Evidence map›Paper›PMID 37128405›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution.

Tanya Melnik, Joshua A Thompson, Jake Vasilakes, Tucker Annis, Sicheng Zhou, Dalton Schutte, Genevieve B Melton, Susan Pleasants, Rui Zhang

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. 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, top 75% of its field
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, 0 citations in OpenAlex.

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

9 authors at 2 institutions in 1 country.

Tanya MelnikDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Joshua A ThompsonDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Jake VasilakesInstitute for Health Informatics,, University of Minnesota, Minneapolis, MN, USA.
Tucker AnnisFairview Health Services, University of Minnesota, Minneapolis, MN, USA.
Sicheng ZhouInstitute for Health Informatics,, University of Minnesota, Minneapolis, MN, USA.
Dalton SchutteInstitute for Health Informatics,, University of Minnesota, Minneapolis, MN, USA.
Genevieve B MeltonDepartment of Medicine and Surgery, University of Minnesota, Minneapolis, MN, USA.
Susan PleasantsFairview Health Services, University of Minnesota, Minneapolis, MN, USA.
Rui ZhangInstitute for Health Informatics,, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · USMinneapolis VA Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote patient monitoring (RPM) programs are being increasingly utilized in the care of patients to manage acute and chronic disease including with acute COVID-19. The goal of this study is to explore the topics and patterns of patients' messages to the care team in an RPM program in patients with presumed COVID-19. We conducted a topic analysis to 6,262 comments from 3,248 patients enrolled in the COVID-19 RMP at M Health Fairview. Evaluation of comments was performed using LDA and CorEx topic modeling. Subject matter experts evaluated topic models, including identification of and defining topics and categories. Topics plotted over time to identify trends in topic weights over the enrollment period. The overall accuracy of comments assignment to topics by LDA and CorEx models were 72.8% and 88.2%. Most identified topics focused on signs and symptoms of COVID-19. Topics related to COVID-19 diagnosis demonstrated a correlation with announcements of availability of viral and antibody testing in national and local media.

Indexed as

COVID-19COVID-19 TestingHumansMonitoring, PhysiologicCOVID-19Natural language processingpatient-provider communicationRemote monitoringTopic model

Identifiers

PMID37128405
PMCPMC10148278
OpenAlexW4367668514

What OpenQuestion holds

Textmetadata
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.