Evidence map›Paper›PMID 36990854›Full record

Observational studyThe Journal of emergency medicine2023

Exploratory Descriptive Analysis of Smart Speaker Utilization in the Emergency Department During the COVID-19 Pandemic.

Jessica Franco, Yauheni Solad, Arjun K Venkatesh, Reinier Van Tonder, Alexander Solod, Tomek Stachowiak, Allen L Hsiao, Rohit B Sangal

Abstract readObservational Study
In one paragraph

Observational study in The Journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Jessica FrancoYale University School of Medicine, New Haven, Connecticut.
Yauheni SoladDigital Health and Telemedicine, Information Technology Services, Yale University and Yale New Haven Health System, New Haven, Connecticut.
Arjun K VenkateshDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Reinier Van TonderDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Alexander SolodUniversity of Connecticut, Storrs, Connecticut.
Tomek StachowiakDepartment of Information Technology Services, Yale New Haven Health System, New Haven, Connecticut.
Allen L HsiaoDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut; Department of Information Technology Services, Yale New Haven Health System, New Haven, Connecticut; Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut.
Rohit B SangalDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundIn March 2020, the U.S. Department of Health and Human Services Office for Civil Rights stated that they would use discretion when enforcing the Health Insurance Portability and Accountability Act regarding remote communication technologies that promoted telehealth delivery during the COVID-19 pandemic. This was in an effort to protect patients, clinicians, and staff. More recently, smart speakers-voice-activated, hands-free devices-are being proposed as productivity tools within hospitals.

objectiveWe aimed to characterize the novel use of smart speakers in the emergency department (ED).

methodsA retrospective observational study of Amazon Echo Show® utilization from May 2020 to October 2020 in a large academic Northeast health system ED. Voice commands and queries were classified as either patient care-related or non-patient care-related, and then further subcategorized to explore the content of given commands.

resultsOf 1232 commands analyzed, 200 (16.23%) were determined to be patient care-related. Of these commands, 155 (77.5%) were clinical in nature (i.e., "drop in on triage") and 23 (11.5%) were environment-enhancing commands (i.e., "play calming sounds"). Among non-patient care-related commands, 644 (62.4%) were for entertainment. Among all commands, 804 (65.3%) were during night-shift hours, which was statistically significant (p < 0.001).

conclusionsSmart speakers showed notable engagement, primarily being used for patient communication and entertainment. Future studies should examine content of patient care conversations using these devices, effects on frontline staff wellbeing, productivity, patient satisfaction, and even explore opportunities for "smart" hospital rooms.

Indexed as

COVID-19TelemedicineEmergency Service, HospitalHumansPandemicsRetrospective StudiesCOVID-19smart speakertelehealth

Identifiers

PMID36990854
PMCPMC9837211

What OpenQuestion holds

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Registered trials

None linked

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.