only 6% and 8% of the transcriptionist‐generated reports contained errors.
The average TAT for VR was 0 h, and for the transcriptionist reports TAT was 89 and 38.9 h. Productivity was calculated at 8.6 MRI reports per hour using VR and 13.3 MRI reports using the transcriptionist, representing a 55% increase in productivity.
Conclusion: Our results demonstrate that VR is not an effective method of generating reports for MRI. Ideally, we would have the report error rate and productivity of a transcriptionist and the TAT of VR.</description><identifier>ISSN: 1754-9477</identifier><identifier>EISSN: 1754-9485</identifier><identifier>DOI: 10.1111/j.1754-9485.2010.02193.x</identifier><identifier>PMID: 20958938</identifier><language>eng</language><publisher>Melbourne, Australia: Blackwell Publishing Asia</publisher><subject>computers in radiology ; economics (medical) ; Efficiency ; Humans ; Magnetic Resonance Imaging ; Quality Control ; Radiology Department, Hospital - organization & administration ; Radiology Information Systems - statistics & numerical data ; Retrospective Studies ; Speech Recognition Software ; transcriptionist ; voice recognition ; Work Simplification</subject><ispartof>Journal of medical imaging and radiation oncology, 2010-10, Vol.54 (5), p.411-414</ispartof><rights>2010 The Authors. Journal of Medical Imaging and Radiation Oncology © 2010 The Royal Australian and New Zealand College of Radiologists</rights><rights>2010 The Authors. Journal of Medical Imaging and Radiation Oncology © 2010 The Royal Australian and New Zealand College of Radiologists.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4083-bda52d934d5f6bbcef14d7ac8afeca15a3ccf3a32a7fdc1a9f897808cb40085b3</citedby><cites>FETCH-LOGICAL-c4083-bda52d934d5f6bbcef14d7ac8afeca15a3ccf3a32a7fdc1a9f897808cb40085b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1754-9485.2010.02193.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1754-9485.2010.02193.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27926,27927,45576,45577</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20958938$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Strahan, Rodney H</creatorcontrib><creatorcontrib>Schneider-Kolsky, Michal E</creatorcontrib><title>Voice recognition versus transcriptionist: Error rates and productivity in MRI reporting</title><title>Journal of medical imaging and radiation oncology</title><addtitle>J Med Imaging Radiat Oncol</addtitle><description>Purpose: Despite the frequent introduction of voice recognition (VR) into radiology departments, little evidence still exists about its impact on workflow, error rates and costs. We designed a study to compare typographical errors, turnaround times (TAT) from reported to verified and productivity for VR‐generated reports versus transcriptionist‐generated reports in MRI.
Methods: Fifty MRI reports generated by VR and 50 finalised MRI reports generated by the transcriptionist, of two radiologists, were sampled retrospectively. Two hundred reports were scrutinised for typographical errors and the average TAT from dictated to final approval. To assess productivity, the average MRI reports per hour for one of the radiologists was calculated using data from extra weekend reporting sessions.
Results: Forty‐two % and 30% of the finalised VR reports for each of the radiologists investigated contained errors. Only 6% and 8% of the transcriptionist‐generated reports contained errors.
The average TAT for VR was 0 h, and for the transcriptionist reports TAT was 89 and 38.9 h. Productivity was calculated at 8.6 MRI reports per hour using VR and 13.3 MRI reports using the transcriptionist, representing a 55% increase in productivity.
