Evidence map›Paper›PMID 34992319›Full record

ArticleThe journal of extra-corporeal technology2021

Alternative Input for Perfusion Management Devices: Voice Recognition for Data Input and the Effects on Charting and Perioperative Calculation Use.

Kara Lung, Brandi Brummer, Scott Sanderson, David W Holt

Abstract read
In one paragraph

Article in The journal of extra-corporeal technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kara LungUniversity of Nebraska Medical Center, Omaha, Nebraska.
Brandi BrummerUniversity of Nebraska Medical Center, Omaha, Nebraska.
Scott SandersonUniversity of Nebraska Medical Center, Omaha, Nebraska.
David W HoltUniversity of Nebraska Medical Center, Omaha, Nebraska.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technology in healthcare has become increasingly prevalent and user friendly. In the last decade, advances in hands-free methods of data input have become more viable in a variety of medical professions. The aim of this study was to assess the advantages or disadvantages of hands-free charting through a voice-to-text app designed for perfusionists. Twelve clinical perfusion students using two different simulated bypass cases were recorded and assessed for the number of events noticed and charted, as well as the speed at which they accomplished these steps. Paper charts were compared with a custom app with voice-to-text charting capability. Data was analyzed using linear mixed models to detect differences in length of time until a chartable event was noticed, and how long after noticing an event it took to record the event. Timeliness of recording an event was made by assessing log-transformed time data. There was significantly more information recorded when charting on paper, while charting with voice-to-text resulted in significantly faster mean time from noticing an event to the recording of it. There was no significant difference between how many events were noticed and recorded. When using paper charting, a higher percentage of events that were missed were drug administration events, while voice charting had a higher percentage of missed events that were associated with cardioplegia delivery or bypass timing. With a decreased time interval between noticing an event and charting the event, speech-to-text for perfusion could be of benefit in situations where many events occur at once, such as emergency situations or highly active portions of bypass such as initiation and termination. While efforts were made to make the app as intuitive as possible, there is room for improvement.

Indexed as

VoiceVoice RecognitionHumansPerfusionUser-Computer Interfacechartingoperating room efficiencypaper chartingperfusionsimulation.voice-input

Identifiers

PMID34992319
PMCPMC8717729

What OpenQuestion holds

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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.