Evidence map›Paper›PMID 32687152›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado.

Chen-Tan Lin, Kelly Bookman, Amber Sieja, Katie Markley, Richard L Altman, Jeffrey Sippel, Katharine Perica, Lori Reece, Christopher Davis, Edward Horowitz and 9 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  15. Approaches towards fighting the COVID‑19 pandemic (Review).International journal of molecular medicine · 2021
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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

19 authors.

Chen-Tan LinDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Kelly BookmanDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Amber SiejaDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Katie MarkleyUCHealth Medical Group, Loveland, Colorado, USA.
Richard L AltmanDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Jeffrey SippelDivision of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Katharine PericaUCHealth, Aurora, Colorado, USA.
Lori ReeceUCHealth, Aurora, Colorado, USA.
Christopher DavisDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Edward HorowitzUCHealth, Aurora, Colorado, USA.
Larissa PisneyDivision of Infectious Diseases, University of Colorado School of Medicine, Aurora, Colorado, USA.
Peter D SottileDivision of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
David KaoDivision of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Bonnie AdrianUCHealth, Aurora, Colorado, USA.
Melissa SzkilUCHealth, Aurora, Colorado, USA.
Julie GriffinUCHealth, Aurora, Colorado, USA.
Jeanie YoungwerthDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Brendan DrewUCHealth, Aurora, Colorado, USA.
Jonathan PellDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLarge health systems responding to the coronavirus disease 2019 (COVID-19) pandemic face a broad range of challenges; we describe 14 examples of innovative and effective informatics interventions. MATERIALS AND

methodsA team of 30 physician and 17 nurse informaticists with an electronic health record (EHR) and associated informatics tools.

resultsTo meet the demands posed by the influx of patients with COVID-19 into the health system, the team built solutions to accomplish the following goals: 1) train physicians and nurses quickly to manage a potential surge of hospital patients; 2) build and adjust interactive visual pathways to guide decisions; 3) scale up video visits and teach best-practice communication; 4) use tablets and remote monitors to improve in-hospital and posthospital patient connections; 5) allow hundreds of physicians to build rapid consensus; 6) improve the use of advance care planning; 7) keep clinicians aware of patients' changing COVID-19 status; 8) connect nurses and families in new ways; 9) semi-automate Crisis Standards of Care; and 10) predict future hospitalizations. DISCUSSION: During the onset of the COVID-19 pandemic, the UCHealth Joint Informatics Group applied a strategy of "practical informatics" to rapidly translate critical leadership decisions into understandable guidance and effective tools for patient care.

conclusionInformatics-trained physicians and nurses drew upon their trusted relationships with multiple teams within the organization to create practical solutions for onboarding, clinical decision-making, telehealth, and predictive analytics.

Indexed as

COVID-19Medical InformaticsPandemicsTelemedicineAftercareDecision Support Systems, ClinicalDelivery of Health Care, IntegratedElectronic Health RecordsHumansUnited Statesadvance care planningclinical decision supportclinical pathwaysCOVID-19 pandemiccrisis standards of careelectronic health recordsonboard trainingpatient wearablespredictive analyticstelehealthvirtual healthcare

Identifiers

PMID32687152
PMCPMC7454679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.