Evidence map›Paper›PMID 33247720›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Clinical informatics during the COVID-19 pandemic: Lessons learned and implications for emergency department and inpatient operations.

Hanson Hsu, Peter W Greenwald, Matthew R Laghezza, Peter Steel, Richard Trepp, Rahul Sharma

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

6 authors.

Hanson HsuDepartment of Emergency Medicine, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, USA.
Peter W GreenwaldDepartment of Emergency Medicine, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, USA.
Matthew R LaghezzaDepartment of Emergency Medicine, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, USA.
Peter SteelDepartment of Emergency Medicine, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, USA.
Richard TreppDepartment of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA.
Rahul SharmaDepartment of Emergency Medicine, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to a pandemic, hospital leaders can use clinical informatics to aid clinical decision making, virtualizing medical care, coordinating communication, and defining workflow and compliance. Clinical informatics procedures need to be implemented nimbly, with governance measures in place to properly oversee and guide novel patient care pathways, diagnostic and treatment workflows, and provider education and communication. The authors' experience recommends (1) creating flexible order sets that adapt to evolving guidelines that meet needs across specialties, (2) enhancing and supporting inherent telemedicine capability, (3) electronically enabling novel workflows quickly and suspending noncritical administrative or billing functions in the electronic health record, and (4) using communication platforms based on tiered urgency that do not compromise security and privacy.

Indexed as

Clinical Decision-MakingCOVID-19Electronic Health RecordsHospital AdministrationHospital Information SystemsMedical InformaticsAcademic Medical CentersEmergency Service, HospitalHumansMedical Order Entry SystemsNew York CityOrganizational Case StudiesTelemedicineclinical informaticsclinical operationsCOVIDCOVID-19emergency medicine

Identifiers

PMID33247720
PMCPMC7799016

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.