Conclusion: Our results demonstrate that VR is not an effective method of generating reports for MRI. Ideally, we would have the report error rate and productivity of a transcriptionist and the TAT of VR.</description><subject>computers in radiology</subject><subject>economics (medical)</subject><subject>Efficiency</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Quality Control</subject><subject>Radiology Department, Hospital - organization & administration</subject><subject>Radiology Information Systems - statistics & numerical data</subject><subject>Retrospective Studies</subject><subject>Speech Recognition Software</subject><subject>transcriptionist</subject><subject>voice recognition</subject><subject>Work Simplification</subject><issn>1754-9477</issn><issn>1754-9485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkF1PwjAUhhujEb_-gumdV8N2XWnrjTEEERFNjAp3Tdd1pAgbthvCv7cT5Nre9OT0Pc9pHgAgRm0czvWsjRlNIpFw2o5R6KIYC9JeH4CT_cPhvmasBU69nyHUwTgRx6AVI0G5IPwETD5Kqw10RpfTwla2LODKOF97WDlVeO3ssmlaX93AnnOlg05VxkNVZHDpyqzWlV3ZagNtAUevgwBalq6yxfQcHOVq7s3F7j4D7_e9t-5D9PTSH3TvniKdIE6iNFM0zgRJMpp30lSbHCcZU5qr3GiFqSJa50SRWLE801iJnAvGEddpghCnKTkDV1tu-M1XbXwlF9ZrM5-rwpS1l4wKGscdikOSb5Pald47k8ulswvlNhIj2WiVM9kYk4092WiVv1rlOoxe7pbU6cJk-8E_jyFwuw1827nZ_BssH0eD15emDoRoSwiqzXpPUO5TdhhhVI6f-5KMhqPhcIzlhPwARUaY9A</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Strahan, Rodney H</creator><creator>Schneider-Kolsky, Michal E</creator><general>Blackwell Publishing Asia</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201010</creationdate><title>Voice recognition versus transcriptionist: Error rates and productivity in MRI reporting</title><author>Strahan, Rodney H ; Schneider-Kolsky, Michal E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4083-bda52d934d5f6bbcef14d7ac8afeca15a3ccf3a32a7fdc1a9f897808cb40085b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>computers in radiology</topic><topic>economics (medical)</topic><topic>Efficiency</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Quality Control</topic><topic>Radiology Department, Hospital - organization & administration</topic><topic>Radiology Information Systems - statistics & numerical data</topic><topic>Retrospective Studies</topic><topic>Speech Recognition Software</topic><topic>transcriptionist</topic><topic>voice recognition</topic><topic>Work Simplification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Strahan, Rodney H</creatorcontrib><creatorcontrib>Schneider-Kolsky, Michal E</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical imaging and radiation oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Strahan, Rodney H</au><au>Schneider-Kolsky, Michal E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Voice recognition versus transcriptionist: Error rates and productivity in MRI reporting</atitle><jtitle>Journal of medical imaging and radiation oncology</jtitle><addtitle>J Med Imaging Radiat Oncol</addtitle><date>2010-10</date><risdate>2010</risdate><volume>54</volume><issue>5</issue><spage>411</spage><epage>414</epage><pages>411-414</pages><issn>1754-9477</issn><eissn>1754-9485</eissn><abstract>Purpose: Despite the frequent introduction of voice recognition (VR) into radiology departments, little evidence still exists about its impact on workflow, error rates and costs. We designed a study to compare typographical errors, turnaround times (TAT) from reported to verified and productivity for VR‐generated reports versus transcriptionist‐generated reports in MRI.
Methods: Fifty MRI reports generated by VR and 50 finalised MRI reports generated by the transcriptionist, of two radiologists, were sampled retrospectively. Two hundred reports were scrutinised for typographical errors and the average TAT from dictated to final approval. To assess productivity, the average MRI reports per hour for one of the radiologists was calculated using data from extra weekend reporting sessions.
Results: Forty‐two % and 30% of the finalised VR reports for each of the radiologists investigated contained errors. Only 6% and 8% of the transcriptionist‐generated reports contained errors.
The average TAT for VR was 0 h, and for the transcriptionist reports TAT was 89 and 38.9 h. Productivity was calculated at 8.6 MRI reports per hour using VR and 13.3 MRI reports using the transcriptionist, representing a 55% increase in productivity.
Conclusion: Our results demonstrate that VR is not an effective method of generating reports for MRI. Ideally, we would have the report error rate and productivity of a transcriptionist and the TAT of VR.</abstract><cop>Melbourne, Australia</cop><pub>Blackwell Publishing Asia</pub><pmid>20958938</pmid><doi>10.1111/j.1754-9485.2010.02193.x</doi><tpages>4</tpages></addata></record> |
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subjects | computers in radiology economics (medical) Efficiency Humans Magnetic Resonance Imaging Quality Control Radiology Department, Hospital - organization & administration Radiology Information Systems - statistics & numerical data Retrospective Studies Speech Recognition Software transcriptionist voice recognition Work Simplification |
title | Voice recognition versus transcriptionist: Error rates and productivity in MRI reporting |
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