Literature DB >> 20023272

Experience with voice recognition in surgical pathology at a large academic multi-institutional center.

Hyunseok Peter Kang1, S Joseph Sirintrapun, Rick J Nestler, Anil V Parwani.   

Abstract

There are few reports of institutional use of voice recognition technology in clinical practice. We describe our experience with voice recognition-integrated synoptic-like dictation, associating templates with key spoken phrases, that we have used in gross examination of common specimens and as a major component of our workflow since 2001. The primary application is VoiceOver Enterprise (Voicebrook, Lake Success, NY), which uses Dragon NaturallySpeaking Medical Edition (Nuance Communications, Burlington, MA) as its speech engine. This integrates with the anatomic pathology laboratory information system (APLIS) and other applications, such as Microsoft Office (Microsoft, Redmond, WA). The largest user group, pathology assistants, mainly dictates biopsy reports, numbering approximately 210,000 specimens since 2001. The technology has been useful in our anatomic pathology workflow and provided a good return on investment, including marked improvements in turnaround time, results standardization, error reduction, and cost savings. The most helpful features of the software are templating, the seamless integration with APLIS, and the voice command creation tools.

Entities:  

Mesh:

Year:  2010        PMID: 20023272     DOI: 10.1309/AJCPOI5F1LPSLZKP

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  5 in total

Review 1.  Electronic Health Record Interactions through Voice: A Review.

Authors:  Yaa A Kumah-Crystal; Claude J Pirtle; Harrison M Whyte; Edward S Goode; Shilo H Anders; Christoph U Lehmann
Journal:  Appl Clin Inform       Date:  2018-07-18       Impact factor: 2.342

Review 2.  Challenges in the pathology of non-muscle-invasive bladder cancer: a dialogue between the urologic surgeon and the pathologist.

Authors:  Donna E Hansel; Jeremy S Miller; Michael S Cookson; Sam S Chang
Journal:  Urology       Date:  2013-03-19       Impact factor: 2.649

3.  Effect of a voice recognition system on pediatric outpatient medication errors at a tertiary healthcare facility in Kenya.

Authors:  Angela N Migowa; William M Macharia; Pauline Samia; John Tole; Alfred K Keter
Journal:  Ther Adv Drug Saf       Date:  2018-06-20

4.  Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study.

Authors:  Sahar Peivandi; Leila Ahmadian; Jamileh Farokhzadian; Yunes Jahani
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-08       Impact factor: 2.796

5.  Physician experience with speech recognition software in psychiatry: usage and perspective.

Authors:  John Fernandes; Ian Brunton; Gillian Strudwick; Suman Banik; John Strauss
Journal:  BMC Res Notes       Date:  2018-10-01
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.