TY - GEN
T1 - Syntactic and Semantic Errors in Radiology Reports Associated with Speech Recognition Software
AU - Ringler, Michael D.
AU - Goss, Brian C.
AU - Bartholmai, Brian J.
N1 - Publisher Copyright:
© 2015 IMIA and IOS Press.
PY - 2015
Y1 - 2015
N2 - Speech recognition software (SRS) has many benefits, but also increases the frequency of errors in radiology reports, which could impact patient care. As part of a quality control project, 13 trained medical transcriptionists proofread 213,977 SRS-generated signed reports from 147 different radiologists over a 40 month time interval. Errors were classified as 'material' if they were believed to alter interpretation of the report. 'Immaterial' errors were subclassified as intrusion/omission or spelling errors. The proportion of errors and error type were compared among individual radiologists, imaging subspecialty, and time periods using.2 analysis and multiple logistic regression, as appropriate. 20,759 (9.7%) reports contained errors; 3,992 (1.9%) contained material errors. Among immaterial errors, spelling errors were more common than intrusion/omission errors (P<.001). Error proportion varied significantly among radiologists and between imaging subspecialties (P<.001). Errors were more common in cross-sectional reports (vs. plain radiography) (OR, 3.72), reports reinterpreting results of outside examinations (vs. in-house) (OR, 1.55), and procedural studies (vs. diagnostic) (OR, 1.91) (all P<.001). Dictation microphone upgrade did not affect error rate (P=.06). Error rate decreased over time (P<.001).
AB - Speech recognition software (SRS) has many benefits, but also increases the frequency of errors in radiology reports, which could impact patient care. As part of a quality control project, 13 trained medical transcriptionists proofread 213,977 SRS-generated signed reports from 147 different radiologists over a 40 month time interval. Errors were classified as 'material' if they were believed to alter interpretation of the report. 'Immaterial' errors were subclassified as intrusion/omission or spelling errors. The proportion of errors and error type were compared among individual radiologists, imaging subspecialty, and time periods using.2 analysis and multiple logistic regression, as appropriate. 20,759 (9.7%) reports contained errors; 3,992 (1.9%) contained material errors. Among immaterial errors, spelling errors were more common than intrusion/omission errors (P<.001). Error proportion varied significantly among radiologists and between imaging subspecialties (P<.001). Errors were more common in cross-sectional reports (vs. plain radiography) (OR, 3.72), reports reinterpreting results of outside examinations (vs. in-house) (OR, 1.55), and procedural studies (vs. diagnostic) (OR, 1.91) (all P<.001). Dictation microphone upgrade did not affect error rate (P=.06). Error rate decreased over time (P<.001).
KW - PowerScribe
KW - quality control
KW - radiology report
KW - report errors
KW - speech recognition
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U2 - 10.3233/978-1-61499-564-7-922
DO - 10.3233/978-1-61499-564-7-922
M3 - Conference contribution
C2 - 26262224
AN - SCOPUS:84951986596
T3 - Studies in Health Technology and Informatics
SP - 922
BT - MEDINFO 2015
A2 - Georgiou, Andrew
A2 - Sarkar, Indra Neil
A2 - de Azevedo Marques, Paulo Mazzoncini
PB - IOS Press
T2 - 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Y2 - 19 August 2015 through 23 August 2015
ER -