title: Speech recognition technology: an outlook for human-to-machine interaction.
abstract: Speech recognition, as an enabling technology in healthcare-systems computing, is a topic that has been discussed for quite some time, but is just now coming to fruition. Traditionally, speech-recognition software has been constrained by hardware, but improved processors and increased memory capacities are starting to remove some of these limitations. With these barriers removed, companies that create software for the healthcare setting have the opportunity to write more successful applications. Among the criticisms of speech-recognition applications are the high rates of error and steep training curves. However, even in the face of such negative perceptions, there remains significant opportunities for speech recognition to allow healthcare providers and, more specifically, physicians, to work more efficiently and ultimately spend more time with their patients and less time completing necessary documentation. This article will identify opportunities for inclusion of speech-recognition technology in the healthcare setting and examine major categories of speech-recognition software--continuous speech recognition, command and control, and text-to-speech. We will discuss the advantages and disadvantages of each area, the limitations of the software today, and how future trends might affect them.
authors.affiliation: Cerner Corporation, Kansas City, Missouri, USA.
authors.forename: T
authors.initials: T
authors.lastname: Erdel
authors.forename: S
authors.initials: S
authors.lastname: Crooks
mesh_terms: D019981:Health Care Sector / Q000639:trends*; D006801:Humans; D008328:Man-Machine Systems; D012984:Software; D013060:Speech; D014481:United States; D014584:User-Computer Interface