A systematic review of speech recognition technology in health care

Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna SUOMINEN, Jim Basilakis, Linda Dawson

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)
14 Downloads (Pure)

Abstract

Background: To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care.
Methods: A systematic review of existing literature from 2000 was undertaken. Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine,
nursing, technical or support staff), with an evaluation or patient or staff outcomes. Experimental and non-experimental designs were considered.
Six databases (Ebscohost including CINAHL, EMBASE, MEDLINE including the Cochrane Database of Systematic Reviews, OVID Technologies, PreMED-LINE, PsycINFO) were searched by a qualified health librarian trained in systematic
review searches initially capturing 1,730 references. Fourteen studies met the inclusion criteria and were retained.
Results: The heterogeneity of the studies made comparative analysis and synthesis of the data challenging resulting in a narrative presentation of the results. SR, although not as accurate as human transcription, does deliver reduced turnaround times for reporting and cost-effective reporting, although equivocal evidence of improved workflow processes.
Conclusions: SR systems have substantial benefits and should be considered in light of the cost and selection of the SR system, training requirements, length of the transcription task, potential use of macros and templates, the presence
of accented voices or experienced and in-experienced typists, and workflow patterns.
Original languageEnglish
Article number94
Pages (from-to)1-14
Number of pages14
JournalBMC Medical Informatics and Decision Making
Volume14
Issue number1
DOIs
Publication statusPublished - 2014

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