Evidence map›Paper›PMID 33999834›Full record

ArticleJournal of medical Internet research2021

Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.

Tomasz Jadczyk, Wojciech Wojakowski, Michal Tendera, Timothy D Henry, Gregory Egnaczyk, Satya Shreenivas

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Applications of Chatbots in Improving Patient Care Outcomes:Sultan Qaboos University medical journal · 2026
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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

6 authors.

Tomasz JadczykDepartment of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.ORCID 0000-0002-7955-9100
Wojciech WojakowskiDepartment of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.ORCID 0000-0002-3681-5207
Michal TenderaDepartment of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.ORCID 0000-0002-0812-6113
Timothy D HenryThe Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States.ORCID 0000-0003-1123-0533
Gregory EgnaczykThe Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States.ORCID 0000-0002-1909-2334
Satya ShreenivasThe Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States.ORCID 0000-0003-3987-4090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovative telehealth solutions during the COVID-19 pandemic. They allow for automatic acute care triaging and chronic disease management, including remote monitoring, preventive care, patient intake, and referral assistance. This paper focuses on the current clinical needs and applications of artificial intelligence-driven voice chatbots to drive operational effectiveness and improve patient experience and outcomes.

Indexed as

Artificial IntelligenceCommunicationCOVID-19Speech Recognition SoftwareVoiceCell PhoneChronic DiseaseCritical CareDelivery of Health CareHumansPandemicsReferral and ConsultationTelemedicineTriageartificial intelligenceconversational agentCOVID-19virtual carevoice assistantvoice chatbot

Identifiers

PMID33999834
PMCPMC8153030

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.