Evidence map›Paper›PMID 36029243›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis.

Timothy J Judson, Logan Pierce, Avi Tutman, Michelle Mourad, Aaron B Neinstein, Gina Shuler, Ralph Gonzales, Anobel Y Odisho

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Timothy J JudsonDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-8376-6260
Logan PierceDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Avi TutmanOffice of Population Health, University of California San Francisco, San Francisco, California, USA.
Michelle MouradDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Aaron B NeinsteinDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-9774-7180
Gina ShulerOffice of Population Health, University of California San Francisco, San Francisco, California, USA.
Ralph GonzalesDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Anobel Y OdishoCenter for Digital Health Innovation, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-0975-0812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSymptom checkers can help address high demand for SARS-CoV2 (COVID-19) testing and care by providing patients with self-service access to triage recommendations. However, health systems may be hesitant to invest in these tools, as their associated efficiency gains have not been studied. We aimed to quantify the operational efficiency gains associated with use of an online COVID-19 symptom checker as an alternative to a telephone hotline.

methodsIn our health system, ambulatory patients can either use an online symptom checker or a telephone hotline to be triaged and connected to COVID-19 care. We performed a retrospective analysis of adults who used either method between October 20, 2021 and January 10, 2022, using call logs, electronic health record data, and local wages to calculate labor costs.

resultsOf the 15 549 total COVID-19 triage encounters, 1820 (11.7%) used only the telephone hotline and 13 729 (88.3%) used the symptom checker. Only 271 (2%) of the patients who used the symptom checker also called the hotline. Hotline encounters required more clinician time compared to those involving the symptom checker (17.8 vs 0.4 min/encounter), resulting in higher average labor costs ($24.21 vs $0.55 per encounter). The symptom checker resulted in over 4200 clinician labor hours saved.

conclusionWhen given the option, most patients completed COVID-19 triage and visit scheduling online, resulting in substantial efficiency gains. These benefits may encourage health system investment in such tools.

Indexed as

COVID-19AdultHumansRetrospective StudiesRNA, ViralSARS-CoV-2TriageRNA, Viralclinical decision supportconsumer health informaticsCOVID-19health care deliverysymptom checker

Identifiers

PMID36029243
PMCPMC9667153

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.