Evidence map›Paper›PMID 30285818›Full record

ArticleBMC research notes2018

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

John Fernandes, Ian Brunton, Gillian Strudwick, Suman Banik, John Strauss

Abstract readEvaluation Study
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

John FernandesShannon Centennial Informatics Lab, Centre for Addiction and Mental Health, 1001 Queen St W, Toronto, M6J 1H4, Canada.
Ian BruntonWomen's College Hospital, Toronto, Canada.
Gillian StrudwickShannon Centennial Informatics Lab, Centre for Addiction and Mental Health, 1001 Queen St W, Toronto, M6J 1H4, Canada.
Suman BanikUniversity of Toronto, Toronto, Canada.
John StraussShannon Centennial Informatics Lab, Centre for Addiction and Mental Health, 1001 Queen St W, Toronto, M6J 1H4, Canada. john.strauss@camh.ca.ORCID http://orcid.org/0000-0003-2314-2864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this paper is to extend a previous study by evaluating the use of a speech recognition software in a clinical psychiatry milieu. Physicians (n = 55) at a psychiatric hospital participated in a limited implementation and were provided with training, licenses, and relevant devices. Post-implementation usage data was collected via the software. Additionally, a post-implementation survey was distributed 5 months after the technology was introduced.

resultsIn the first month, 45 out of 51 (88%) physicians were active users of the technology; however, after the full evaluation period only 53% were still active. The average active user minutes and the average active user lines dictated per month remained consistent throughout the evaluation. The use of speech recognition software within a psychiatric setting is of value to some physicians. Our results indicate a post-implementation reduction in adoption, with stable usage for physicians who remained active users. Future studies to identify characteristics of users and/or technology that contribute to ongoing use would be of value.

Indexed as

DocumentationAdultHospitals, PsychiatricHumansMedical Staff, HospitalSpeech Recognition SoftwareBehavioral healthMental healthPsychiatry documentationSpeech recognition software

Identifiers

PMID30285818
PMCPMC6167903

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.