![]() The magnitude of the resources needed to transcribe clinical notes is a substantial barrier to the move from a handwritten to an electronic medical record. Although data input can be accomplished by template-based self-entry, the most common input process is dictation of the text and subsequent transcription. Speech recognition is viewed as an important future option for electronic health record information entry. When implemented in an organization with an existing document-processing infrastructure (which included training and interfaces of the speech-recognition editor with the existing document entry application), speech recognition did not improve the productivity of secretaries or transcriptionists. Author, secretary, and type of clinical note were significant (p < 0.05) predictors of productivity.Ĭonclusion. ![]() Psychiatry transcriptionists and secretaries were similarly less productive. Secretaries in the endocrinology division were 87.3% (confidence interval, 83.3%, 92.3%) as productive with the speech-recognition technology as implemented in this study as they were using standard transcription. Secretarial and transcriptionist productivity, defined as hours of secretary work per minute of dictation processed, was determined for speech recognition and standard transcription. ![]() The amount of time spent processing a dictation to yield a finished document also was measured. The duration of each dictation was measured. Secretaries and transcriptionists also were assigned randomly to each of these processes. Clinical note dictations from physicians in two specialty divisions were randomized to either a standard transcription process or a speech-recognition process. Our objective was to evaluate the use of speech-recognition technology in a randomized controlled trial using our institutional infrastructure.ĭesign. ![]() It is most likely to be accepted across an organization if physicians can dictate without concerning themselves with real-time recognition and editing assistants can then edit and process the computer-generated document. Speech recognition promises to reduce information entry costs for clinical information systems. ![]()
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