Evidence map›Paper›PMID 35309002›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021

Agile Implementation of Innovative End to End Technical Solutions for Respiratory Testing in the COVID-19 Pandemic.

Tamara Moores Todd, Kathryn G Kuttler, Diego Ize-Ludlow

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. 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
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.

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

3 authors.

Tamara Moores ToddIntermountain Healthcare, Salt Lake City, Utah.
Kathryn G KuttlerIntermountain Healthcare, Salt Lake City, Utah.
Diego Ize-LudlowIntermountain Healthcare, Salt Lake City, Utah.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic required rapid implementation testing at large scale. We describe our approach to creating an efficient and highly scalable end-to-end testing and reporting workflow. We utilized a combination of consumer-driven workflows, a consistent ordering and data collection EMR user interface, an EMR independent entry point for affiliated providers, and rapidly evolving automation of screening, registration, patient identification, curbside specimen management, and prioritization logic. Our agile approach allowed us to transition from people-driven processes and gain efficiencies utilizing previously developed informatics infrastructure, new solutions and emerging consumer digital tools. We supported over 1,000,000 tests with >200 prioritization logic changes without requiring education or changing the provider ordering workflows, handled patient-driven screening, data collection, and ordering of up to 9 patients/minute while decreasing curbside specimen collection from more than 39 to less than 17 minutes per patient. The approach supported texting consumers and standards-based reporting to public health agencies.

Indexed as

COVID-19HumansPandemicsPublic HealthWorkflow

Identifiers

PMID35309002
PMCPMC8861764

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.