Evidence map›Paper›PMID 35156929›Full record

ArticleJMIR formative research2022

Notes From the Field: A Voice-Activated Video Communication System for Nurses to Communicate With Inpatients With COVID-19.

Mimi Dunn, Adam Landman, Jennifer Cartright, Anne Bane, Anne Brogan, Caroline Coy, Haipeng Zhang

Abstract read
In one paragraph

Article in JMIR formative research, 2022. 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

7 authors.

Mimi DunnBrigham Digital Innovation Hub, Brigham and Women's Hospital, Mass General Brigham, Boston, MA, United States.ORCID https://orcid.org/0000-0003-0716-5556
Adam LandmanBrigham Digital Innovation Hub, Brigham and Women's Hospital, Mass General Brigham, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2166-0521
Jennifer CartrightBrigham and Women's Hospital, Mass General Brigham, Boston, MA, United States.ORCID https://orcid.org/0000-0003-1929-8751
Anne BaneInformatics and Medication Safety, Brigham and Women's Hospital, Mass General Brigham, Boston, MA, United States.ORCID https://orcid.org/0000-0002-1799-9637
Anne BroganNursing Informatics Team, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2697-7237
Caroline CoyAnalytics, Planning, Strategy and Improvement, Brigham and Women's Hospital, Mass General Brigham, Boston, MA, United States.ORCID https://orcid.org/0000-0003-4997-1118
Haipeng ZhangBrigham Digital Innovation Hub, Brigham and Women's Hospital, Mass General Brigham, Boston, MA, United States.ORCID https://orcid.org/0000-0002-0205-9319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the relaxing of telehealth regulations through the Health Insurance Portability and Accountability Act (HIPAA) waiver notification for Telehealth Remote Communications during the COVID-19 Nationwide Public Health Emergency, our organization had the opportunity to pilot an innovative virtual care solution using a modified consumer-grade voice-activated video communication system (Amazon Echo Show 8) within one inpatient COVID-19 unit. In this brief report, we describe our experiences with implementing the system and general feedback from clinicians, and discuss areas for future development required to enable future scaling of this solution. Our pilot demonstrates the feasibility of deploying a consumer-grade voice assistant device in COVID-19 patient rooms. We found the devices engaging due to the voice technologies and Alexa functionalities for both clinician and patient entertainment. To enable future deployment at scale, enhancements to the Echo Show and data analytics will need to be further explored.

Indexed as

COVID-19hospital systemsInternet of ThingsIoTnursesnursingpublic healthtelehealthvirtual carevoice assistant

Identifiers

PMID35156929
PMCPMC8963263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.