3 In contrast, SR is now widely used in many consumer applications, including interface control and question answering applications in smart phones. 2 However, SR has not been uniformly used across all clinical domains. SR has been adopted successfully in clinical settings such as the dictation of radiology reports where it is used in conjunction with the radiology information system or picture archiving and communication systems. 1 SR is an input mechanism available to assist with clinical documentation by translating speech into text, or verbally controlling user interface functions. Speech recognition (SR) systems for medical reporting have been available commercially for over two decades. However, evidence supporting the use of SR is weak, and further investigation is required to assess the impact of SR on documentation error types, rates, and clinical outcomes. Economic benefits were poorly reported.Ĭonclusions SR is steadily maturing and offers some advantages for clinical documentation.

Mean number of errors per report increased using SR (0.05 to 6.66) compared to DT (0.02 to 0.40). SR accuracy was reported in ten studies (88.90% to 96.00%) and appears to improve 0.03% per year as the technology matured. TAT consistently improved using SR compared to DT (16.41% to 82.34%) across all studies the improvement was 0.90% per year. Dictation time similarly increased in three of five studies (+91.60% to –25.00%). Document editing time increased using SR compared to DT in four of six studies (+1876.47% to –16.50%). Results Most studies compared SR to dictation and transcription (DT) in radiology, and heterogeneity across studies was high. Twenty-three articles met inclusion criteria from a pool of 441. Outcome variables analyzed included dictation and editing time, document turnaround time (TAT), SR accuracy, error rates per document, and economic benefit.

Methods Studies published prior to December 2014 reporting clinical documentation using SR were identified by searching Scopus, Compendex and Inspect, PubMed, and Google Scholar. Objective To review literature assessing the impact of speech recognition (SR) on clinical documentation.

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