Automatic speech recognition in the operating room - An essential contemporary tool or a redundant gadget? A survey evaluation among physicians in form of a qualitative study.

Artificial intelligence Automatic speech recognition Intelligent operating assistance Machine learning Operating room of the future Speech understanding Voice recognition

Journal

Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 04 09 2020
accepted: 06 09 2020
entrez: 30 9 2020
pubmed: 1 10 2020
medline: 1 10 2020
Statut: epublish

Résumé

For decades, automatic speech recognition (ASR) has been the subject of research and its range of applications broadened. Presently, ASR among physicians is mainly used to convert speech into text but not to implement instructions in the operating room (OR). This study aimed to evaluate physicians of different surgical professions on their personal experience and posture towards ASR. A 16-item survey was distributed electronically to hospitals and outpatient clinics in southern Germany addressing physicians on the potential applications of ASR in the OR. The survey was responded by 185 of 2693 physicians (response rate: 6.9%) with a mean age of 41.8 ± 9.8 years. ASR is desirable in the OR regardless of the field of speciality (93.7%). While only 2.7% have used ASR, 87.9% evaluate its future potential as high. 91.0% of those working in a university hospital would consider testing ASR, while 67.5% of those in non-university hospitals and practices (p = 0.001). 90.1% of responders of strictly surgical specialities see potential in ASR while 73.7% in non-surgical specialities evaluate its future potential as high (p = 0.01). 58.3% of those over the age of 60 consider the use of ASR without a headset to be imaginable, while 96.3% among those under the age of 60. There were no statistically significant differences regarding sex and professional position. Foreseeably, ASR is anticipated to be integrated into ORs and valued at a high market potential. Our study provides information about physicians' individual preferences from various surgical disciplines regarding ASR.

Identifiants

pubmed: 32994988
doi: 10.1016/j.amsu.2020.09.015
pii: S2049-0801(20)30318-6
pmc: PMC7501482
doi:

Types de publication

Journal Article

Langues

eng

Pagination

81-85

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

Int J Speech Lang Pathol. 2018 Nov;20(6):599-609
pubmed: 31274357
World J Urol. 2020 Oct;38(10):2359-2366
pubmed: 31776737
J Interprof Care. 2013 Sep;27(5):387-93
pubmed: 23672607
Stud Health Technol Inform. 2019 Aug 21;264:1761-1762
pubmed: 31438331
Innov Surg Sci. 2017 Aug 25;2(3):159-161
pubmed: 31579748
MD Comput. 1995 Jan-Feb;12(1):16-23
pubmed: 7531805
J Cardiothorac Vasc Anesth. 2013 Jun;27(3):528-30
pubmed: 23107015
Surg Neurol Int. 2019 Feb 28;10:26
pubmed: 31123633
Aktuelle Urol. 2018 Dec;49(6):500-508
pubmed: 30522160
Am J Speech Lang Pathol. 2019 Jul 15;28(2S):818-834
pubmed: 31306595

Auteurs

Antonia Schulte (A)

Department of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Freiburg, Germany.

Rodrigo Suarez-Ibarrola (R)

Department of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Freiburg, Germany.

Daniel Wegen (D)

DW-Embedded, Villingen-Schwenningen, Germany.

Philippe-Fabian Pohlmann (PF)

Department of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Freiburg, Germany.

Elina Petersen (E)

Epidemiological Study Center, University Hospital Hamburg, Germany.

Arkadiusz Miernik (A)

Department of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Freiburg, Germany.

Classifications MeSH